Top 24 Fivetran Alternatives: Best ETL Solutions for Your Needs

Looking for alternatives to Fivetran?

This article reviews the best data integration platforms in 2025, including a look at Fivetran alternatives, while comparing features, pricing and capabilities. Find the right solution for your needs, whether it’s flexibility, cost savings or enhanced functionality.

Overview of Fivetran Platform

Image Source: Fivetran

Fivetran is a cloud-based automated data movement platform that simplifies the process of extracting, loading, and transforming data from various sources to destinations. With a wide range of pre-built connectors, Fivetran enables organizations to centralize their data for analytics and business intelligence purposes. Its fully managed, zero-maintenance pipelines ensure reliable and secure data movement, allowing teams to focus on deriving insights rather than managing infrastructure.

Why Teams Look Beyond Fivetran

Fivetran is a go-to solution for automated ELT, but it’s not a one-size-fits-all platform. As data ecosystems evolve, many organizations are realizing they need more than just plug-and-play pipelines. Whether it’s better pricing control, deeper customization, or compatibility with hybrid environments, modern data teams are turning to alternatives that offer more flexibility and control.

Here’s some common reasons why companies are exploring other options:

1. Rising Costs with Data Growth - Fivetran’s row-based pricing model can quickly escalate for high-volume pipelines or real-time sync jobs.

2. Lack of Customization - While Fivetran simplifies setup, it can restrict flexibility for teams that need advanced transformations, CI/CD integration, or self-hosted deployments.

3. Connector Limitations - Despite having 300+ connectors, Fivetran may not support niche, internal, or industry-specific sources that some businesses rely on.

4. Vendor Lock-In Concerns - Some teams prefer open-source or self-hosted tools to avoid dependency on a single SaaS provider.

5. Not Ideal for Hybrid Architectures - Fivetran’s cloud-first design makes it less suitable for organizations with on-prem systems or hybrid data environments.

Key Questions to Ask When Evaluating a Data Integration Platform

• Can it connect to all of our critical systems, databases, and SaaS tools?

• Does it support real-time data sync, streaming, or change data capture (CDC)?

• Can we customize data logic, transformations, or integrate with our CI/CD workflows?

• Is it limited to cloud-only, or can it be deployed in on-prem or hybrid environments?

• Will the pricing model scale predictably with our data growth?

• Does it offer scheduling, orchestration, and full pipeline automation?

• Does it meet our security, privacy, and compliance requirements? and privacy needs?

The 24 Best Fivetran Alternatives & Competitors

With the evolving landscape of data integration in 2025, companies are looking for various alternatives to Fivetran that fit different integration needs. Here are the top alternatives:

Factory Thread - Best for Manufacturing Data Integration

Factory Thread simplifies manufacturing data integration by unifying ERP, MES, CRM, and IoT systems in real time. Unlike general-purpose data tools like Fivetran, Factory Thread is purpose-built for operational teams and plant environments, minimizing data duplication and accelerating insights.

Why Factory Thread is a Top Fivetran Alternative in 2025

While Fivetran is designed for broad ETL and ELT across industries, it lacks vertical-specific intelligence. Factory Thread excels for manufacturing teams with real-time alerts, low-code workflow tools, and AI-assisted integrations directly embedded in production workflows.

What Factory Thread is Ideal For

Factory Thread is ideal for:

• Manufacturing teams connecting ERP, MES, CRM, and shop floor systems

• Reducing data silos with real-time integration

• Automating operational workflows with low-code tools

• Embedding analytics into production apps and dashboards

• Running edge, cloud, or hybrid deployments with Cloud MES Software

Factory Thread vs Fivetran: 2025 Comparison

Summary:

• Factory Thread is ideal for manufacturers needing unified data, real-time alerting, and embedded analytics across ERP, MES, and quality systems without code-heavy integration.

• Fivetran is best for general-purpose data teams needing automated ELT pipelines and large connector libraries across SaaS tools and databases.

Matillion - Best for Cloud Data Transformations

Overview:

Matillion is a cloud-native data integration platform that specializes in transforming data for analytics and machine learning. With its intuitive interface and robust transformation engine, it allows organizations to orchestrate ELT workflows at scale within cloud data warehouses like Snowflake, BigQuery, Redshift, and Databricks.

Key Features:

• No-code and low-code pipeline builder with drag-and-drop UI

• Native integrations with major cloud data warehouses

• Built-in connectors for SaaS apps, databases, and files

• Support for LLM-powered data transformation and orchestration

• Job versioning, scheduling, and parameterization

• REST API and webhook support for automation

• Deployment via Matillion ETL or Matillion Data Productivity Cloud

Strengths:

• Designed for cloud-first data environments

• Ideal for cross-functional collaboration between data engineers and analysts

• AI/LLM features speed up pipeline design and documentation

• Scalable for enterprise-grade transformations across large datasets

Limitations:

• Pricing is not always transparent and varies by deployment model

• Some advanced features may still require SQL or scripting knowledge

• Not ideal for on-prem or hybrid environments lacking cloud integration

Best For:

• Cloud-native organizations using Snowflake, BigQuery, Redshift, or Databricks

• Teams with mixed technical skill levels

• Enterprises looking to modernize ELT workflows with low-code tools

Why It’s a Strong ADF Alternative:

Compared to Azure Data Factory, Matillion offers a more streamlined experience for cloud data transformations, especially within modern cloud warehouses. While ADF supports a wider range of hybrid and legacy systems, Matillion excels in rapid ELT development, collaboration, and transformation-centric workflows. It’s a great fit for teams prioritizing speed, usability, and cloud alignment.

Airbyte – Best for Open-Source Flexibility & Custom Connectors

Overview:

Airbyte is an open-source data integration platform designed to give teams full control over their data pipelines. With over 600 pre-built connectors and the ability to create custom ones in minutes, Airbyte supports flexible, scalable ELT across cloud, on-prem, and hybrid environments. It empowers data teams to integrate at their own pace with no vendor lock-in.

Key Features:

• 600+ pre-built connectors for APIs, SaaS tools, databases, and files

• Connector Development Kit (CDK) for fast custom connector creation

• Support for Change Data Capture (CDC) and incremental syncs

• Flexible deployment: open-source, cloud, or self-hosted

• Built-in logging, monitoring, and scheduling tools

• Integration with orchestration tools like Airflow and Kubernetes

Strengths:

• Completely open-source with strong developer community support

• High customizability for long-tail and internal data sources

• Rapid innovation and frequent connector updates

• No vendor lock-in—host it your way

Limitations:

• Requires technical expertise to deploy and manage

• UI and UX less polished than some commercial alternatives

• Limited enterprise support unless using Airbyte Cloud

Best For:

• Data teams needing custom or long-tail connector support

• Organizations with in-house engineering resources

• Businesses prioritizing open-source tools and cost control

Why It’s a Strong ADF Alternative:

While Azure Data Factory is tightly integrated with Microsoft Azure and suited for enterprise IT workflows, Airbyte provides greater flexibility and openness for engineering-led teams. Its open-source nature allows full control over data pipelines, ideal for companies that value extensibility, transparency, and hybrid deployment models. For teams building modern, adaptable stacks, Airbyte is a compelling ADF alternative.

Stitch – Best for Small to Medium Businesses

Overview:
Stitch is a cloud-native ETL service designed for simplicity, speed, and accessibility, making it a favorite among startups and SMBs. It allows users to quickly extract and load data from over 140 sources into leading data warehouses with minimal configuration or maintenance.

Key Features:

• 140+ pre-built data connectors

• Automated, incremental data replication

• SOC 2 Type II compliance and secure data handling

• Simple setup with a clean, intuitive UI

• Built-in scheduler and monitoring features

• Support for major destinations like BigQuery, Redshift, Snowflake, and more

Strengths:

• Easy to implement with no engineering support needed

• Affordable pricing for low-to-moderate data volumes

• Strong focus on data pipeline reliability and uptime

• Trusted by startups and agile data teams

Limitations:

• Limited customization and transformation features

• Costs scale quickly with higher row counts

• No support for complex workflows or advanced orchestration

Best For:

• Startups and SMBs needing basic ELT without heavy overhead

• Teams with limited data engineering resources

• Organizations prioritizing quick deployment and affordability

Why It’s a Strong ADF Alternative:
Compared to Azure Data Factory, Stitch offers a lightweight, no-fuss approach to data movement. While ADF is powerful and customizable, it can be overkill for small teams. Stitch strips away the complexity and provides a low-barrier solution for syncing SaaS and database sources, especially for growing businesses that want value without the enterprise learning curve.

Hevo Data – Best for Real-Time Data Replication

Overview:
Hevo Data is a fully managed data pipeline platform that enables real-time data replication across more than 150 sources. Designed for minimal setup and zero maintenance, it’s ideal for businesses that need timely and reliable data for analytics and decision-making.

Key Features:

• 150+ connectors for databases, SaaS apps, and more

• Real-time replication with built-in data quality checks

• No-code interface for pipeline configuration

• Automated schema mapping and error handling

• Support for destinations like Snowflake, BigQuery, Redshift, and Databricks

• Transparent pricing and usage-based plans

Strengths:

• Real-time data sync for fresh insights

• Intuitive, no-code interface for business users

• Minimal engineering involvement

• Built-in monitoring and alerting

Limitations:

• Limited support for long-tail or niche connectors

• Some users may outgrow its feature set at scale

• Not ideal for highly complex transformation workflows

Best For:

• Businesses that need real-time data availability

• Teams with limited technical resources

• Organizations focused on analytics and dashboarding

Why It’s a Strong ADF Alternative:
While Azure Data Factory supports batch processing and hybrid environments, Hevo excels in streaming and real-time use cases. For teams prioritizing speed, simplicity, and minimal maintenance, Hevo offers a plug-and-play alternative to ADF’s more customizable—but more complex—architecture.

Informatica – Best for Comprehensive Enterprise Data Management

Overview:
Informatica is a leading enterprise-grade platform for data integration, governance, and management. With robust AI-powered automation, it supports large-scale data environments across cloud, hybrid, and on-prem deployments, making it a go-to for enterprise IT teams.

Key Features:

• Unified platform for integration, quality, cataloging, and governance

• AI/ML-assisted data discovery and pipeline generation

• Support for batch, real-time, and event-driven processing

• Native connectivity with cloud ecosystems like AWS, Azure, GCP

• Advanced security, compliance, and lineage tracking

• Scalable deployment across hybrid and multi-cloud environments

Strengths:

• Enterprise-ready with a wide range of capabilities

• Strong governance and metadata management

• Multi-cloud support and global scalability

• Recognized leader in Gartner Magic Quadrants

Limitations:

• High learning curve and initial setup effort

• Overkill for small teams or basic pipelines

• Pricing can be high and often requires custom quotes

Best For:

• Large enterprises managing complex data ecosystems

• Organizations needing strong governance and compliance

• Teams with robust IT and data engineering infrastructure

Why It’s a Strong ADF Alternative:
While Azure Data Factory offers solid pipeline orchestration within Azure, Informatica delivers an all-in-one data management suite with deep governance, metadata, and hybrid support. It’s especially appealing for enterprises that demand end-to-end data stewardship and platform extensibility.

Talend – Best for Low-Code Data Integration and Governance

Overview:
Talend is a data integration platform that unifies data quality, transformation, and governance within a low-code interface. Its modular architecture and flexibility make it a strong choice for organizations looking to modernize their data stack without relying solely on engineering resources.

Key Features:

• Low-code environment for integration, transformation, and quality

• Extensive library of connectors and prebuilt components

• Data profiling, cleansing, and enrichment tools

• Hybrid deployment (cloud, on-prem, multi-cloud)

• Strong support for governance, lineage, and compliance

• Seamless integration with Snowflake, Redshift, Azure, and more

Strengths:

• Accessible for both technical and non-technical users

• Strong data quality and stewardship features

• Flexible deployment across environments

• Scalable for both mid-sized and enterprise use

Limitations:

• Some advanced features still require coding

• Interface may feel dated compared to newer platforms

• Pricing can become complex depending on modules used

Best For:

• Teams seeking low-code tools for data management

• Organizations with mixed-skill teams

• Businesses prioritizing governance and data quality

Why It’s a Strong ADF Alternative:
Azure Data Factory is a robust orchestration tool, but lacks native data quality and stewardship features. Talend combines integration and governance in a single environment, making it ideal for companies focused on trustworthy, high-quality data pipelines without heavy engineering lift.

Amazon Web Services (AWS) – Best for Scalability and Flexibility

Overview:
Amazon Web Services offers a comprehensive suite of cloud tools for data integration, with AWS Glue serving as its fully managed ETL service. Built for scalability, AWS enables companies to ingest, clean, and transform massive datasets across various services in a highly customizable environment.

Key Features:

• AWS Glue for serverless ETL orchestration

• Native integration with Redshift, S3, Athena, and more

• Auto-scaling and pay-as-you-go pricing

• Built-in support for Python/Scala transformations

• Event-driven pipelines with Lambda and Step Functions

• Full ecosystem support across storage, compute, and analytics

Strengths:

• Highly scalable and elastic infrastructure

• Seamless integration across the AWS ecosystem

• Strong security, monitoring, and compliance frameworks

• Ideal for large-volume, enterprise-scale data pipelines

Limitations:

• Steep learning curve for new users

• Complex pricing structure across services

• Heavy reliance on AWS-specific tooling

Best For:

• Enterprises already operating within AWS

• Teams needing large-scale, event-driven pipelines

• Organizations prioritizing flexibility and customization

Why It’s a Strong ADF Alternative:
While Azure Data Factory works well within the Microsoft stack, AWS Glue provides superior flexibility and scalability for cloud-native workloads. For teams already invested in AWS, Glue delivers robust ETL capabilities that integrate deeply with broader services like S3, Redshift, and Lambda.

Qlik – Best for Advanced Analytics & Insights

Overview:
Qlik is a data integration and analytics platform that enables real-time insights across enterprise systems. With strong support for Change Data Capture (CDC) and AI-driven analytics, Qlik is ideal for turning raw data into strategic actions and visualizations.

Key Features:

• Real-time data integration and synchronization

• AI-powered analytics and data discovery

• Support for CDC and streaming data ingestion

• Interactive dashboards and data storytelling tools

• Integration with major BI, ML, and data lake platforms

• Cloud, hybrid, and on-prem deployments

Strengths:

• Combines integration and analytics in one platform

• Enables real-time decision-making and reporting

• Strong support for enterprise data sources

• Specialized in data literacy and user adoption

Limitations:

• Pricing can be high for advanced analytics packages

• May require training to fully utilize dashboard capabilities

• Less focused on traditional ETL orchestration

Best For:

• Organizations prioritizing analytics and BI

• Enterprises needing real-time, user-friendly insights

• Data-driven marketing, sales, and ops teams

Why It’s a Strong ADF Alternative:

Azure Data Factory focuses on pipeline orchestration and integration, but lacks robust BI features. Qlik offers a unified solution for both integration and analytics, ideal for teams that want to see and act on data without stitching together multiple platforms.

Segment – Best for Customer Data Infrastructure

Overview:
Segment, a Twilio company, is a leading customer data platform (CDP) that allows teams to collect, unify, and activate customer data across multiple tools and platforms. Its real-time pipelines make it especially powerful for marketing, product, and growth teams seeking unified customer insights.

Key Features:

• Real-time event tracking from web, mobile, and server apps

• 400+ out-of-the-box integrations with marketing and analytics tools

• Identity resolution and unified customer profiles

• GDPR and CCPA compliance features

• Support for warehouse destinations like BigQuery, Redshift, and Snowflake

• Built-in transformations and filtering

Strengths:

• Highly effective for unifying customer data across teams

• Easy to implement with developer-friendly SDKs

• Enables precise segmentation and personalization

• Real-time streaming architecture

Limitations:

• Primarily focused on customer data use cases

• Limited traditional ETL and database-centric transformations

• Costs can escalate with high event volumes

Best For:

• Marketing and growth teams

• Companies with high user interaction data

• Organizations needing a CDP rather than traditional ETL

Why It’s a Strong ADF Alternative:
Unlike Azure Data Factory, which is designed for general-purpose ETL, Segment is purpose-built for real-time customer data. It’s ideal for product and marketing teams that want to send unified behavioral data to multiple destinations without engineering bottlenecks.

Denodo – Best for Data Virtualization

Overview:
Denodo is a data virtualization platform that provides unified access to distributed data without the need for physical movement. It allows real-time data queries across cloud, on-prem, and hybrid sources, enabling agile analytics and governance without traditional ETL bottlenecks.

Key Features:

• Real-time data access via abstraction layer

• Query optimization and caching for performance

• Security, governance, and metadata management

• Support for structured, semi-structured, and unstructured data

• Integration with BI tools, APIs, and cloud data platforms

Strengths:

• Eliminates need for physical data replication

• Enables faster time-to-insight through live queries

• Strong metadata management and data governance

• Ideal for federated and hybrid environments

Limitations:

• Performance depends on source system availability

• May require expertise to model virtual layers effectively

• Less suited for heavy transformation or large-scale ETL

Best For:

• Enterprises with distributed data systems

• Organizations needing real-time access without centralization

• Teams focused on agility and data governance

Why It’s a Strong ADF Alternative:
While Azure Data Factory replicates and transforms data into centralized storage, Denodo takes a virtualization-first approach. It’s a better fit for enterprises that need real-time data federation across systems without building and maintaining full ETL pipelines.

IBM DataStage – Best for Legacy Enterprise Systems and Mainframe Integration

Overview:
IBM DataStage is an enterprise-grade ETL platform known for its reliability in large-scale, complex environments. It supports batch and real-time data integration and is especially valuable for organizations still running legacy systems or mainframes.

Key Features:

• Powerful ETL engine with parallel processing

• Native support for mainframes and legacy systems

• Integration with IBM Cloud Pak for Data

• Metadata-driven design and lineage tracking

• High-performance workload management

Strengths:

• Trusted in large-scale enterprise deployments

• Strong in regulated industries and government sectors

• Deep support for legacy technologies

• Flexible deployment options including cloud, hybrid, and on-prem

Limitations:

• Requires significant technical expertise

• Can be expensive for smaller teams or use cases

• Interface less modern compared to newer tools

Best For:

• Enterprises with legacy infrastructure

• Regulated industries (finance, healthcare, government)

• Organizations already in the IBM ecosystem

Why It’s a Strong ADF Alternative:
While Azure Data Factory suits modern, cloud-native workflows, IBM DataStage offers deeper integration with legacy systems and enterprise architectures. For companies reliant on mainframes or complex governance, it provides a mature, secure, and battle-tested alternative.

Adverity – Best for Marketing and Advertising Data Integration

Overview:
Adverity is a data integration and analytics platform built specifically for marketers and agencies. It centralizes data from ad networks, social platforms, and analytics tools to enable better campaign performance tracking and ROI measurement.

Key Features:

• 600+ connectors for marketing, social, and ad platforms

• Drag-and-drop data harmonization workflows

• Real-time and batch data collection

• Built-in dashboards and campaign performance insights

• Predictive analytics and anomaly detection

Strengths:

• Tailored for marketing teams and agencies

• Great visualization and campaign reporting tools

• No-code setup with automated data mapping

• Flexible for multi-client management

Limitations:

• Not ideal for broader enterprise data use cases

• Limited transformation complexity compared to ETL tools

• Pricing may be high for smaller teams

Best For:

• Marketing departments and ad agencies

• Teams focused on cross-channel performance analytics

• Organizations that want ready-to-use insights without complex setups

Why It’s a Strong ADF Alternative:
Azure Data Factory isn’t tailored for marketing-specific pipelines, while Adverity streamlines campaign data ingestion and visualization. It’s a smart alternative for non-technical teams that need rapid access to harmonized marketing data across platforms.

Oracle Data Integrator (ODI) – Best for Oracle Ecosystem Integration

Overview:
Oracle Data Integrator is a high-performance ELT platform optimized for Oracle databases and applications. It offers native integration with Oracle Cloud Infrastructure (OCI) and automates data workflows across hybrid and enterprise environments.

Key Features:

• ELT architecture that offloads transformations to the target DB

• Tight integration with Oracle Database, EBS, and OCI services

• Support for batch and real-time data movement

• Advanced security, logging, and auditing tools

• GUI-based design with reusable components

Strengths:

• Ideal for Oracle-heavy IT stacks

• High performance and scalability via ELT pushdown

• Strong enterprise support and SLAs

• Simplified automation of complex workflows

Limitations:

• Best suited for Oracle environments; limited outside of it

• Licensing can be complex and costly

• Requires skilled Oracle professionals for full use

Best For:

• Enterprises built on Oracle databases and apps

• IT teams with Oracle expertise

• Organizations standardizing on OCI

Why It’s a Strong ADF Alternative:
ADF is designed for Microsoft Azure, while ODI is purpose-built for Oracle. For businesses that have deeply invested in the Oracle ecosystem, ODI delivers more native optimization, tighter integration, and better performance with Oracle workloads.

Rivery – Best for Marketing Teams and SaaS Data Pipelines

Overview:
Rivery is a SaaS data integration platform that empowers marketing and business teams to build and manage data pipelines with ease. It offers a no-code interface for ELT workflows, bundled with prebuilt “data kits” for common use cases like ad reporting and CRM analytics.

Key Features:

• 200+ prebuilt connectors for SaaS tools and marketing platforms

• No-code pipeline builder and orchestration engine

• Built-in transformations and logic via Python or GUI

• Support for scheduling, alerts, and version control

• Fully managed cloud platform with usage-based pricing

Strengths:

• Built for business users, not just engineers

• Great for marketing, CRM, and SaaS reporting workflows

• Rapid deployment via prebuilt templates

• Strong collaboration features for data teams

Limitations:

• Not ideal for deep or complex transformations

• May lack flexibility for niche or custom data sources

• Limited support for on-prem environments

Best For:

• Marketing and RevOps teams

• SaaS-centric companies with modern data stacks

• Organizations needing fast, easy pipeline setup

Why It’s a Strong ADF Alternative:
Compared to Azure Data Factory, Rivery offers a faster, more intuitive experience for business-facing data teams. While ADF offers more customization, Rivery’s no-code model and SaaS-centric features make it ideal for self-service use cases.

Skyvia – Best for Simple ETL for Cloud Apps and Databases

Overview:
Skyvia is a cloud-based data integration platform designed for simplicity and ease of use. It enables users to connect and sync cloud apps and databases without writing code, making it ideal for small teams and basic integration needs.

Key Features:

• Support for ETL, ELT, reverse ETL, and data replication

• 80+ connectors for CRMs, databases, and file storage

• Visual workflow builder with no-code automation

• Secure cloud hosting with end-to-end encryption

• Built-in data backup and restore functionality

Strengths:

• Extremely beginner-friendly UI

• Fast setup for common integrations

• Affordable for small businesses and teams

• Includes cloud backup capabilities

Limitations:

• Limited support for advanced data workflows

• May not scale well for large enterprise use cases

• Lacks built-in transformation depth

Best For:

• Small teams or SMBs

• Non-technical users handling app-to-app sync

• Businesses needing cloud app integrations without complexity

Why It’s a Strong ADF Alternative:
Skyvia trades power for simplicity. Where ADF shines in flexibility and depth, Skyvia wins with fast setup and ease of use, making it a better fit for straightforward cloud integrations.

GoldenGate – Best for High-Volume Database Replication

Overview:
Oracle GoldenGate is a real-time data replication and streaming platform used in high-volume transactional environments. Known for its reliability and speed, it supports heterogeneous databases and mission-critical systems.

Key Features:

• Real-time change data capture (CDC) across platforms

• Bi-directional replication for high availability

• Cross-region and cross-database replication

• Integration with Oracle, MySQL, PostgreSQL, SQL Server, and more

• Optimized for low-latency streaming

Strengths:

• Ideal for mission-critical systems and DR scenarios

• Minimal impact on source systems

• Highly performant for transactional replication

• Trusted in finance, telecom, and enterprise IT

Limitations:

• Complex configuration and setup

• Primarily designed for database pros

• Costly for smaller projects or teams

Best For:

• Enterprises with large transactional systems

• Disaster recovery and zero-downtime migrations

• Teams needing real-time CDC replication

Why It’s a Strong ADF Alternative:
While ADF is better suited for orchestration and transformation, GoldenGate dominates in high-throughput replication and CDC. For real-time database mirroring at scale, GoldenGate is purpose-built and production-proven.

CData Software – Best for API and SaaS Connectivity via ODBC/JDBC

Overview:
CData Software provides drivers and connectivity solutions that enable seamless integration between applications, databases, and APIs. It offers standardized ODBC, JDBC, and ADO.NET drivers for hundreds of SaaS and cloud platforms.

Key Features:

• 250+ ODBC/JDBC/ADO.NET drivers for real-time access

• Support for BI tools like Tableau, Power BI, and Excel

• No ETL needed – query data live through standard interfaces

• Secure and compliant architecture

• Connectors for REST, SOAP, GraphQL APIs

Strengths:

• Extremely wide connector coverage

• Plug-and-play for BI and integration tools

• Great for reporting without data movement

• Developer-friendly APIs and SDKs

Limitations:

• Not a full ETL or pipeline orchestration platform

• Live querying can impact source performance

• Requires technical skills to fully leverage

Best For:

• Teams needing real-time access to SaaS data

• Developers and analysts working with BI tools

• Organizations with hybrid or legacy tech stacks

Why It’s a Strong ADF Alternative:
Unlike ADF, which requires setting up pipelines and copying data, CData allows live, driver-based access to hundreds of sources. It’s a strong alternative for scenarios where low-latency connectivity trumps orchestration complexity.

Debezium – Best for Change Data Capture (CDC) with Kafka

Overview:
Debezium is an open-source platform for change data capture (CDC), enabling real-time replication of database changes into Apache Kafka. It’s popular with engineering teams building streaming architectures and event-driven microservices.

Key Features:

• CDC for MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, and more

• Integrates with Apache Kafka, Kafka Connect, and Redpanda

• Delivers low-latency, real-time change events

• Tracks inserts, updates, and deletes

• Supports exactly-once delivery semantics with Kafka

Strengths:

• Ideal for building streaming data pipelines

• Fully open-source and community-driven

• High performance with low replication lag

• Great integration with modern event-based systems

Limitations:

• Requires Kafka infrastructure and expertise

• Not suitable for traditional batch ETL tasks

• Complex to manage and monitor at scale

Best For:

• Engineering teams using Kafka

• Real-time analytics and event streaming

• Organizations adopting microservices or data mesh

Why It’s a Strong ADF Alternative:
ADF is built around batch workflows, while Debezium enables near-instant CDC for real-time apps. For developers building responsive, stream-first architectures, Debezium provides capabilities ADF can’t match.

CloverDX – Best for Complex Data Pipelines for Developers

Overview:
CloverDX is a developer-centric data integration platform that gives full control over pipeline logic and data transformations. It’s suited for custom ETL workflows, data prep, and automation across industries like finance, healthcare, and government.

Key Features:

• Graphical and code-based pipeline development

• Fine-grained control over data flows and logic

• On-prem, cloud, and hybrid deployment support

• Version control, testing, and DevOps integration

• Data quality, validation, and error-handling frameworks

Strengths:

• Combines low-code and full-code development

• Great for custom data prep and complex logic

• Flexible integration with external systems and APIs

• Strong performance for high-volume jobs

Limitations:

• Learning curve for non-developers

• Overhead for simple use cases

• Requires dedicated infrastructure or cloud setup

Best For:

• Developers building custom pipelines

• Highly regulated or logic-heavy workflows

• Data teams wanting full control over execution

Why It’s a Strong ADF Alternative:
ADF suits standard workflows well, but CloverDX shines in customization and control. For complex transformations, validation, and DevOps-driven data workflows, CloverDX is a developer’s powerhouse.

Keboola – Best for Modular, Low-Code Data Stack

Overview:
Keboola is a cloud-native data platform that combines data ingestion, transformation, orchestration, and storage in a modular, low-code interface. It empowers data teams to build and automate pipelines without managing infrastructure.

Key Features:

• Prebuilt components for ingestion, transformation, and outputs

• Code and no-code blocks with Git integration

• Support for SQL, Python, R, and REST APIs

• Native data catalog, lineage, and governance features

• Built-in scheduling, monitoring, and notifications

Strengths:

• Easy to deploy and scale

• Mix of low-code tools and full scripting options

• Transparent pricing with usage-based model

• Collaborative and auditable pipeline design

Limitations:

• Smaller ecosystem compared to major players

• UI can feel technical for non-data users

• Advanced modeling may require scripting

Best For:

• Agile data teams needing fast iteration

• Mid-market companies building modular data stacks

• Organizations favoring cloud-native platforms

Why It’s a Strong ADF Alternative:
Keboola offers a flexible, cloud-native alternative to Azure Data Factory’s structured pipelines. Its modular approach and developer-friendly design make it great for building modern, iterative data workflows without vendor lock-in.

Meltano – Best for Open-Source ELT with CI/CD Integration

Overview:
Meltano is an open-source ELT platform built for developers who want to manage their data stack like software. With Git-based workflows and tight integration with Singer taps, it offers full CI/CD for data pipelines.

Key Features:

• Open-source and extensible with Singer ecosystem

• Local development with Git version control

• CI/CD-friendly with pipeline-as-code philosophy

• Plugin-based architecture (extractors, loaders, transformers)

• Supports orchestration via Airflow and Dagster

Strengths:

• Built for engineering teams and versioned pipelines

• Strong open-source community and plugin flexibility

• Ideal for testing, staging, and deploying ELT code

• Portable, lightweight, and infrastructure-agnostic

Limitations:

• Requires DevOps and Python knowledge

• Limited out-of-the-box GUI tools

• Still maturing compared to commercial tools

Best For:

• Data engineers and developer-led teams

• Open-source-first organizations

• Teams using Git-based development workflows

Why It’s a Strong ADF Alternative:
While ADF hides complexity behind a GUI, Meltano exposes the pipeline as code—perfect for teams that treat data workflows like software. It’s a compelling choice for engineering-heavy teams seeking transparency, versioning, and automation.

Panoply – Best for Quick-Start Data Warehousing with Built-In Connectors

Overview:
Panoply is an all-in-one cloud data platform that combines data warehousing and automated ELT pipelines. Designed for ease of use, it allows users to connect data sources and start querying within minutes—no coding or data engineering required.

Key Features:

• Built-in ELT with 100+ native connectors

• Fully managed cloud data warehouse

• Seamless integration with BI tools like Tableau, Power BI, and Looker

• Automated schema and table creation

• SQL-based querying and transformation

• Scalable storage and performance on AWS infrastructure

Strengths:

• Extremely easy to set up and manage

• Ideal for teams without dedicated data engineers

• Combines storage and integration in a single platform

• Transparent, usage-based pricing

Limitations:

• Less flexibility for complex transformations or orchestration

• Limited control over underlying infrastructure

• Not suited for large enterprises with complex data workflows

Best For:

• Startups and SMBs needing fast analytics setup

• Teams with minimal technical resources

• Companies looking for bundled data warehouse + ELT

Why It’s a Strong ADF Alternative:
While Azure Data Factory provides pipeline flexibility for enterprise environments, Panoply simplifies the process by bundling ELT and data warehousing in one platform. It’s a faster, easier alternative for small to midsize teams that want to centralize and query data without engineering complexity.

Key Considerations When Selecting a Fivetran Alternative

When choosing a Fivetran alternative you need to consider:

• The level of customization required. Platforms like Airbyte, with its open-source model, allows full customization to fit your business needs, making it suitable for many organizations.

• Real-time data processing.

• Continuous integration capabilities which is crucial for businesses that need immediate data synchronization.

The existing connector library is another important factor. A platform like Airbyte, with an extensive connector library, allows easy integration across many data sources, provides flexibility and reduces integration time. Pricing models vary greatly among alternatives. Talend’s pricing, based on monthly active rows usage, can be cost effective for businesses with lower data volumes. Stitch’s pricing model, based on the number of rows processed, can be expensive as data volumes increase.

Scalability and ability to handle large data volumes is also important. Many Fivetran alternatives like Hevo Data which supports real-time data integration from over 150 sources, offers scalable solutions that can grow with your business needs. Evaluating the platform’s support for cloud-native architectures ensures your data integration solution is robust and future-proof.

For businesses with complex data requirements, a solution with comprehensive data management features and a robust data integration platform with data transformation capabilities is crucial. Platforms like Informatica and Talend excels in providing features that handle complex data workflows and ensures data quality, while also managing complex data integration, data ingestion, data flows, data operations, governance, fully managed etl service, data pipeline and data integration tool.

Vendor connectivity options is also important to ensure the chosen platform can integrate with your existing tech stack and meet your specific data integration needs.

In summary, when choosing a Fivetran alternative you need to consider:

• Customization options

• Pricing models

• Scalability

• Existing connector library

• Complex data requirements

Evaluating these will help you choose the best solution that fits your business needs and integrates data and data integrations seamlessly.

Summary

In 2025, the data integration landscape is more diverse than ever with many solutions for specific business needs. From Factory Thread’s manufacturing data integration to Airbyte’s open-source flexibility, each tool has its strengths. Matillion excels in cloud data transformations, Stitch is cost effective and user friendly for small to medium businesses. Hevo Data’s real-time data replication and Informatica’s comprehensive data management features adds to the options available to organizations.

Talend’s low-code and AWS’s scalability and flexibility caters to different technical requirements so businesses can find a solution that fits their needs. Qlik’s robust data analytics and insights is valuable for organizations that want to turn their data into actionable insights. By understanding the unique features and strengths of each platform, businesses can make informed decisions on which data integration tool to use.

Ultimately the right choice of Fivetran alternative depends on your organization’s specific needs including customization, real-time processing, scalability and comprehensive data management. By considering these factors carefully, you can choose a platform that meets your current needs and scales with your business as it grows. Choose the right data integration tool today and unlock the full potential of your data for better decision making and business outcomes.

FAQs

What is the best Fivetran alternative for manufacturing data integration?

Factory Thread is the best alternative for manufacturing data integration, with pre-built connectors for key systems and centralized data governance.

Which Fivetran alternative is best for real-time data replication?

Hevo Data is the best alternative for real-time data replication, with seamless integration and transformation and robust quality checks.

Why is Airbyte a good open-source solution?

Airbyte is a strong open-source solution because of its 600+ connectors, flexible deployment options and real-time data integration. This combination makes it highly adaptable and efficient for many data integration needs.

How does Talend support low-code?

Talend supports low-code by providing a user friendly platform that simplifies data integration tasks so non-technical users can manage multiple data sources. This makes data handling more accessible and efficient.

What to consider when choosing a Fivetran alternative?

When choosing a Fivetran alternative consider customization options, pricing models, scalability, connector library and complex data requirements.