Looking for Sisense alternatives?
This article reviews the leading Sisense alternatives of 2025 that could be a better fit for your business. Compare their features and strengths to find the one that suits your analytics needs.
Sisense is a full-stack analytics platform designed to simplify complex data analysis and visualization. It integrates data modeling, visualization, and embedded analytics into a single solution, allowing businesses to create customized dashboards and reports. Sisense leverages AI to provide insights and anomaly detection, making it suitable for organizations seeking scalable and extensible analytics solutions.
Here are the top Sisense alternatives for 2025, each suited to different business needs and analytics requirements:
Best for Manufacturing Data Management: Factory Thread
Best for Microsoft Ecosystem Integration: Microsoft Power BI
Best for Self-Service Analytics: ThoughtSpot
Best for Advanced Data Visualization: Tableau
Best for Data Modeling and Exploration: Looker
Best for Associative Data Exploration: Qlik Sense
Best for Collaborative BI: Yellowfin
Best for Quick Setup and Non-Technical Users: Domo
Best for Hybrid Notebook-Dashboard Workflow: Mode 2025
Best for Customizable Embedded Analytics: Embeddable
Factory Thread is a data virtualization and analytics platform purpose-built for manufacturers. It connects and unifies data from ERP, MES, CRM, and quality systems to deliver real-time insights and improve operational decision-making across the shop floor and enterprise.
Sisense offers strong embedded analytics capabilities but lacks native support for manufacturing-specific systems and workflows. Factory Thread addresses this with pre-built connectors and real-time integration for industrial systems. It empowers manufacturing teams with centralized data governance, AI-powered querying, and a low-code interface tailored to operational needs—without requiring heavy data engineering.
Factory Thread is best suited for manufacturing teams that need to:
Monitor plant-level performance and quality in real time
Connect systems like ERP, MES, CRM, and IoT into a unified data model
Reduce data silos and manual reporting
Enable non-technical teams to generate insights with AI and self-service tools
Simplify and speed up the deployment of analytics solutions
|
Feature / Aspect |
Factory Thread |
Sisense |
|---|---|---|
|
Primary Use Case |
Manufacturing data integration and analytics |
Embedded analytics and business intelligence |
|
Industry Focus |
Manufacturing-specific |
Industry-agnostic |
|
Deployment Options |
Cloud, on-prem, edge (offline support included) |
Cloud, on-prem, hybrid |
|
Data Sources |
Native support for ERP, MES, CRM, IoT |
Broad data source connectivity |
|
Analytics Approach |
Real-time dashboards, anomaly detection |
Visual dashboards, embedded analytics |
|
AI Features |
AI-powered querying and workflow suggestions |
Augmented analytics with AI-driven insights |
|
Ease of Use |
High – for technical and non-technical users |
Moderate – requires BI expertise for full setup |
|
Best Fit |
Manufacturers looking for real-time operational insight |
Teams needing customizable embedded analytics |
|
Pricing |
Not publicly listed |
Custom pricing based on users and features |
Summary:
Factory Thread offers real-time manufacturing data management and built-in industrial integrations, ideal for operational teams.
Sisense is better suited for businesses seeking general-purpose embedded analytics for web or application interfaces.
Price: Free (limited), $9.99/user/month (Professional) Specifications:
Free version storage: 1 GB
Professional version storage: 10 GB
Pros:
Deep integration with Microsoft products
User-friendly interface
Great data visualization
Cons:
Limited refresh cycle on free version
Data prep tools divided between desktop and webMicrosoft Power BI stands out for its seamless integration with the Microsoft ecosystem, perfect for businesses already using Microsoft products. With its analytics and data visualization capabilities, Power BI has a user-friendly interface that boosts productivity and collaboration.
A key feature is the introduction of Direct Lake data models, allowing users to create semantic models directly from SQL queries and mirrored databases for rapid semi-structured queries. Coupled with the new navigation menu in Power BI’s Teams app, it makes finding content and collaboration easier. The main features of this update improves user experience.
The free version has some limitations but the Professional version has more storage and faster data refresh cycles, making it a solid BI platform.
Rating: 4.5/5
Price: Capacity-based, unlimited users
Pros:
Fast data retrieval
Non-technical user friendly
AI-powered insights
Cons:
Limited data modeling
Can be expensive without caching
ThoughtSpot revolutionizes self-service analytics by allowing users to ask questions in natural language and get answers instantly, making data analysis easy for non-technical users. Its search-driven analytics interface and AI capabilities makes it different from other BI tools, fast data retrieval and unlimited users through interactive reporting.
The automated insights feature helps users detect unexpected changes in key performance indicators, making it easier to monitor key metrics. However ThoughtSpot’s limited data modeling and embedding options might be a drawback for some users. Despite these limitations, its ease of use and ability to analyze data and generate quick insights, including anomaly detection, makes it a good tool for many organizations.
Rating: 4.0/5
Price: $70/user/month, $840/user/year
Specifications:
Cloud and on-premises
Pros:
Real time analytics
Collaboration
Cons:
Initial learning curve
Feels clunky and outdated
Tableau is famous for its advanced data visualization, a top choice for data analysts and business intelligence professionals. With its intuitive drag-and-drop interface and powerful data visualization tools, users can create detailed data visualizations and dashboards. The ‘Show Me’ feature makes various visualization types available.In 2025, Tableau introduced an AI-driven insights feature called Pulse which improves its analytics capabilities. While the initial learning curve is steep, once mastered Tableau offers unmatched interactive visuals and real-time data analysis. However some users have noted that the interface feels clunky and lacks modern user experience. Despite that Tableau is a powerful tool for those who want to dive deep into data visualization. For those interested in exploring Tableau alternatives for data visualization, there are other top tools to consider as well.
Rating: 4.5/5
Price: Custom quotes
Pros:
LookML data modeling
Tight Google Cloud integration
Fast data exploration
Cons:
Higher pricing
Steep learning curve
Steeper learning curve
Looker, part of Google Cloud, is best for data modeling and exploration, perfect for teams that need advanced insights. The platform’s LookML modeling provides governed metrics and seamless integration with various cloud databases, real-time data access. This provides a robust and flexible data exploration experience using google cloud services and google cloud integration.
However Looker’s pricing is higher than traditional BI tools and comes with a steeper learning curve. Despite that the tool’s strength in data modeling and exploration and tight integration with Google Cloud makes it a valuable asset for organizations that want to leverage their data for deeper insights.
Rating: Not provided
Price: Not specified
Pros:
Associative data exploration
Advanced analytics
AutoML update
Cons:
Not specified
Qlik Sense excels in associative data exploration, users can find data relationships that might not be obvious with other BI tools. The platform’s associative model enhances ad-hoc analysis and is powered by in-memory engine, data querying is fast and efficient. Moreover the 2025 update introduces AutoML, further enhances its analytical capabilities.
While cons are not specified, Qlik Sense’s advanced analytics and robust data integration platform makes it a strong contender for businesses that want to dig deep into their data. Its intuitive interface and powerful data storytelling features adds to its appeal, making it a top choice for associative data exploration.
Rating: Not provided
Price: Custom pricing
Pros:
Automated insights
Data storytelling
Collaboration tools
Cons:
Embedding flexibility
Developer customizationYellowfin is best for collaborative business intelligence, suitable for multiple user groups. Its key features are:
Automated insights
Data storytelling, helps users create a narrative around their data
Collaboration tools to make it easier for teams to work together and share insights.
However embedding flexibility and developer customization might be a limitation for technical users with limited technical expertise. Despite that Yellowfin’s focus on collaboration and automated insights makes it a valuable tool for organizations looking to boost their BI capabilities.
Rating: Not provided
Price: Custom
Specifications:
ETL, Data Visualization, Cloud Storage
Pros:
Easy setup
Pre-built connectors
User-friendly interface
Cons:
Limited visualizations
High costs
Domo is for non-technical users, easy setup and many pre-built connectors to simplify data integration from various sources. User-friendly interface and intuitive visualizations for users without technical background. Real-time data streaming for timely decision making.
However Domo’s fewer visualizations and high costs can be a concern for larger deployments. Despite that quick setup and ease of use makes it perfect for small to medium-sized businesses to accelerate large scale data processing and data-driven decision making.
Rating: 3.5/5
Price: Not specified
Pros:
SQL, Python, R notebooks
Collaborative platform
Drag-and-drop interface
Cons:
Not specified
Mode 2025 combines SQL, Python and R notebooks to enhance data analysis. Visual Explorer allows users to create visualizations through drag-and-drop interface, simplifies data visualization.
As a collaborative data analytics platform Mode encourages teamwork and shared insights, perfect for organizations that need integrated approach to data analysis. While cons are not specified, Mode’s notebook and dashboard workflow makes it a versatile tool for data teams.
Rating: Not provided
Price: $49/month, $499/year
Pros:
User-friendly interface
Highly customizable
Analytics tracking
Seamless integration with multiple platforms
Cons:
Not specified
Embeddable enhances user engagement on websites and applications through:* Customizable and interactive elements
Architecture that supports full customization at code level, allows for tailored user experience
Ability to import custom charting libraries to increase visual flexibility
The no-code dashboard builder makes it easy for users to create and modify custom dashboards without technical knowledge. Dashboards load quickly due to configurable caching for a smooth user experience.
With predictable pricing and full customization options, Embeddable is perfect for organizations looking for a modular, no-code embedded analytics solution with quick deployment.
Rating: 4.5/5
Choosing the right Sisense alternative in 2025 requires considering several factors. First, look at the data integration capabilities of each tool. For example, Microsoft Power BI has seamless integration with Microsoft 365, makes collaboration and data access easier. Looker has seamless integration with multiple cloud databases, real-time data access and data modeling accuracy.
Ease of use is another key factor. Tools like Domo, with user-friendly interface and quick setup, is for non-technical users. Yellowfin integrates machine learning to enhance data insights and decision making, simplifies analytics for advanced users.
Lastly, consider the pricing and customization options. Embeddable has full control over UI/UX and performance, flexibility based on the organization’s budget. By evaluating these, you can choose the BI tool that fits your business needs and goals, for a smooth transition from Sisense.
In summary, choosing the right Sisense alternative can boost your data analytics. Each tool has its strengths catering to different business needs, from Factory Thread’s manufacturing data management to Embeddable’s customizable embedded analytics. Understanding these strengths and aligning with your organization’s requirements is key to making a decision.
Whether you need seamless integration, ease of use or advanced data modeling, the alternatives listed provide robust solutions to elevate your analytics in 2025. By using the right tool you can turn data into actionable insights, better decision making and business performance. Take the time to explore these options and find the right fit for your analytics journey.
If you’re looking for Sisense alternative for manufacturing data management, Factory Thread is a good option, real-time insights and centralized governance. It’s a solid one that can really simplify your data.
If you want seamless integration with Microsoft products, Power BI is the way to go. Collaboration and data access within the Microsoft ecosystem is super easy!
ThoughtSpot is good for self-service analytics because of its search-driven interface and AI features, makes it super user-friendly, anyone can find data and get insights without technical skills. It’s all about empowering users to make informed decisions easily.
Tableau is best for advanced data visualization because of its powerful features, real-time data analysis and great collaboration. Top pick for data analysts to make sense of complex data easily.
Embeddable increases user engagement by providing customizable and interactive elements that developers can embed in websites and applications.