
ThoughtSpot
Microsoft Power BI
Supaboard
Sisense
InsightBase
GoodData.Ai
Inzata
AI-powered Embedded analytics platform for your customers

Which is more popular?
Based on our record, Metabase seems to be more popular. It has been mentioned 17 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | usedatabrain.com | metabase.com |
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| Platforms | — | |
| Company | Startup from the United States · 10 - 19 employees · 2023 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


DataBrain helps product teams craft and share beautiful dashboards with customers, vendors and partners using natural language. DataBrain provides a robust SDK that allows for extreme customizability to match your design and charting system, saving engineering and product teams hours of time and...
No description of Metabase yet.
What each product offers, as listed by its team.


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Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
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Walkthroughs and reviews on video.
DataBrain - AI Analyst Bot - For All Your Data Needs
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What is Metabase?
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DataBrain and Metabase.
DataBrain's answer
DataBrain's pricing model is unique and generally more flexible compared to many competitors:
Module-based pricing: Instead of charging per seat or user, DataBrain prices based on the modules you choose to use. This allows you to pay only for the features you need
Unlimited users: There's no additional charge based on the number of users or clients viewing the dashboards. This can be particularly cost-effective for companies with a large user base or those expecting rapid growth
Flexible plans: DataBrain offers three main plans - Growth, Pro, and Enterprise. Each plan includes different features, and you can mix and match modules to create a custom plan that fits your specific needs
No usage-based pricing: Unlike some competitors who charge based on the number of views or data volume, DataBrain doesn't increase costs as your usage grows
Cost-effective compared to traditional BI tools
DataBrain's answer
DataBrain stands out as an AI-powered analytics platform designed specifically for SaaS companies, offering several unique features:
Embedded analytics: DataBrain provides a modular SDK that allows easy integration of analytics into existing applications, enabling companies to go live with customized dashboards in as little as 7-10 days
AI-driven insights: The platform leverages AI and natural language processing to generate automated insights and allow users to ask questions in plain language
Flexibility and customization: DataBrain offers a "Swiss Army knife" approach, connecting to multiple data sources and providing extensive customization options for charts, dashboards, and user interfaces
Multi-tenancy support: Built from the ground up to handle multi-tenant SaaS environments, DataBrain simplifies data management for companies serving multiple clients
White-labeling: The platform can be fully white-labeled, allowing companies to maintain their branding and user experience
Enterprise-grade security: DataBrain offers robust security features, including role-based access control and the option for hosted solutions to meet compliance requirements
Rapid deployment: The platform is designed for quick implementation, reducing the time and resources typically required for building analytics solutions in-house
Support for both technical and non-technical users: DataBrain caters to data analysts with SQL and Python scripting capabilities, while also providing user-friendly interfaces for business users
By combining these features, DataBrain aims to provide a comprehensive, modern solution for SaaS companies looking to enhance their analytics capabilities without the complexities of traditional BI tools or the limitations of building in-house solutions.
Share your experience with using DataBrain and Metabase. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of DataBrain yet. Be the first one to post
Supaboard, Sigma, Metabase Cloud, and Apache Superset Cloud combine drag‑and‑drop dashboard builders with usage‑based or flexible pricing and elastic cloud scaling. These BI platforms are ideal for teams handling high...
Metabase makes it really simple to visualize data and build dashboards without needing deep technical knowledge. Great for teams that need fast reporting.
Draxlr is an intuitive Metabase alternative, blending a robust no-code query builder with AI-powered SQL generation for both non-technical and advanced users. It seamlessly integrates with various databases and...
Recommendations tracked on public social media and blogs since March 2021.


Tracking DataBrain since Sep 2024.
Metabase | https://metabase.com/ | Remote (Global) | Full-time | Applied AI Engineers, Engineering Managers, Frontend and Backend Engineers Metabase is an open source (https://github.com/metabase/metabase) business intelligence software... - Source: Hacker News / over 1 year ago
Metabase | https://metabase.com | REMOTE | Full-time | Backend Engineers, Frontend Engineers, and Engineering Managers Metabase is open source analytics software that lets anyone in your company rummage around in the databases you have.... - Source: Hacker News / about 2 years ago
Reporting - Metabase A free, open-source business intelligence tool that helps you create custom reports and dashboards to track your business metrics and make data-driven decisions. - Source: dev.to / about 2 years ago
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