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Tools/MindsDB vs Deepnote
MindsDB

MindsDB

ai-analytics
vs
Deepnote

Deepnote

ai-analytics

MindsDB vs Deepnote — Comparison

Overview
What each tool does and who it's for

MindsDB

MindsDB enables humans, AI agents, and applications to get highly accurate answers across disparate data sources and types.

MindsDB began with a vision to make artificial intelligence not just powerful, but accessible. In 2018, co-founders Jorge Torres and Adam Carrigan released the initial MindsDB code to the public, inspired by the concept of self-evolving, human-aligned AI from Iain M. Banks’ Culture series. Their ambition was to build "Minds"—intelligent search and predictive analytics systems that empower people to solve complex data challenges, without requiring them to become machine learning experts. What started as an open-source passion project in Berkeley, CA has grown into the world’s most popular open-source platform for AI analytics and data workflow automation. Today, MindsDB is trusted by tens of thousands of developers and data teams to bring machine learning directly into their data infrastructure—without moving their data or hiring large ML teams. We are proud to be backed by $50M+ in funding from world-class investors like Benchmark, Mayfield, Y Combinator, and NVIDIA. Their breakthrough was deceptively simple but incredibly powerful: instead of forcing users to adopt new tools and workflows, MindsDB would bring machine learning directly to where the data already lives—inside databases. By integrating AI capabilities with familiar tools like SQL and platforms like MySQL, PostgreSQL, MongoDB, and Snowflake, MindsDB allowed developers to build and deploy ML models natively within their existing data environments. No data exports, no complex infrastructure—just AI, embedded. This was a paradigm shift. MindsDB made it possible for teams to embed machine learning predictions inside their applications with just a few lines of SQL. MindsDB is fortunate to be backed by some of the most respected names in venture capital and technology: These partnerships have not only validated our vision but also helped us scale the business, expand our ecosystem, and bring our technology to enterprise customers worldwide. MindsDB’s leadership team brings deep expertise in AI, data infrastructure, and open-source innovation, united by a mission to empower enterprises with intelligent, accessible data solutions that break bottlenecks and fuel impactful, secure, and scalable AI-driven insights. MindsDB is an international company with team members based in the US, UK, New Zealand, South Africa, Canada, all the way to the UAE. Interested in joining our mission? Learn more about life at MindsDB and check out our open positions. Power your AI strategy with the leading AI data solution. © 2026 All rights reserved by MindsDB. Power your AI strategy with the leading AI data solution. © 2026 All rights reserved by MindsDB. Power your AI strategy with the leading AI data solution. © 2026 All rights reserved by MindsDB.

Deepnote

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

Describe what you want to do and Deepnote will automagically query, analyze, and interpret data for you. No coding skills necessary. Connect to your data in seconds with built-in integrations for the most popular warehouses, databases, and lakehouses. Used by the next generation of data analysts and data scientists. Used by the next generation of data analysts and data scientists. A free version for aspiring data analysts and scientists. For data teams needing a powerful platform for seamless collaboration. For organizations with greater machine and security needs. Deepnote is the AI workspace for data professionals, designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote is built to give anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, and write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models.

Key Metrics
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Avg Rating
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0
Mentions (30d)
0
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GitHub Stars
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GitHub Forks
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npm Downloads/wk
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PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

MindsDB

0% positive100% neutral0% negative

Deepnote

0% positive100% neutral0% negative
Pricing

MindsDB

subscription + tieredFree tier

Pricing found: $0/month, $0/month, $35/month, $35/month

Deepnote

subscription + freemium + tieredFree tier

Pricing found: $39, $280, $50, $112/month

Use Cases
When to use each tool

Deepnote (1)

Maximilian Strauss
Features

Only in MindsDB (8)

Slow Insights: When Legacy BI Fails Real-Time Needs5 days5 minutesSecurely analyze your data regardless of where it resides.The AI Business Insights SolutionFrom startup to scale, we've got a plan to fit your AI analytics needs.LearnStart Building with MindsDB Today

Only in Deepnote (10)

vs Jupytervs Google Colabvs Hyperqueryvs Databricksvs AWS SageMakervs Vertex AIThe notebook manifestoData analyticsData engineeringMachine learning
Developer Ecosystem
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GitHub Repos
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—
GitHub Followers
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7
npm Packages
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7
HuggingFace Models
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—
SO Reputation
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Product Screenshots

MindsDB

MindsDB screenshot 1

Deepnote

Deepnote screenshot 1Deepnote screenshot 2Deepnote screenshot 3Deepnote screenshot 4
Company Intel
information technology & services
Industry
information technology & services
45
Employees
23
$77.9M
Funding
$23.9M
Seed
Stage
Series A
Supported Languages & Categories

MindsDB

AI/MLDevOpsAnalyticsDeveloper ToolsData

Deepnote

AI/MLFinTechDevOpsSecurityAnalytics
View MindsDB Profile View Deepnote Profile