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Tools/Sigma vs Deepnote
Sigma

Sigma

ai-analytics
vs
Deepnote

Deepnote

ai-analytics

Sigma vs Deepnote — Comparison

Overview
What each tool does and who it's for

Sigma

Sigma is the AI analytics workspace for warehouse data. Build governed dashboards, spreadsheets, and workflows with live query, writeback, and collabo

I notice that the reviews section is empty and the social mentions only show repeated YouTube titles saying "Sigma AI" without any actual content or user feedback. Without substantive user reviews, ratings, comments, or detailed social media discussions, I cannot provide a meaningful summary of what users think about Sigma AI. To give you an accurate assessment, I would need access to actual user testimonials, review content, ratings, or detailed social media posts that express users' experiences, opinions about features, pricing, or overall satisfaction with the tool.

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 Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind.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)
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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

Sigma

0% positive100% neutral0% negative

Deepnote

0% positive100% neutral0% negative
Pricing

Sigma

tiered

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 Sigma (10)

Workbooks generate warehouse-optimized SQLYou can attribute spend and tune from real usage.Drive access from the warehouse, Sigma, or bothYou pay for queries. Not curiosity.Write back to the warehouse to annotate, adjust, or contribute data.Precompute expensive logic when it makes sense.Reuse metrics you already define.Days to HoursDays to minutesSigma's Query Engine (caching tiers + Alpha Query)

Only in Deepnote (10)

vs Jupytervs Google Colabvs Hyperqueryvs Databricksvs AWS SageMakervs Vertex AIThe notebook manifestoData analyticsData engineeringMachine learning
Product Screenshots

Sigma

Sigma screenshot 1Sigma screenshot 2Sigma screenshot 3Sigma screenshot 4

Deepnote

Deepnote screenshot 1Deepnote screenshot 2Deepnote screenshot 3Deepnote screenshot 4
Company Intel
information technology & services
Industry
information technology & services
540
Employees
23
$566.3M
Funding
$23.9M
Venture (Round not Specified)
Stage
Series A
Supported Languages & Categories

Sigma

AI/MLFinTechSecurityAnalyticsSaaS

Deepnote

AI/MLFinTechDevOpsSecurityAnalytics
View Sigma Profile View Deepnote Profile