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Tools/Lightdash vs Deepnote
Lightdash

Lightdash

ai-analytics
vs
Deepnote

Deepnote

ai-analytics

Lightdash vs Deepnote — Comparison

Overview
What each tool does and who it's for

Lightdash

Lightdash is the AI-first, open-source BI platform for modern data teams. Connect to dbt, define metrics once, and get instant, trustworthy insights.

I notice that while you've mentioned social media content about "Lightdash AI" from YouTube, the actual review content and detailed social mentions weren't included in your message. Without access to the specific user feedback, review text, or detailed social media discussions, I cannot provide an accurate summary of what users think about Lightdash's strengths, complaints, pricing, or overall reputation. Could you please share the actual review content and social media post details so I can give you a proper analysis of user sentiment?

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 Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind.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
—
Avg Rating
—
0
Mentions (30d)
0
—
GitHub Stars
—
—
GitHub Forks
—
—
npm Downloads/wk
—
—
PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Lightdash

0% positive100% neutral0% negative

Deepnote

0% positive100% neutral0% negative
Pricing

Lightdash

usage-based + subscription + contract + per-seat + tieredFree tier

Pricing found: $2400 / month, $600, $0.05/load, $790/month, $490

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 Deepnote (10)

vs Jupytervs Google Colabvs Hyperqueryvs Databricksvs AWS SageMakervs Vertex AIThe notebook manifestoData analyticsData engineeringMachine learning
Developer Ecosystem
—
GitHub Repos
—
—
GitHub Followers
—
20
npm Packages
—
—
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Lightdash

Lightdash screenshot 1

Deepnote

Deepnote screenshot 1Deepnote screenshot 2Deepnote screenshot 3Deepnote screenshot 4
Company Intel
information technology & services
Industry
information technology & services
28
Employees
23
$21.8M
Funding
$23.9M
Series A
Stage
Series A
Supported Languages & Categories

Lightdash

DevOpsSecurityAnalyticsDeveloper Tools

Deepnote

AI/MLFinTechDevOpsSecurityAnalytics
View Lightdash Profile View Deepnote Profile