DataBlips

DataBlips

AI data analyst for databases and files

yashbmokashi
@yashbmokashi
Last updated on Aug 12, 2026
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11 PeerPush
🥉
Ranked #3
Product of the Day
PeerPush

Details

Pricing
Paid from $2
Platforms
Web
Alternative To
Julius.ai

Discovery signals

How AI and people discover DataBlips on PeerPush

Community award Aug 12, 2026Community awardA Product of the Day, Week, or Month award this product won from the community.
#3 Product of the Day

Aug 12, 2026

AI-readyAI-readyWhether this product carries the structured data - use cases, audiences, platforms - that lets AI match it to the right questions.
Structured

Described for AI to match

Described for AI with use cases, audiences, platforms and pricing so assistants can match it to the right questions.
Discoverable nowDiscoverable nowWhether this product is queryable through the PeerPush API and MCP right now.
Live

Via the PeerPush API and MCP

Queryable through the PeerPush API, MCP and semantic search from day one.

About DataBlips

DataBlips is an AI data analyst that turns questions about your data into clear, actionable answers. Connect PostgreSQL, MySQL, SQL Server, or Snowflake, or upload a CSV, Excel, or SQLite file. Then ask questions in plain English: ➡️ “What needs my attention this week?” ➡️ “Why did revenue drop last month?” ➡️ “Which products are performing best?” Instead of simply translating your question into one SQL query, DataBlips works through the analysis. 🧠 It understands your question and plans the approach. 🗄️ It inspects the relevant parts of your data and decides what information it needs. ⚡ It runs SQL for analysis, comparisons, trends, rankings, and breakdowns. 🐍 When deeper analysis is needed, it can use Python for tasks such as forecasting, regression, anomaly detection, clustering, statistical testing, and optimization. 🔎 It checks the final answer against the data before presenting it. 📊 You get a clear explanation along with the SQL, underlying results, charts or tables, and suggested questions to explore next. DataBlips is also built with data safety in mind. Database queries are restricted to validated read-only SQL, credentials are encrypted, and raw uploaded file bytes stay in your browser rather than being uploaded to DataBlips servers. No manual SQL. No jumping between SQL, Python, spreadsheets, and dashboards just to answer one question. No database handy? DataBlips includes a sample e-commerce dataset so you can start exploring immediately. 🎥 Watch the DataBlips demo: https://youtu.be/oNcEJ6wI2ME?si=wj0VbJXLgf2Wjudo Try DataBlips 👉 https://datablips.com Ask your data a question. Let DataBlips work out how to answer it.

Product Video

Watch a video demo of DataBlips.

Screenshots

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Product Updates (1)

yashbmokashi
@yashbmokashi

🚀 DataBlips ranked #3 Product of the Day on PeerPush!

Really grateful to everyone who supported the launch, shared feedback, upvoted, followed, and tried the product. Still early, but this is a great milestone. 🙌

Product had at the time: 58 upvotes • 3 comments • 39 followers • 11 PeerPush

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Reviews (49)

Average 4.9 out of 5

4.9

Based on 49 reviews

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yashbmokashi

Built DataBlips to help founders, developers, and analysts get answers from their data without jumping between SQL, Python, spreadsheets, and dashboards. Would love feedback from anyone trying it.

DataBlips brings a fresh and simple way to work with data. It makes exploring information and finding useful insights feel effortless. 🚀

Datablips tool is useful for streamlining data processing and improving accuracy. It helps reduce manual effort, speeds up data handling, and makes the overall workflow more efficient.

amoldhanwalkar

DataBlips makes data analysis feel as easy as having a conversation. A really useful tool for anyone working with data.

S

Really like how DataBlips simplifies the path from raw data to actionable insights—without the usual SQL, scripting, and dashboard overhead. Clean approach to making analytics more accessible. 🚀

Comments (2)

C
@contact8583

The read-only query guard plus keeping raw file bytes in the browser is a strong trust choice. One question: when the agent chains SQL and Python steps, can users inspect the full execution plan before running it? That would make the “check

yashbmokashi
@yashbmokashi

@contact8583 Good question, not yet as a full pre-run execution plan. Right now DataBlips builds the analysis step-by-step, so users can see the reasoning/progress as it runs and inspect the generated SQL and results afterward.

yashbmokashi
@yashbmokashi

Built DataBlips because every simple data question kept turning into SQL + Python + dashboards. Now you can ask your database or files directly. I’d love feedback on where it saves you the most time.