What AI says about DataHub
Since Jul 5Updated Nov 2, 2026Based on 20,654 AI responses
Reviewed by Dimitry Apollonsky
AI summary
DataHub is a data platform company that builds tools for creating and managing data portals, including the PortalJS framework for decoupling CKAN frontends.
Mentioned in
1%
of AI answers about DataHub and its rivals
- ChatGPT1%
- Google AI Mode1%
Markets where AI mentions DataHub
Market# · Mentioned in
All markets1%
- Enterprise Data Catalog & Governance PlatformsAI picks Atlan most#6 · 32%
- Data Lakehouse Governance & Lineage ToolsAI picks Collibra most#12 · 23%
- Data Engineering & Cloud Modernization ToolsAI picks Apache Airflow and 4 more about as often#15 · 15%
- Enterprise Cloud Data Platform ToolsAI picks Snowflake most#28 · 3%
- Data Observability and Quality PlatformsAI picks Monte Carlo Data most#32 · <1%
- ELT and Data Transformation ToolsAI picks Fivetran most#57 · <1%
- AI Data Cleaning & Preparation ToolsAI picks OpenRefine most#75 · <1%
- Business Intelligence & Analytics SoftwareAI picks Microsoft Power BI most#141 · <1%
- RLHF Data Collection & Training PlatformsAI picks Scale most#156 · <1%
- MLOps and Inference Serving PlatformsAI picks Modal most#320 · <1%
Topics where AI mentions DataHub
TopicMentioned in · on this topicRank
- AI picks mostMentioned in
- Which data catalog platforms integrate column-level lineage from BI models transformation code and streaming pipelines?on this questionAI picks Atlan most31%
Excerpts where DataHub appeared in the AI's answer
Google AI ModeSep 10, 2026, Google AI Mode Modern active data catalogs like Atlan, Acryl Data (DataHub), and OpenMetadata integrate end-to-end, column-level lineage
Google AI ModeSep 2, 2026, Google AI Mode DataHub — Features a robust schema-aware SQL parser (using SQLGlot) to deduce granular column-level lineage.
- Looking for a data cataloging tool with automated lineage tracking for a messy, multi-source data warehouse.on this questionAI picks Collibra and 1 more about as often33%
Excerpts where DataHub appeared in the AI's answer
ChatGPTSep 22, 2026, ChatGPT DataHub — good when your engineering team wants a highly extensible metadata graph and can operate it themselves.
ChatGPTSep 18, 2026, ChatGPT DataHub — good if your engineering team wants maximum extensibility and a metadata graph you can customize.
- I am looking for a "data lineage" tool for tracking data flow across a complex enterprise stack.on this questionAI picks Collibra most59%
Excerpts where DataHub appeared in the AI's answer
Google AI ModeSep 21, 2026, Google AI Mode DataHub : Highly extensible, open-source metadata platform backed by a strong community, great for deep programmatic customization in engineering-heavy cultures.
Google AI ModeSep 13, 2026, Google AI Mode Projects like Acryl Data / DataHub or OpenMetadata offer powerful column-level lineage
- What's the best tool to track model lineage for an AI audit?on this questionAI picks MLflow most30%
Excerpts where DataHub appeared in the AI's answer
ChatGPTSep 24, 2026, ChatGPT DataHub — better when "lineage" needs to extend beyond the ML experiment into the enterprise data estate
Google AI ModeAug 19, 2026, Google AI Mode OpenLineage / DataHub — Best for open-source-first, engineering-led enterprises.
How prominently AI mentions DataHub
- Named first4%
- 2nd or 3rd14%
- Later82%
How AI rates DataHub
Common descriptions
open-source · extensible · highly extensible · engineering-led · flexible · engineering-driven
Tone of AI’s statements about DataHub
- Positive51%
- Neutral43%
- Mixed6%
- Negative<1%
DataHub in AI answers
Question: What is the best platform for building and managing a company-wide data mesh architecture?
Google AI ModeNov 1, 2026
DataHub / Collibra / Alation : Excellent traditional and modern data cataloging options
Google AI ModeSep 21, 2026
DataHub: An open-source metadata platform heavily favored by modern platform teams for custom-built data mesh backbones.
Question: What's the best tool to track model lineage for an AI audit?
ChatGPTSep 24, 2026
DataHub — better when "lineage" needs to extend beyond the ML experiment into the enterprise data estate
Sources AI cites
- Leaves DataHub out31%
- Data Lineage Software | DataHub Cloud (opens in a new tab) · 11%
- Data Lineage Tools in 2026: Where Lineage Lives | DataHub (opens in a new tab) · 7%Leaves DataHub out
- Column-Level Lineage: What It Is and How It Works | DataHub (opens in a new tab) · 2%
- End-to-End Data Lineage: What It Requires - DataHub (opens in a new tab) · 2%
- Data Observability Platform | DataHub Cloud (opens in a new tab) · 2%Leaves DataHub out
- DataHub | AI & Data Context Management Platform (opens in a new tab) · 1%Leaves DataHub out
- Data Lineage for Machine Learning: Why It Matters | DataHub (opens in a new tab) · 1%
- Data Lineage vs. Data Provenance: What's the Difference? - DataHub (opens in a new tab) · 1%
- Open Source Data Lineage: Tools and Tradeoffs | DataHub (opens in a new tab) · 1%Leaves DataHub out
- How to Implement Data Mesh | DataHub (opens in a new tab) · 1%
- 5%
- [Galaxy] Modern Data Infrastructure in 2026: Enterprise Data Platform Tools & Buying Criteria (opens in a new tab) · 3%
- Best Data Lineage Tools in 2025: Top 10 Compared | Galaxy (opens in a new tab) · 1%
- [Galaxy] Modern Data Infrastructure in 2026: Enterprise Data Platform Tools & Buying Criteria (opens in a new tab) · 1%
- Leaves DataHub out3%
- 7 Best Automated Data Lineage Tools in 2026 (opens in a new tab) · 3%Leaves DataHub out
- Leaves DataHub out2%
- Leaves DataHub out2%
- The Best Data Lineage and Catalog Tools in 2026 (opens in a new tab) · 2%Leaves DataHub out
The page AI cites most for DataHub
Check it mentions DataHub and gets the details right.
