Data as of Aug 25, 2026 · Based on 979 AI responses · Shares cover the last 30 days · See how Parse measures this
Data Lakehouse Governance & Lineage Tools
Parse
https://parse.gl
AI assistants recognize the as the foundational layer for data lakehouse architecture, frequently citing projects like Spark, Iceberg, and Atlas. However, the conversation has increasingly shifted towards dedicated governance platforms, with and emerging as top recommendations for data cataloging and lineage.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | A modern, collaborative metadata platform with automated lineage and quality features. | 49% | |
| 2 | An enterprise-grade tool for compliance, data lineage, and formal governance workflows. | 47% | |
| 3 | The foundational open-source ecosystem for building and managing data lakehouses. | 47% | |
| 4 | 42% | ||
| 5 | The original lakehouse platform, best for data engineering and AI/ML workloads. | 40% | |
| 6 | 40% | ||
| 7 | 33% | ||
| 8 | 27% | ||
| 9 | 25% | ||
| 10 | 17% | ||
| 11 | A warehouse-first platform evolving to support lakehouse analytics and business intelligence. | 16% | |
| 12 | 16% | ||
| 13 | 14% | ||
| 14 | 11% | ||
| 15 | 10% | ||
| 16 | 9% | ||
| 17 | 9% | ||
| 18 | 9% | ||
| 19 | 8% | ||
| 20 | The go-to open storage layer for enabling ACID transactions on data lakes. | 8% | |
| 21 | 8% | ||
| 22 | 7% | ||
| 23 | 7% | ||
| 24 | 7% | ||
| 25 | 7% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
atlan.com is the page AI reaches for most here, cited in 44% of analyzed answers.
Climbed from #30 to #6 between Oct 2025 and Mar 2026.
Rose from #22 to #4 between Oct 2025 and Mar 2026.
“Positioned as a direct alternative to Snowflake for a lakehouse.” → “Often framed as a complementary tool used for engineering and AI in a hybrid architecture.”
Dropped from #4 to #13 between Oct 2025 and Mar 2026.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 60% | 49% | ||
| 53% | 54% | ||
| 53% | 27% | ||
| 40% | 35% | ||
| 53% | 28% |
The two models disagree most about DataHub (ChatGPT #9, Google #24) and OpenMetadata (ChatGPT #5, Google #19).
Across 979 AI responses, Atlan is mentioned most, named in 49% of them, followed by Collibra (47%) and Apache Software Foundation (47%).
Parse measures each brand's mention rate — the share of answers naming it — across 979 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Initially, responses highlighted platform-native tools like Databricks Unity Catalog. Since late 2025, AI assistants increasingly segment the market, recommending third-party enterprise platforms like
Atlan and
Collibra alongside native options from
, , and .
Best data governance/catalog for lakehouse + warehouse?
Initially, responses highlighted platform-native tools like Databricks Unity Catalog. Since late 2025, AI assistants increasingly segment the market, recommending third-party enterprise platforms like
Atlan and
Collibra alongside native options from , , and .
Responses to this prompt consistently favor specialized, third-party governance platforms over native cloud tools. Collibra is frequently positioned as the enterprise-grade leader for compliance and lineage, while is often presented as a modern, collaborative alternative.
Brands mentioned
Brands mentioned
Which data governance tools verify the quality and lineage of data in a data lake?
Responses to this prompt consistently favor specialized, third-party governance platforms over native cloud tools. Collibra is frequently positioned as the enterprise-grade leader for compliance and lineage, while
Atlan is often presented as a modern, collaborative alternative.