What is Alation?
Alation is a commercial enterprise data catalog and data governance platform. It crawls metadata from databases, warehouses, lakehouse engines, and BI tools, then gives analysts and stewards one place to search for data, read documentation, see who uses what, and apply governance policies.
What set Alation apart early on was its use of behavioral metadata. Besides crawling schemas, it ingests query logs from connected systems and uses them to show which tables and columns are used most, by whom, and how they are commonly joined. Search results and popularity indicators draw on that usage, so heavily used, curated tables rise above abandoned copies.
How Alation Works
Metadata extraction
Connectors crawl sources for databases, schemas, tables, columns, views, and, where available, lineage and query history. Alation offers a Dremio connector built on its Open Connector Framework, which, per Alation’s documentation, supports Dremio Software 24.3 and later. Check Alation’s connector list for the current status of any engine or catalog you plan to use.
Behavioral analysis
Query log ingestion feeds usage statistics: popular tables, frequent joins and filters, and top users of a dataset. This helps new analysts find the table their colleagues actually trust and see example queries against it.
Curation and governance
Stewards add descriptions, endorsements, deprecation warnings, glossary terms, and classifications such as PII tags. Policies and workflows track ownership and approvals. Enforcement of access rules still happens in the engines and catalogs that serve the data; a governance catalog documents and coordinates policy, and integrations push some of it downstream.
Alation vs Lakehouse Catalogs
A common source of confusion on the lakehouse: “catalog” means two different things.
| Alation | DataHub / OpenMetadata | Collibra | Apache Polaris, Unity Catalog OSS, AWS Glue | |
|---|---|---|---|---|
| Category | Enterprise data catalog | Open source metadata platforms | Enterprise governance catalog | Technical (Iceberg) catalogs |
| License | Commercial | Open source (Apache 2.0) | Commercial | Open source (Polaris, Unity OSS) or managed service (Glue) |
| Main users | Analysts, stewards | Data engineers, platform teams | Governance, compliance teams | Query engines and the engineers running them |
| Does an engine commit table changes through it? | No | No | No | Yes, it tracks the current metadata pointer for each table |
| Typical strengths | Search, usage-based ranking, curation | Lineage, APIs, extensibility | Policy workflows, stewardship | ACID commits, access control, credential vending |
An Iceberg lakehouse needs a technical catalog for engines like Dremio, Spark, Trino, Flink, and DuckDB to read and write tables safely. Alation sits above that layer, cataloging what lives there alongside every other system in the company. The two are complementary rather than competing choices.
For more context, see Metadata Platforms in 2026: DataHub, OpenMetadata, Atlan, and Catalog Convergence, Choosing the Right Iceberg Control Plane, and Semantic Layer vs. Data Catalog. Related glossary entries: DataHub, Collibra, Apache Polaris, and Unity Catalog.
Summary
Alation helps people find, understand, and govern data across many systems, with query-log usage as a distinctive signal. On a data lakehouse, it complements rather than replaces the Iceberg catalog that engines use to manage tables.
Learn More
To learn more about the Data Lakehouse, read The Lakehouse Built for Everyone by Alex Merced. You can find this and other books by Alex Merced at books.alexmerced.com.