DatriseAI-first ETL

CockroachDB to Amazon Athena Integration

AI-first ETL from CockroachDB into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads CockroachDB into Amazon Athena

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

Amazon Athena: Serverless SQL over S3 data lake tables.

How CockroachDB entities map to Amazon Athena

CockroachDB entityAmazon Athena objectNotes
tablescockroachdb_tablesid PK · custom fields → struct/map columns in Parquet
rowscockroachdb_rowsid PK · linked to cockroachdb_tables
schemascockroachdb_schemasid PK · linked to cockroachdb_tables
secondary indexescockroachdb_secondary_indexesid PK · linked to cockroachdb_tables

FAQ

How does Datrise handle CockroachDB's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the CockroachDB to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

Early access

Connect CockroachDB to Amazon Athena the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.