Fauna to Amazon Athena Integration

How Datrise loads Fauna into Amazon Athena

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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

Fauna: Distributed document-relational database.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Fauna entities map to Amazon Athena

Fauna entity	Amazon Athena object	Notes
collections	`fauna_collections`	id PK · custom fields → struct/map columns in Parquet
documents	`fauna_documents`	id PK · linked to fauna_collections
indexes	`fauna_indexes`	id PK · linked to fauna_collections
functions	`fauna_functions`	id PK · linked to fauna_collections

FAQ

How does Datrise handle Fauna'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 Fauna 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 Fauna 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.