Apache Spark → Amazon Athena
AI-first ETL from Apache Spark into Amazon Athena. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Amazon Athena
Datrise syncs Apache Spark's records, events, and configuration objects 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
Apache Spark: SaaS or API data source for analytics and warehouse sync.
Amazon Athena: Serverless SQL over S3 data lake tables.
How Apache Spark entities map to Amazon Athena
| Apache Spark entity | Amazon Athena object | Notes |
|---|---|---|
| records | apache_spark_records | id PK · custom fields → struct/map columns in Parquet |
| events | apache_spark_events | timestamp events |
| configuration objects | apache_spark_configuration_objects | id PK · linked to apache_spark_records |
FAQ
How does Datrise handle Apache Spark'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 Apache Spark 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
More destinations for Apache Spark
- Apache Spark → Amazon S3 Data Lake
- Apache Spark → Azure Data Lake Storage
- Apache Spark → Azure Synapse
- Apache Spark → Spreadsheets
- Apache Spark → Airtable
- Apache Spark → CSV Files
- Apache Spark → MongoDB
- Apache Spark → Supabase
- Apache Spark → Neon
- Apache Spark → PlanetScale
- Apache Spark → Amazon DynamoDB
- Apache Spark → Looker
More sources for Amazon Athena
- Apify → Amazon Athena
- Appfollow → Amazon Athena
- Apple Search Ads → Amazon Athena
- Ashby → Amazon Athena
- Autopilot → Amazon Athena
- Autopilot Activities → Amazon Athena
- Aws Cloudtrail → Amazon Athena
- Azure Table Storage → Amazon Athena
- Azureblobstorage → Amazon Athena
- Babelforce → Amazon Athena
- Bigcommerce → Amazon Athena
- Bigquery → Amazon Athena
Early access
Connect Apache Spark 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.