Firebase Realtime Database to Amazon Athena Integration
AI-first ETL from Firebase Realtime Database into Amazon Athena. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebase Realtime Database into Amazon Athena
Datrise syncs Firebase Realtime Database's nodes, child paths, JSON values, write events, references, and security rules 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
Firebase Realtime Database: JSON tree database with realtime synchronization.
Amazon Athena: Serverless SQL over S3 data lake tables.
How Firebase Realtime Database entities map to Amazon Athena
| Firebase Realtime Database entity | Amazon Athena object | Notes |
|---|---|---|
| nodes | firebase_realtime_database_nodes | id PK · custom fields → struct/map columns in Parquet |
| child paths | firebase_realtime_database_child_paths | id PK · linked to firebase_realtime_database_nodes |
| JSON values | firebase_realtime_database_json_values | id PK · linked to firebase_realtime_database_nodes |
| write events | firebase_realtime_database_write_events | timestamp events |
FAQ
How does Datrise handle Firebase Realtime Database'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 Firebase Realtime Database 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 Firebase Realtime Database
- Firebase Realtime Database → Amazon S3 Data Lake
- Firebase Realtime Database → Azure Data Lake Storage
- Firebase Realtime Database → Azure Synapse
- Firebase Realtime Database → Spreadsheets
- Firebase Realtime Database → Airtable
- Firebase Realtime Database → CSV Files
- Firebase Realtime Database → MongoDB
- Firebase Realtime Database → Supabase
- Firebase Realtime Database → Neon
- Firebase Realtime Database → PlanetScale
- Firebase Realtime Database → Amazon DynamoDB
- Firebase Realtime Database → Looker
More sources for Amazon Athena
- Firebolt → Amazon Athena
- Flexport → Amazon Athena
- Formkeep → Amazon Athena
- Freshcaller → Amazon Athena
- Front → Amazon Athena
- Google Analytics 4 → Amazon Athena
- Gainsight → Amazon Athena
- Genesys → Amazon Athena
- GitHub Webhook → Amazon Athena
- Glassfrog → Amazon Athena
- GNews → Amazon Athena
- GoCardless → Amazon Athena
Early access
Connect Firebase Realtime Database to Amazon Athena the easy way
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