DatriseAI-first ETL

Firebase Realtime Database to ClickHouse Integration

AI-first ETL from Firebase Realtime Database into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Firebase Realtime Database into ClickHouse

Datrise syncs Firebase Realtime Database's nodes, child paths, JSON values, write events, references, and security rules into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Firebase Realtime Database: JSON tree database with realtime synchronization.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Firebase Realtime Database entities map to ClickHouse

Firebase Realtime Database entityClickHouse objectNotes
nodesfirebase_realtime_database_nodesid PK · custom fields → JSON or Map columns
child pathsfirebase_realtime_database_child_pathsid PK · linked to firebase_realtime_database_nodes
JSON valuesfirebase_realtime_database_json_valuesid PK · linked to firebase_realtime_database_nodes
write eventsfirebase_realtime_database_write_eventsDateTime64 events

FAQ

How does Datrise handle Firebase Realtime Database's custom fields in ClickHouse?

Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.

How does the Firebase Realtime Database to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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