Facebook Pages to ClickHouse Integration
AI-first ETL from Facebook Pages into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Facebook Pages into ClickHouse
Datrise syncs Facebook Pages's posts, page insights, followers, reactions, comments, and reach metrics 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
Facebook Pages: Organic page presence and audience engagement on Meta.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Facebook Pages entities map to ClickHouse
| Facebook Pages entity | ClickHouse object | Notes |
|---|---|---|
| posts | facebook_pages_posts | id PK · custom fields → JSON or Map columns |
| page insights | facebook_pages_page_insights | id PK · linked to facebook_pages_posts |
| followers | facebook_pages_followers | id PK · linked to facebook_pages_posts |
| reactions | facebook_pages_reactions | id PK · linked to facebook_pages_posts |
FAQ
How does Datrise handle Facebook Pages'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 Facebook Pages 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
More destinations for Facebook Pages
- Facebook Pages → DuckDB
- Facebook Pages → Amazon Athena
- Facebook Pages → Amazon S3 Data Lake
- Facebook Pages → Azure Data Lake Storage
- Facebook Pages → Azure Synapse
- Facebook Pages → Spreadsheets
- Facebook Pages → Airtable
- Facebook Pages → CSV Files
- Facebook Pages → MongoDB
- Facebook Pages → Supabase
- Facebook Pages → Neon
- Facebook Pages → PlanetScale
More sources for ClickHouse
Early access
Connect Facebook Pages to ClickHouse the easy way
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