Twitter to PostgreSQL Integration
AI-first ETL from Twitter into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Twitter into PostgreSQL
Datrise syncs Twitter's posts, users, engagement metrics, followers, mentions, and hashtags into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Twitter: Organic post activity and audience engagement on X.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Twitter entities map to PostgreSQL
| Twitter entity | PostgreSQL object | Notes |
|---|---|---|
| posts | twitter_posts | id PK · custom fields → jsonb columns |
| users | twitter_users | id PK · linked to twitter_posts |
| engagement metrics | twitter_engagement_metrics | id PK · linked to twitter_posts |
| followers | twitter_followers | id PK · linked to twitter_posts |
FAQ
How does Datrise handle Twitter's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Twitter to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Twitter
Early access
Connect Twitter to PostgreSQL the easy way
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