Salesflare → PostgreSQL
AI-first ETL from Salesflare into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into PostgreSQL
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Salesflare entities map to PostgreSQL
| Salesflare entity | PostgreSQL object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → jsonb columns |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | timestamptz events |
FAQ
How does Datrise handle Salesflare'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 Salesflare 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 Salesflare
- Salesflare → MySQL
- Salesflare → Microsoft SQL Server
- Salesflare → Oracle Database
- Salesflare → Snowflake
- Salesflare → Google BigQuery
- Salesflare → Amazon Redshift
- Salesflare → Databricks SQL Warehouse
- Salesflare → ClickHouse
- Salesflare → DuckDB
- Salesflare → Amazon Athena
- Salesflare → Amazon S3 Data Lake
- Salesflare → Azure Data Lake Storage
Early access
Connect Salesflare to PostgreSQL the easy way
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