PostgreSQL to Spotfire Integration
AI-first ETL from PostgreSQL into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostgreSQL into Spotfire
Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
PostgreSQL: Self-managed PostgreSQL instances.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How PostgreSQL entities map to Spotfire
| PostgreSQL entity | Spotfire object | Notes |
|---|---|---|
| tables | hp_postgres_tables | id PK · custom fields → flattened columns for visualizations |
| rows | hp_postgres_rows | id PK · linked to hp_postgres_tables |
| schemas | hp_postgres_schemas | id PK · linked to hp_postgres_tables |
| indexes | hp_postgres_indexes | id PK · linked to hp_postgres_tables |
FAQ
How does Datrise handle PostgreSQL's custom fields in Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the PostgreSQL to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for PostgreSQL
- PostgreSQL → Yellowfin
- PostgreSQL → PostgreSQL
- PostgreSQL → MySQL
- PostgreSQL → Microsoft SQL Server
- PostgreSQL → Oracle Database
- PostgreSQL → Snowflake
- PostgreSQL → Google BigQuery
- PostgreSQL → Amazon Redshift
- PostgreSQL → Databricks SQL Warehouse
- PostgreSQL → ClickHouse
- PostgreSQL → DuckDB
- PostgreSQL → Amazon Athena
Early access
Connect PostgreSQL to Spotfire the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.