Elasticsearch → PostgreSQL
AI-first ETL from Elasticsearch into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into PostgreSQL
Datrise syncs Elasticsearch's records, events, and configuration objects 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
Elasticsearch: SaaS or API data source for analytics and warehouse sync.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Elasticsearch entities map to PostgreSQL
| Elasticsearch entity | PostgreSQL object | Notes |
|---|---|---|
| records | elasticsearch_records | id PK · custom fields → jsonb columns |
| events | elasticsearch_events | timestamptz events |
| configuration objects | elasticsearch_configuration_objects | id PK · linked to elasticsearch_records |
FAQ
How does Datrise handle Elasticsearch'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 Elasticsearch 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 Elasticsearch
- Elasticsearch → MySQL
- Elasticsearch → Microsoft SQL Server
- Elasticsearch → Oracle Database
- Elasticsearch → Snowflake
- Elasticsearch → Google BigQuery
- Elasticsearch → Amazon Redshift
- Elasticsearch → Databricks SQL Warehouse
- Elasticsearch → ClickHouse
- Elasticsearch → DuckDB
- Elasticsearch → Amazon Athena
- Elasticsearch → Amazon S3 Data Lake
- Elasticsearch → Azure Data Lake Storage
More sources for PostgreSQL
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