Elasticsearch to Amazon Redshift Integration
AI-first ETL from Elasticsearch into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into Amazon Redshift
Datrise syncs Elasticsearch's indices, documents, mappings, fields, search queries, and aliases into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Elasticsearch: Search and analytics engine over document indices.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Elasticsearch entities map to Amazon Redshift
| Elasticsearch entity | Amazon Redshift object | Notes |
|---|---|---|
| indices | elasticsearch_indices | id PK · custom fields → SUPER columns |
| documents | elasticsearch_documents | id PK · linked to elasticsearch_indices |
| mappings | elasticsearch_mappings | id PK · linked to elasticsearch_indices |
| fields | elasticsearch_fields | id PK · linked to elasticsearch_indices |
FAQ
How does Datrise handle Elasticsearch's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Elasticsearch to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Elasticsearch
- Elasticsearch → Databricks SQL Warehouse
- Elasticsearch → ClickHouse
- Elasticsearch → DuckDB
- Elasticsearch → Amazon Athena
- Elasticsearch → Amazon S3 Data Lake
- Elasticsearch → Azure Data Lake Storage
- Elasticsearch → Azure Synapse
- Elasticsearch → Spreadsheets
- Elasticsearch → Airtable
- Elasticsearch → CSV Files
- Elasticsearch → MongoDB
- Elasticsearch → Supabase
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Early access
Connect Elasticsearch to Amazon Redshift the easy way
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