Elasticsearch → MySQL
AI-first ETL from Elasticsearch into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into MySQL
Datrise syncs Elasticsearch's records, events, and configuration objects into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Elasticsearch: SaaS or API data source for analytics and warehouse sync.
MySQL: Widely used OSS relational engine (InnoDB).
How Elasticsearch entities map to MySQL
| Elasticsearch entity | MySQL object | Notes |
|---|---|---|
| records | elasticsearch_records | id PK · custom fields → JSON columns |
| events | elasticsearch_events | DATETIME/TIMESTAMP events |
| configuration objects | elasticsearch_configuration_objects | id PK · linked to elasticsearch_records |
FAQ
How does Datrise handle Elasticsearch's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Elasticsearch to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Elasticsearch
- 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
- Elasticsearch → Azure Synapse
Early access
Connect Elasticsearch to MySQL 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.