Elasticsearch to MongoDB Integration
AI-first ETL from Elasticsearch into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into MongoDB
Datrise syncs Elasticsearch's indices, documents, mappings, fields, search queries, and aliases into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Elasticsearch: Search and analytics engine over document indices.
MongoDB: Document database for flexible schemas.
How Elasticsearch entities map to MongoDB
| Elasticsearch entity | MongoDB object | Notes |
|---|---|---|
| indices | elasticsearch_indices | id PK · custom fields → native nested documents |
| 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 MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Elasticsearch to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Elasticsearch
- Elasticsearch → Supabase
- Elasticsearch → Neon
- Elasticsearch → PlanetScale
- Elasticsearch → Amazon DynamoDB
- Elasticsearch → Looker
- Elasticsearch → Looker Studio
- Elasticsearch → Microsoft Power BI
- Elasticsearch → Tableau
- Elasticsearch → Apache Superset
- Elasticsearch → Metabase
- Elasticsearch → Amazon QuickSight
- Elasticsearch → Domo
Early access
Connect Elasticsearch to MongoDB the easy way
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