Elasticsearch to Amazon DynamoDB Integration
AI-first ETL from Elasticsearch into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Elasticsearch into Amazon DynamoDB
Datrise syncs Elasticsearch's indices, documents, mappings, fields, search queries, and aliases into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.
Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.
Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.
Endpoints
Elasticsearch: Search and analytics engine over document indices.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Elasticsearch entities map to Amazon DynamoDB
| Elasticsearch entity | Amazon DynamoDB object | Notes |
|---|---|---|
| indices | elasticsearch_indices | id PK · custom fields → nested map/list attributes |
| 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 DynamoDB?
Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.
How does the Elasticsearch to Amazon DynamoDB sync stay up to date?
It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.
Related pipelines
More destinations for Elasticsearch
- Elasticsearch → Looker
- Elasticsearch → Looker Studio
- Elasticsearch → Microsoft Power BI
- Elasticsearch → Tableau
- Elasticsearch → Apache Superset
- Elasticsearch → Metabase
- Elasticsearch → Amazon QuickSight
- Elasticsearch → Domo
- Elasticsearch → Sisense
- Elasticsearch → ThoughtSpot
- Elasticsearch → Qlik
- Elasticsearch → Mode
More sources for Amazon DynamoDB
- Eloqua → Amazon DynamoDB
- EmailOctopus → Amazon DynamoDB
- Everhour → Amazon DynamoDB
- Excel File → Amazon DynamoDB
- Exchange Rates API → Amazon DynamoDB
- Facebook Pages → Amazon DynamoDB
- Fastbill → Amazon DynamoDB
- Fauna → Amazon DynamoDB
- Firebase → Amazon DynamoDB
- Firebase Realtime Database → Amazon DynamoDB
- Firebolt → Amazon DynamoDB
- Flexport → Amazon DynamoDB
Early access
Connect Elasticsearch to Amazon DynamoDB 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.