Stream into AWS OpenSearch with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into AWS OpenSearch using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
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01. Select a source02. Transform in-flight03. Deliver to AWS OpenSearch

AWS OpenSearch connector details

The AWS OpenSearch materialization connector in Estuary delivers data from Estuary collections into OpenSearch indices for search, analytics, AI, and operational workloads. Estuary automatically creates an OpenSearch index for each materialization binding and configures index mappings for the selected fields.

Automatic OpenSearch index creation for each materialization binding
Standard updates by default, with optional delta updates configured per binding
Optional hard deletes to remove destination documents when records are deleted upstream
Custom index names for individual Estuary collections
Configurable index shards and replicas
Custom field mappings, including types such as keyword and custom date formats
Document routing support using a selected collection key field
Username/password or API key authentication
Direct connectivity or SSH tunneling for OpenSearch clusters on secure networks

By default, Estuary uses the last component of the collection name as the OpenSearch index name, though you can configure a custom index for each binding. Deleted records are represented as soft deletes through _meta/op by default; enabling hard deletes removes those documents from OpenSearch instead.

For more details about the AWS OpenSearch connector, check out the documentation page.

How to connect your data source to AWS OpenSearch in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to AWS OpenSearch
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into AWS OpenSearch, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to AWS OpenSearch through Estuary.
Transform and route data through Estuary collections before delivering it to AWS OpenSearch.

See what you can connect to AWS OpenSearch:

Search for any source

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High