Stream into Elastic with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Elastic using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Elastic connector details
The Elasticsearch connector from Estuary materializes data collections into indices in an Elasticsearch cluster. It supports both standard and delta updates, giving you flexibility in how inserts, updates, and deletes are applied for search and analytics use cases.
- Materializes data collections into Elasticsearch indices for search and real-time analytics
- Supports standard merges and delta updates for CDC-style replication
- Flexible authentication with username/password or API key
- Customizable index configuration (shards, replicas, routing, keyword mappings)
- Secure setup options, including SSH tunneling for private networks
See how SocialHP uses Elastic
How to connect your data source to Elastic 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 Elastic
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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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 Elastic, 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 Elastic through Estuary.
- Transform and route data through Estuary collections before delivering it to Elastic.
See what you can connect to Elastic:
Don't see a connector?Request and our team will get back to you in 24 hours
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 |
One platform for real-time and batch data pipelines
Deliver real-time and batch data from DBs, SaaS, APIs, and more
