Stream data from Alloy DB for Postgres to Elastic
Move data from Alloy DB for Postgres to Elastic in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Alloy DB for Postgres with Elastic in 3 simple steps
Connect Alloy DB for Postgres as your data source
Set up a source connector for Alloy DB for Postgres in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Elastic as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Elastic.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Alloy DB for Postgres connector details
The AlloyDB connector for Estuary Flow uses change data capture (CDC) to replicate inserts, updates, and deletes from your AlloyDB database into Flow collections in near real time. Built on the PostgreSQL capture foundation, it brings AlloyDB’s scalability and Google Cloud integration into the Estuary ecosystem with minimal setup effort.
- Continuously streams row-level changes from AlloyDB using PostgreSQL logical replication
- Supports automatic creation of replication slots, publications, and watermark tables
- Requires SSH tunneling for secure access, since AlloyDB doesn’t support IP allowlisting
- Configurable backfill behavior to balance completeness and performance
- Enterprise-ready: Compatible with Estuary’s Private and BYOC deployments for secure, compliant data movement

Elastic connector details
The Elasticsearch connector from Estuary materializes Flow 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 Flow 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
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Alloy DB for Postgres to Elastic pricing estimate
Estimated monthly cost to move 800 GB from Alloy DB for Postgres to Elastic is approximately $1,000.
Data moved
Choose how much data you want to move from Alloy DB for Postgres to Elastic each month.
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Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Alloy DB for Postgres to Elastic without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Alloy DB for Postgres to Elastic integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.








































