Stream data from Alloy DB for Postgres to Azure Cosmos DB
Sync your Alloy DB for Postgres data with Azure Cosmos DB in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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How to integrate Alloy DB for Postgres with Azure Cosmos DB in 3 simple steps using Estuary Flow
Connect Alloy DB for Postgres as Your Real-Time Data Source
Set up a real-time source connector for Alloy DB for Postgres in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Azure Cosmos DB as Your Target
Choose Azure Cosmos DB as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:
Real-time CDC and batch ETL/ELT pipelines with sub-100ms latency.
No-code pipelines, automatic schema evolution, and developer-friendly CLI.
Secure, scalable deployments with Private Link support up to 40% lower data warehouse costs.
What customers are saying
Seattle Data Guy
"Estuary makes working with real-time data more cost effective and just as simple as working with batch data."
Scott Vickers, CTO, Headset
Estuary has been a game-changer for Headset’s data infrastructure. Compared to our previous solutions, it has dramatically improved reliability while reducing our overall costs significantly.
Revunit
"Estuary is our preferred CDC solution for importing data from application databases into BigQuery for analytics. It offers a transparent pricing structure, timely support responses, and an intuitive CLI tool for bulk configuration tasks. In contrast, other market solutions often have ambiguous pricing and fewer options for precise data replication across environments. This makes choosing to use Estuary an obvious decision."
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Minima Global
"Getting #MINIMA real-time data replication out to the Postgres database was not fun until we found @EstuaryDev it is the best materialization."
Forward
"Our migration away from Rockset would’ve been 100x harder without the unique capabilities that Estuary provides. We’re materializing transformations from Snowflake, DynamoDB and MySQL to our warehouse in under a second. Estuary unlocks incremental materialization for any datastore while also providing a Kafka interface for all of our sources and derived collections. We now have an immense amount of flexibility to support any type of workload on our data platform."
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“We're a big fan of Estuary's real-time, no code model. It's magic that we're getting real time data without much effort and we don't have to spend time thinking about broken pipelines. We've also experienced fantastic support by Estuary."
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Coalesce
“Estuary is the only system we’ve found that can seamlessly replicate large scale Firestore data for analytics. After months of research and trying everything, we can confidently say that Estuary is the only company that can help us get easy, accurate analytics on our data within Snowflake when replicating from Firestore data."
Increase productivity 4x
With Flow 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. Flow decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow'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.
Data moved
It's free up to 10 GB/month and 2 connector instances.
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FAQ
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Alloy DB for Postgres connector.
- Enter Details: Add your Alloy DB for Postgres connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Alloy DB for Postgres capture, and publish.
1. What is the difference between ETL, ELT, and CDC?
ETL extracts data from sources, transforms it, and loads it into a destination. ELT loads raw data first and transforms it within the destination for flexibility. CDC captures real-time changes (inserts, updates, deletes) and syncs them to the destination.
Estuary Flow supports real-time CDC, ETL, and ELT, allowing you to choose the best approach for your needs.
2. What is Alloy DB for Postgres?
3. How do I Transfer Data from Alloy DB for Postgres?
4. What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
