Stream data from Alloy DB for Postgres to SQLite
Sync your Alloy DB for Postgres data with SQLite in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
- No credit card required
- 30-day free trial
- 100SOf connectors
- 5500+Active users
- <100MSEnd-to-end latency
- 7+GB/SECSingle dataflow
How to integrate Alloy DB for Postgres with SQLite 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 SQLite as Your Target
Choose SQLite 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
Estuary Flow transformed how we operationalize our data for fraud, security, support, and beyond.. Instead of unreliable, expensive backfills, we have real-time visibility into platform activity. The proactive support and hands-on approach make all the difference.
Read the Success Story
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.
Read the Success Story
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.
Read the Success Story
We didn’t want to be locked into a system where faster syncs meant higher bills. Estuary gives us real-time pipelines without pricing games or the burden of running Kafka ourselves.
Read the Success Story
We needed something self-serve, fast, and reliable, and Estuary delivered exactly that. It’s a huge unlock for our operations, reporting, and machine learning.
Read the Success Story
Estuary became our real-time data backbone without the cost or complexity of traditional solutions. We replaced a fragile, high-maintenance pipeline with a managed system that just works and scales.?
Read the Success Story
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.
Estuary Flow makes tough data transformation problems a piece of cake with its intuitive user interface and incredible breadth of features.
Estuary Flow is the only SaaS tool that we found which can do a simple loop and calculate COGS from an array of objects nested in a property. We love to write transformations in typescript because it's in the same codebase and super easy to maintain and read. It's a true game changer.
Getting #MINIMA real-time data replication out to the Postgres database was not fun until we found @EstuaryDev it is the best materialization.
Estuary makes working with real-time data more cost effective and just as simple as working with batch data.
This tool is 1000x times better than LogStash or Elastic Enterprise Data Ingestion Tool.
Estuary Flow allows us to integrate low-latency CDC and connect to SaaS apps across our entire reporting stack and it’s the only solution that we’ve found that lets us do both.
We needed a platform to help us optimize marketing campaigns with low-latency. Estuary provided an unparalleled solution to do that at terabyte scale.
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.
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.
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.
GB
Choose number of sources and destinations.
Your price at Estuary
Pricing comparisons
FAQs
- 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.
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Join Slack CommunityEstuary 101
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Watch
Related integrations with Alloy DB for Postgres
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 Flow's rich CLI.
