STREAM DATA FROM Linkedin Ads TO Alloy DB for Postgres
- 100SOf connectors
- 3000+Active users
- <100MSEnd-to-end latency
- 7+GB/SECSingle dataflow
FROM Linkedin Ads
TO Alloy DB for Postgres
WHAT CUSTOMERS ARE SAYING
![Seattle Data Guy avatar]()
Seattle Data Guy
"Estuary makes working with real-time data more cost effective and just as simple as working with batch data."
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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."
![Pompato avatar]()
Pompato
"This tool is 1000x times better than LogStash or Elastic Enterprise Data Ingestion Tool."
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PDI.
"Estuary Flow makes tough data transformation problems a piece of cake with its intuitive user interface and incredible breadth of features."
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OneCommerce
"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."
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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."
Flashpack
“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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Fenestra
“We needed a platform to help us optimize marketing campaigns with low-latency. Estuary provided an unparalleled solution to do that at terabyte scale."
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DeepSync
“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.”
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."
ESTUARY FLOW IN ACTION
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
REAL-TIME AND BATCH IN ONE SOLUTION
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:
Fastest real-time capture with sub-100ms latency.
Mix and match real-time and batch connectors.
Most reliable delivery via stream-store-replay.
Most flexible materializations that run at your speed of choice.
Most automated pipelines with schema evolution.
Most versatile writes that maintain a current view or all change history.
Most scalable pipelines, with true elastic scaling.
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.
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.
Pricing Calculator
2GB of Change data