@EstuaryDev

Right-time data for enterprises. Estuary replaces fragmented data stacks with one platform for CDC, streaming, batch & pipelines.

 New York
estuary.dev
Joined October 2021
  • Tweets509
  • Following42
  • Followers305
202Media
select count(*) from data_planes; → 101 🎉 We just crossed 100 data planes — every place Estuary runs your pipelines in real time, from our own cloud regions to your environment via BYOC. Your data never leaves your cloud. Here's to the next 100.
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Change Data Capture is simple at its core, but hard to implement properly. CDC tools make this process much easier. I put a video together showing a simple pipeline of local Postgres -> Estuary CDC -> MotherDuck. Go deeper here: youtu.be/_tgiCopf8aY?si=QFki…
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Data engineers on a calm Friday afternoon:
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Change Data Capture is a hard problem to solve correctly. The edge cases are limitless. I've seen some terrible in house attempts to build a solution. I've used Protocol Buffer -> PubSub pipelines before and it's still difficult. I'm partnering with @EstuaryDev because it challenges me to understand this topic more and their solution is also simple + interesting. I'm a sucker for easy solutions to hard problems. youtu.be/_tgiCopf8aY?si=Yvld…

Next Gen Change Data Capture: Streaming Postgres with Estuary

Change Data Capture (CDC) has a reputation for being complicated bu...

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Meet the new Estuary. We rebuilt the engine underneath the platform. New transaction loop, written in Rust. Data staged on disk instead of in memory. Each task coordinated by a single leader. 8x more throughput on a single worker. estuary.dev/runtime
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Your team wants ClickHouse for real-time analytics, but no one wants to maintain a second pipeline to make it happen. With Estuary's fan-out architecture, you can capture once and serve multiple destinations. Join us for a live walkthrough on Aug 26: hubs.li/Q04sQ6j20
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Stop making Postgres moonlight as your fraud analytics engine. Estuary's CDC captures every change once and streams it continuously into ClickHouse, so fraud scoring and compliance queries run in real time without ever touching your production database. hubs.li/Q04st9Tp0

PostgreSQL CDC to ClickHouse: Banking Analytics Guide

Learn how to stream PostgreSQL CDC data to ClickHouse with Estuary and build a real-time banking transaction and fraud-monitoring dashboard.

estuary.dev
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Data movement? More like data momentum 😎 This badge recognition from the @g2dotcom Summer 2026 Grid® Report for ETL Tools is a testament to the power of Estuary's growing community of users. Our momentum is your momentum!
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The biggest event involving an Iceberg since the Titanic. Join us on Tuesday, July 28 for a virtual demo of Estuary's data integration platform and our Iceberg materialization connector. Q&A to follow! Limited capacity, secure your spot today: hubs.li/Q04qKcc00
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Estuary Agent Skills give your AI coding assistant the Estuary-specific context it needs to build and operate real-time data pipelines. Works with Claude Code, Cursor, Codex, and 45+ other agents. 37 public skills currently available and more to come! youtube.com/watch?v=lc71ILyd…

Introducing Estuary Agent Skills: Build Data Pipelines with AI

Estuary Agent Skills give your AI coding assistant the Estuary-spec...

youtube.com
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Agents won't replace data engineers. They'll cut down the context switching so engineers can focus on actual problems. Read how our Agent Skills setup a real-time Postgres replication in under an hour with Claude Code, no prior Estuary experience needed. bit.ly/4gYtnRi

Move Data in Real Time with Estuary Agent Skills

See how Estuary's Agent Skills set up real-time PostgreSQL replication in under an hour with Claude Code, no prior Estuary experience needed.

estuary.dev
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Can your AI agent trust the Postgres data it's acting on? In his new article, Dani Pálma (Dev Relations, Estuary) covers the failure modes that hit agent pipelines hardest, and what a real-time data plane between Postgres and your agents should look like. bit.ly/4vG9djy

Postgres CDC for AI Agents: Fresh, Safe, Observable Data Pipelines

AI agents need fresh operational context from Postgres. Learn how CDC, replication slots, WAL monitoring, schema evolution, deletes, and observability keep agentic workflows reliable.

estuary.dev
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It's easy to say "use Postgres" for OLTP, but where do you actually host it? In our new guide, we highlight the best platforms by use-case and around real operational decisions like startup velocity, AWS/GCP/Azure alignment, and infrastructure control. bit.ly/44ncLv8
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Next Tuesday! Learn how to setup and deploy a ClickHouse data pipeline in Estuary in this fast-paced walkthrough. RSVP today to reserve your spot: bit.ly/4a4sZwx
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Two great events in one evening! Last night we hosted a private dinner at The Cavalier to celebrate the launch of our Agent Skills with new and familiar faces. We also turned up the heat w/ our pals at @orchestra_data for a spicy data happy hour. Thanks to all who attended!
A welcome sign on a table introduces a celebration for right-time data infrastructure in AI production, mentioning Estuary's new Agent Skills and unlimited throughput updates. The sign includes an illustration of clinking champagne glasses.

ALT A welcome sign on a table introduces a celebration for right-time data infrastructure in AI production, mentioning Estuary's new Agent Skills and unlimited throughput updates. The sign includes an illustration of clinking champagne glasses.

A dining table at a restaurant is set with a white tablecloth, black gift bags, and a sign holder displaying "Table Agent Ready." A name card on the table reads "ESTUARY." A fork is placed to the left of a white plate, and a blue bag is visible in the background.

ALT A dining table at a restaurant is set with a white tablecloth, black gift bags, and a sign holder displaying "Table Agent Ready." A name card on the table reads "ESTUARY." A fork is placed to the left of a white plate, and a blue bag is visible in the background.

A social gathering in a large, elegant room with chandeliers, tall windows, and curtains. People are mingling and chatting near a white bar with various beverages. The atmosphere appears lively and relaxed.

ALT A social gathering in a large, elegant room with chandeliers, tall windows, and curtains. People are mingling and chatting near a white bar with various beverages. The atmosphere appears lively and relaxed.

A group of five people standing together in an elegant room with large windows and dark curtains. There are chandeliers, ornate wall decorations, and a mirror. Some people are holding drinks.

ALT A group of five people standing together in an elegant room with large windows and dark curtains. There are chandeliers, ornate wall decorations, and a mirror. Some people are holding drinks.

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Your data is your biggest advantage when building agentic AI infrastructure for your company. In this new guest post from Mark Van de Wiel (former CTO, Fivetran), he outlines why real-time data is an imperative for effective Snowflake AI architecture. bit.ly/4vubT3v

Real-Time Data Should Be Central to Every Snowflake AI Architecture

Data drives AI. To be accurate, data must be up to date. But how do you know if it is? Read this article to learn about considerations for the use of AI in the corporate world, and why it makes sense...

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Day 1 of #SnowflakeSummit is in full swing! Stop by Booth 1113 to hear the good word about right-time data integration and check out Estuary's new Agent Skills. And grab some swag while you're at it 😎
Estuary booth at a trade show with a display featuring a message about delivering real-time data to Snowflake. A monitor, promotional materials, and branded items like hats are on a table. A person stands nearby, partially visible.

ALT Estuary booth at a trade show with a display featuring a message about delivering real-time data to Snowflake. A monitor, promotional materials, and branded items like hats are on a table. A person stands nearby, partially visible.

Blue baseball caps displayed on a table, each with the text "{ right time }" embroidered on them. Nearby, a small teal sticker that says "HONK if you like right time data".

ALT Blue baseball caps displayed on a table, each with the text "{ right time }" embroidered on them. Nearby, a small teal sticker that says "HONK if you like right time data".

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For JSON unnesting, the depth you choose impacts BI performance, query costs, and the long-term sustainability of the data. Estuary makes this choice easy by letting you control the unnesting depth right at the ingestion stage. Learn more: bit.ly/4uF9UcA
An Estuary blog graphic titled 'JSON Unnesting: Simplifying Complex Data' with an image of a computer screen displaying code in the background.

ALT An Estuary blog graphic titled 'JSON Unnesting: Simplifying Complex Data' with an image of a computer screen displaying code in the background.

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Getting data into @Snowflake is step one, but what you do next determines whether that data drives decisions or just collects dust. Our latest post covers the three layers that transform your warehouse from a destination into functional data architecture. bit.ly/3RitAEk

What to Do After Data Lands in Snowflake: dbt, AI & Reverse ETL

Once data lands in Snowflake, learn how to transform it with dbt, power AI workflows with Cortex, and route it back to operational systems with reverse ETL.

estuary.dev
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.@Snowflake Summit 2026 is just around the corner! Visit Estuary's booth to get a live look at our new Agent Skills. Build, monitor, and debug pipelines directly inside Claude Code, Cursor, GitHub Copilot, and 30+ AI coding assistants. Going? Let's chat: bit.ly/3RlkaI3
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