Estuary

We’re thrilled to share that Estuary has raised a $17M Series A 🚀 — led by @M13Company with participation from @FirstMarkCap and Operator Partners! We’re unifying batch & streaming into one dependable, AI-ready platform for right-time data movement. 📖 estuary.dev/blog/estuary-r…

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

.@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

Postgres CDC pipelines running you ragged? Join us for a virtual discussion tomorrow where we'll be digging into the good, bad, and ugly, with a Q&A to follow. ⏰ Tuesday, May 12 | 10AM ET Register today: bit.ly/4tRqLsb

Shopping around for a new Snowflake data ingestion tool? Our team put created this checklist as you're exploring options. Keep it handy for that next demo call 😇 Check out the full article for other lessons teams have learned from switching tools: bit.ly/4tixmuu

Join Estuary on May 12 for a virtual fireside chat on Postgres CDC challenges from a pre-sales and production perspective, and a dive into Estuary's Postgres CDC architecture. Q&A session at the end, so come vent your frustrations to us. Register today: bit.ly/4tRqLsb

With Estuary's BYOC deployment, the data plane runs inside your own cloud account. Pair that with PrivateLink and your Snowflake traffic never touches the public internet. Read the full walkthrough to set up PrivateLink with Snowflake: bit.ly/4vW5zTn

Alert subscriptions are here! From your Estuary dashboard, you can now create multiple alert subscriptions, direct notifications to a mailing list, or even route messages to a Slack channel via email. For the full list of alert types, check out our docs: bit.ly/3QzbGwQ

Most Snowflake pipelines are cobbled together with multiple components—CDC tool, message queue, custom ingestion script. Each with a fixed schema. Estuary handles schema evolution as a single automated layer, so a source change never cascades into an opportunity cost.

It makes sense to focus on vendor costs when evaluating options for Snowflake integration, but that's just one piece of the puzzle. In our latest Snowflake ingestion series blog, we dig into hidden costs & how to build a realistic PoC that surfaces them. bit.ly/4mKBOAD

The AI Data Cloud ecosystem is coming to SF 🌉 Visit Booth 1113 at Snowflake Summit 2026 to see how Estuary is partnering with @Snowflake to accelerate the end-to-end data lifecycle & enable dependable data pipelines. 📍June 1–4 | Expo Hall 🔗Register: snowflake.com/summit/

Data engineers spend too much time writing repetitive connectors. Estuary frees up your time so you can focus on data transformation and business application, not ingestion. #DataEngineering #AI #DataIngestion

"Real time vs. batch" is the wrong question to ask when building Snowflake pipelines. Mapping each data stream to the business outcome it serves can create a data ingestion strategy that makes all your stakeholders happy. Check out the full blog: bit.ly/4v5Q3E0

Data pipelines need their beauty sleep too 😴

Hayden AI delivers live camera data to city agencies for transit and violation reporting, but batch processing left their analytics pipeline running 24 hours behind. With Estuary, they cut their data replication lag by 95% and monthly pipeline costs by 60%.

If MotherDuck is in your stack, this one's for you. Estuary's Zulf Qureshi is running a live end-to-end pipeline walkthrough on March 31—CDC sources, transformations, materialization into MotherDuck, and live Q&A. RSVP today! luma.com/o879an89

How do you know if Bring Your Own Cloud (BYOC) is actually the right fit for your data stack? BYOC can be a strong fit for teams that need more control, cost predictability, and performance at scale—without giving up managed operations.

Bad AI outputs are a data problem more often than a model problem. Here's what a stack designed for AI should look like: bit.ly/3NHce2q

Snowflake in reverse? Easy, that's just Ekalfwons. Oh, you meant reverse ETL for Snowflake? Yeah we've got you covered there, too.

Why use a separate vector database when your data warehouse can handle it? Early systems made sense, but warehouses are integrating vector capabilities, making them powerful, free, and open-source alternatives. #AI #DataWarehousing #VectorDB

Did you know Estuary boasts 220+ ETL connectors for databases, data warehouses, SaaS apps, and cloud platforms? Explore our dedicated website for full documentation on real-time and batch data capture: go.estuary.dev/esmi46 #DataIntegration #SaaSConnectors