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…

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

Scaling your data architecture shouldn't condemn you to a life of pipeline maintenance. Estuary simplifies CDC ETL pipelines, combining ingestion, transformation, and delivery into one platform with the hard parts already built in.

Need help getting all your MotherDucks in a row? We've got you. Join Estuary on March 31 for Right-Time Data Integration for MotherDuck. Learn about right-time data, see a live CDC-to-warehouse demo, and get your stack Qs answered. Register today 👉🏻 bit.ly/4bcsbFy

Say hello to Estuary's new VP of Marketing! Meredith Stowe is a seasoned B2B marketing leader with deep expertise, having previously served as VP of Marketing at HVR/Fivetran. We're incredibly excited to have her leading Estuary's marketing efforts as we scale.

DataTune Nashville, we'll be seeing ya this weekend 🤠 Catch Estuary's Jonathan Wihl for his session: Building Right-Time Data Pipelines for AI. Learn how to leverage Estuary's right time pipelines to solve AI time inconsistency problems. Sat. March 7 | 9:15 am CT | Room 412

Looks like we've got a delayed case of the Monday brain today. The link above is for our deprecated Shopify connector. The real updated Shopify connector doc can be found here: go.estuary.dev/9gin6s

E-commerce teams, rejoice. Estuary's Shopify native connector now supports multiple stores in a single capture. 📝 Full connector details in our docs: bit.ly/3ON9b9i

Your organization needs to move Postgres data to Snowflake at scale. Senior engineers are split: build the data pipeline or buy a managed tool. But what if there was a third, more flexible option? The latest from Nam Nguyen: bit.ly/4rr4fod

Introducing Estuary's new PostHog source connector, contributed by our partners at CorrDyn! Capture your product engineering data, like projects, feature flags, events, and more. Check our documentation to get setup 📝 bit.ly/40Emv2a

Traditional data integration: one tool for CDC, another for batch, another for streaming. Estuary: one platform for all three, with no trade-offs between real-time and batch. #DataIntegration #CDC

Estuary is excited to sponsor this year's DataTune Nashville conference and connect with the data community. If you're attending, be sure to join our live session: Building Right-Time Data Pipelines for AI March 7, 2026 | Room 412 | 9:15 am - 10:15 am CST

If you've ever had to manually kill a running query because it was taking down a production database, you know Michael's pain. See how Estuary helped @LOVESPACE modernize their data infrastructure and unlock AI-driven warehouse demand forecasting: bit.ly/46pBbpf

Some data engineers treat GDPR and SOX as items on a checklist, but they represent two fundamentally conflicting design philosophies baked into the same pipeline. The good news: both can be handled in the same pipeline when compliance is treated as a core design principle.

Enterprises have more systems and databases than ever before to manage. The traditional pipeline model no longer makes sense. That's why a dedicated data movement layer is necessary to scale with your data demands.

Have you joined our Slack community yet? Connect with more than 1,700 developers and data engineers, receive timely support from Team Estuary, and share feedback that could shape future features and improvements. bit.ly/4rzAgeE

1️⃣ Public vs Private vs BYOC. 2️⃣ Real-time vs batch. 3️⃣ Kafka-compatible streaming without Kafka. A candid, technical deep dive on right-time data integration from our partners at CorrDyn 👇 estuary.dev/blog/estuary-a…