Estuary

Estuary is headed to Nashville! We're excited to sponsor this year's DataTune Conf and connect with data professionals and innovators. And hopefully enjoy some warmer weather for a change 🥶 Catch our own Jonathan Wihl (Solutions Engineer) for the live session: Building Right-Time Data Pipelines for AI. Learn how to build reliable, LLM-ready data pipelines that keep your AI applications fed with fresh data, no batch jobs required. March 7, 2026 | Room 412 | 9:15 am - 10:15 am CST There's still time to grab a ticket and join us: https://datatuneconf.com/

A monolithic SQL Server doing double duty as your operational database and analytics engine is a ticking time bomb. LOVESPACE knew this, but knowing and fixing are two different beasts. By partnering with Estuary, here's what that fix looked like: ✦ Real-time pipelines replaced daily batch loads → 10x faster data availability ✦ Analytical queries moved entirely off the operational database into Snowflake ✦ dbt went on top for version-controlled, reproducible data models ✦ Manual, error-prone processes replaced with fully automated pipelines With clean, right-time data flowing into Snowflake, the team could ship their own custom transaction tracking system and implement AI-driven forecasting models to predict warehouse demand for peak season planning. Bye bye, data bottlenecks. Peep the full case study 👉 https://lnkd.in/gRWX3tP3

The data landscape is experiencing a ton of uncertainty in the face of AI and stack consolidation, but that often precedes some of the greatest transformation. Our CEO and Co-Founder, David Yaffe, sat down with our friends at Database Tycoon LLC to talk about these changes and how companies can adapt, as well as how Estuary is preparing for another momentous year of growth. Check out the full interview linked in the post below!

GDPR and SOX requirements demand different pipeline architectures, logging strategies, and approaches to data retention. One tells you to forget. The other tells you to remember everything. The good news: both can be handled in the same pipeline when compliance is treated as a core design principle, not an afterthought. 👉 Full walkthrough with working code examples: https://bit.ly/4kZRSOg

In the days of yore, data pipelines fulfilled a simple need: move data from point A to B. But the SaaS explosion has added complexity to data movement. Businesses have more systems and databases than ever before to manage. For enterprises, traditional pipeline designs quickly scale out of control in this kind of environment, overwhelmed by the sheer number of required connections as the system grows. In her latest article, Nevenka Lukic dissects this pipeline trap and offers an alternative for enterprises: a data movement layer that sits between all data sources and data consumers, and delivers durable, right-time data across analytics and operations. Grab the link below 👇

It's your data, so why shouldn't you have full control of it? That's at the heart of our right-time data philosophy. Different jobs require different latencies, and those requirements rarely stay static. Every business decision comes with its own urgency. The truth is that the right time depends on the task at hand. Your data team shouldn't have to make concessions. Latency should be as easy and granular as turning a dial. Or adjusting the shower water to be juuuuust a little bit hotter. Or adding one more pinch of salt to the sauce (Italian self-insert from Mr. Marketer, sorry) before it's ready. Don't let your architecture be the antagonist of your business's story.

Tune up your data and tune into the latest Data Flow Digest! We discuss: 🗓️ Latest and greatest events with Estuary 🎥 Replays on recent webinars and podcasts 🔌 New connector updates and more

Have you joined our Slack community yet? Connect with over 1,700 developers and data engineers, receive timely support from Team Estuary, and share feedback that could shape future features and improvements. Discover how others are building right-time data pipelines with Estuary. After all, the most useful insights tend to come from practitioners comparing what's working in real environments. Join the party today 👉 https://lnkd.in/ddaBd4qa

“We wish we’d had this for our last migration.” In this partner-written deep dive, CorrDyn walks through two real customer stories: - A multi-terabyte, compliance-heavy database migration where custom tooling was unavoidable - A healthcare CDC implementation where Estuary turned a complex problem into configuration It’s an honest look at what right-time data integration actually means in production: - When real-time matters: and when it doesn’t - Why BYOC and private networking change the compliance conversation - How capturing once and materializing many times simplifies everything downstream Written by practitioners, not marketing. 👉 Read the full article: https://lnkd.in/d5qeEJ6T