Estuary

Graphic featuring a quote about a "data movement layer" offering a new perspective on data integration. It emphasizes collecting data once for universal availability. The image includes a logo and a link to read more at estuary.dev/blog.

The image is an informational graphic with the Estuary logo at the top left, labeled "The Right-Time Data Platform." The text provides key takeaways about data pipelines and real-time data processing. It mentions that traditional data pipelines are inefficient, a data movement layer aids in data collection and delivery, Change Data Capture (CDC) helps reduce source database load, and stateful infrastructure prevents data loss.

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.

Join the Estuary Community - Built for Data Engineers Join the Estuary Community and connect with data engineers building real-time pipelines. Get support, share ideas, and shape the future of data.

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. https://bit.ly/4rzAgeE

Estuary: A Pragmatic Look at Right-Time Data Integration Done Right Deployment models (public, private, BYOC), predictable pricing, one-to-many writes, and hard-won lessons from real production migrations.

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 👇

https://estuary.dev/blog/estuary-a-pragmatic-look/

Promotional table featuring folded Estuary shirts, a container of blue and white USB drives, rubber ducks, and various Estuary and MotherDuck-themed stickers spread across a marble surface.

A group of people gathered around a long table with a variety of food platters, including fruits, vegetables, and breads.

A presentation slide titled "Why AI Pipelines Break on Time" by Estuary. The slide features a visual flowchart with components like Postgres (CDC), Kafka, Stream Processing, Warehouse, and Feature Store connected to Google Sheets (Customer Teams), Batch Sync, and Dimension Table. Key points listed include: "CDC events mutate constantly," "Reference data updates out-of-band," "Features drift out of sync," and "AI reasons on mixed-time truth." A note at the bottom states, "AI fails when fast facts and slow context arrive on different clocks."

A group of people is seated indoors, facing a presenter at the front of the room. The presenter is speaking in front of a large screen displaying information about "Estuary," a data infrastructure platform for AI. The setting is a modern conference space with tables and chairs.

We streamed. We queried. We quacked. Thank you to our partners MotherDuck & FirstMark, our hosts, and our engaged attendees for a wonderful data meetup last night in NYC! We hope everyone walked away with confidence to build LLM ready real-time data pipelines.

Escaping the Data Pipeline Maintenance Nightmare: A CTO’s Guide for Data Engineering Success Learn what causes data engineering technical debt, how it impacts the business, and the strategies CTOs can use to reduce it. Improve reliability, cut costs, and simplify your data pipelines.

Technical debt kills in silence.

Your ML model trained on NULL values for 3 days.
Your sales team missed a 15% conversion drop.
Your finance team forecasted on incomplete data.

How CTOs break the cycle 👉 https://bit.ly/3ZwcSCn

Wishing everyone a safe and relaxing holiday today. To all the on-call engineers out there, we see you and we appreciate your hard work 🫡

Promotional graphic for an Estuary 101 event titled 'Right-Time Data Integration for Snowflake.' The event is scheduled for February 13, 2026, at 12 PM EST, lasting one hour and hosted online. The hosts are Dani Palma and Zulf Qureshi. Includes their headshots in separate frames.

We're just several hours away from our Right-Time Data Integration for Snowflake webinar. Learn how to move data into Snowflake with Estuary. Hands-on demo included + Q&A (please only bring easy questions 🙏 )!

Check event details and RSVP here: https://bit.ly/4kDVNjx

A promotional image for an Estuary event titled "Right-Time Data Integration for Snowflake." The event is scheduled for February 13, 2026, at 12 PM EST and will last one hour. It is an online meetup hosted by Dani Palma and Zulf Qureshi. The image includes two hosts in separate circles against a blue background with abstract shapes. Estuary logo is at the top left.

We're just one day away from our webinar! 👀

Learn about right-time data and how our platform integrates with Snowflake to provide dependable pipelines for startups and enterprises alike. If you haven't RSVP'd yet, there's still time: https://luma.com/5mpttyap

Your Snowflake pipeline shows "running" but is it healthy? Throughput drops and data lag don't trigger alarms until it's too late. Monitor what matters with Estuary's OpenMetrics API + Prometheus/Datadog/Grafana.

Check out our new implementation guide: https://bit.ly/4aDtiyV

Streams, Queries & Quacks: A Data Meetup with Estuary & MotherDuck · Luma Streams, Queries & Quacks: A Data Meetup with Estuary & MotherDuck Ever wondered how to turn your company's Slack conversations into an intelligent, queryable…

Have you registered for our Streams, Queries & Quacks data meetup in NYC next week? Call us biased, but it's gonna be a duckin' good time 🦆

This event is nearing capacity, so be sure to register while there's still time: https://bit.ly/4tqqZ9X

A digital badge from Snowflake that says "AI Data Cloud Products Partner" and the Premier level is listed beneath it. Estuary logo's with the tagline "The Right-Time Data Platform" is listed in the upper lefthand corner.

Estuary is now officially a Snowflake Premier Partner! This achievement means that more people are moving more data with our Snowflake connectors. Read the full announcement 👉 https://bit.ly/45PcJgU

🚀 New in Estuary: IBM Db2 Batch connector

Extract Db2 tables on a schedule + load into your warehouse/lakehouse with declarative pipelines.

Check out the docs for more! https://docs.estuary.dev/reference/Connectors/capture-connectors/db2-batch/

Estuary: A Pragmatic Look at Right-Time Data Integration Done Right Deployment models (public, private, BYOC), predictable pricing, one-to-many writes, and hard-won lessons from real production migrations.

Real data integration is about details, not buzzwords.

Our partners at CorrDyn share a pragmatic take on right-time data integration: covering BYOC, CDC, one-to-many writes, and real migration lessons.

Worth a read 👇
https://estuary.dev/blog/estuary-a-pragmatic-look/

2x Faster MongoDB CDC: An Engineering Deep-Dive on Performance Optimization Follow Estuary's process for finetuning connector performance, identifying optimization opportunities, and implementing solutions.

Estuary's engineering team recently updated our MongoDB capture connector, which led to 2-3x faster document processing. Learn how we did it by switching from Go to Rust: https://bit.ly/4r3prRB

A presentation slide titled "Right-Time Data Integration for Snowflake" by Zulf Qureshi from Estuary. It mentions a live event at Snowflake BUILD 2026 and features Snowflake and Estuary logos.

Two individuals are standing at an Estuary booth during an event. They are both wearing matching outfits featuring the Estuary logo. The background includes wooden panels and blue walls.

Today's the day! Estuary is excited to sponsor and present at #SnowflakeBUILD London. Stop by our booth after the session to see how Estuary can simplify your Snowflake pipelines.

This is a promotional image for an online event titled "Right-Time Data Integration for Snowflake" by Estuary. The event is part of the "Estuary 101 Meetup" series and is scheduled for February 13, 2026, at 12 PM EST, lasting one hour. The hosts listed are Dani Palma and Zulf Qureshi.

New webby for Febby: Right-Time Data Integration for Snowflake

This virtual session is for data and analytics engineers, architects, and platform owners who want fresher data with fewer moving parts. RSVP here: https://luma.com/5mpttyap

A venue map for the Snowflake BUILD London 2026 event. Estuary's booth is circled in red in the top left quadrant, with a red arrow pointing at it and the text "Estuary's booth" labeled above.

Going to Snowflake BUILD London next Tuesday, February 3? Swing by our booth (marked ever so elegantly below) and say hi 👋

Graphic announcing the new Estuary Connector, titled 'Introducing the RingCentral Source Connector'. Information on further details available at docs.estuary.dev.

Estuary's latest source connector is here! Capture data from RingCentral into Estuary collections, with the following streams available:
- User Call Log
- Extensions
- Internal Contacts
- External Contacts
- Messages

Full documentation for more deets on getting setup: https://bit.ly/4k6zJOc

POV: someone decided to change customer_name in the source database to customerName

Image featuring a quote by Scott Vickers, CTO of Headset, praising Estuary for significantly improving their data infrastructure reliability.

After Headset, a leading cannabis market intelligence platform, faced challenges with other data integration tools, Estuary helped them save 40% on overall Snowflake compute costs: https://go.estuary.dev/headset

Promotional image featuring logos of Estuary and Snowflake, announcing Estuary as a sponsor for Snowflake BUILD 2026. The text reads "Right-time data pipelines for Snowflake. One pipeline. Built for streaming and batch." Visual background includes vertical gradient stripes varying from dark to light blue.

Promotional graphic for a presentation titled "Right-Time Data Integration for Snowflake," featuring Zulf Qureshi from Estuary. The event is live at Snowflake BUILD London 2026.

We're sponsoring and presenting at Snowflake BUILD 2026! ❄️ ❄️

February 3 in London: See how teams use Estuary to build right-time data pipelines for Snowflake, unifying batch, CDC, and streaming in one platform.

BYOC for Data Infrastructure: Why Deployment Flexibility Matters Bring Your Own Cloud (BYOC) lets enterprises run managed data platforms in their own cloud for better cost control, compliance, and performance at scale.

BYOC: The future of enterprise data control 🚀

Enterprises want to:

- Run vendor software in your infrastructure
- Keep data under your control
- Maintain compliance & reduce costs

Estuary puts BYOC and gives you the best of both worlds.

https://estuary.dev/blog/byoc-for-data-infrastructure/

Happy New Year!

2025 was about shipping real improvements: more connectors, faster pipelines.

Next: a much bigger connector ecosystem, faster materializations, deeper visibility, tighter BYOC security, a cleaner UI, and AI that actually helps you get work done.

More to come.

Glossier’s operations team needed real-time visibility into inventory, shipments, and purchase orders.

With Estuary, Glossier finally unlocked real-time ERP data and sends it straight into Snowflake.

Full story below ↓

Building Real-Time ELT Pipelines with Estuary and Coalesce Stream PostgreSQL CDC data into Snowflake with Estuary and transform it with Coalesce. Learn how to build a real time ELT pipeline with staging, dynamic tables, and Cortex AI.

E-commerce teams still running on batch data?

That lag hurts.

Estuary + @Snowflake + Coalesce deliver right-time data with real-time CDC, automated transforms, and AI-driven insights.

Operate ahead, not behind.
https://estuary.dev/blog/build-elt-pipeline-with-estuary-and-coalesce/

Before Estuary, Glossier had to think twice before turning on a new data flow.

With Estuary’s simple pricing model, Glossier cut data integration costs by 50%, especially across their two most expensive sources.

See how they did it: https://estuary.dev/success-stories/glossier/

Right-time Data Integration for Snowflake · Luma Hosted by: Dani & Ben Rogojan (Seattle Data Guy) Choosing the right ingestion strategy for Snowflake can dramatically influence your latency, cost, and…

⏰ Happening today!

Live webinar: Right-Time Data Integration for Snowflake

Register here → https://luma.com/ls6xaocp

Most Snowflake teams are overspending on ingestion by 2–5×. Our new guide shows why, and how to fix it.

👉 The Complete Right-Time Data Integration Guide for Snowflake

https://go.estuary.dev/snowflake-ingestion-guide

This Thursday: Right-Time Data Integration for Snowflake

Learn the tradeoffs between batch, micro-batch, serverless & real-time: and when each one actually makes sense.

Register: https://luma.com/ls6xaocp?utm_source=estuary_social
📅 Dec 11 · 12 PM EST

From Data Fragmentation to AI Readiness: A CDO's Playbook AI adoption fails without a trusted data foundation. Learn how CDOs in 2025 can build AI-ready data pipelines with real-time ingestion, governance, and Estuary Flow.

AI adoption starts with a solid data foundation. But many enterprises aren't ready.

Fragmented, stale, or inconsistent data undermines AI initiatives before they even begin.

Read more: https://estuary.dev/blog/ai-readiness-for-cdos/