Estuary

Over the past two years, I've been fortunate enough to partner with a lot of great people and companies. One of those companies that continues to?impress me is Estuary Early on it was just having them come in and make one of my clients life easy. David Yaffe and his team spent a lot of time building custom connectors and other features to meet the clients needs. They then continued to support and answer questions beyond that. Since then, they have been developing not only features but also amazing partnerships with a lot of other companies and people like Brooklyn Data (Velir's data studio) Database Tycoon Mike Lee StarTree Tinybird?Coalesce.io, and just recently I saw some great content coming from them and MotherDuck! It really has been an awesome experience, and seeing so many happy customers two years later, I believe, speaks volumes.

Wanna see Estuary in action? Wanna see MotherDuck in action? Wanna see BOTH in action at the same time? We're doing a live demo at 2 PM EST today (link in comments) We're gonna showcase analytics using a real-time change data capture pipeline and demo how easy it is to actually build one, so if you were ever interested, now is the time to take a look!

#Salesforce is one of the more complex services to extract data from in real-time, so we're really excited to announce that we just shipped a brand new connector for it with some major improvements: ? Parallel backfills across tables are extremely fast ?? Optimized usage across Salesforce endpoints to reduce API credits required = cost savings ? Formula fields are automatically refreshed at a cadence that you can choose ?? Custom fields will use our robust schema inference to ensure we always represent them correctly

BigQuery continuous queries?operate continuously processing SQL statements, allowing companies to analyze, transform, and replicate data in real time as new events arrive in BigQuery. They use familiar SQL syntax to define the data analysis and can handle large volumes of data efficiently. Companies can synchronize their data immediately as it reaches BigQuery and push that data via?Estuary?to the downstream applications and tools after enriching the data as they need it. This unlocks real-time use cases powered by data in BigQuery, such as immediate personalization, anomaly detection, real-time analytics, and reverse ETL, etc. By Daniel Palma Jobin George Rob Meyer https://lnkd.in/gbJ_5mTP

Want to stream data from your transactional database directly into a fast, serverless analytics engine? Join Estuary and MotherDuck for a live demo. We’ll build a real-time Change Data Capture (CDC) pipeline, step-by-step. You'll learn how to easily sync live data using Estuary’s real-time platform and instantly query it with MotherDuck’s scalable, #DuckDB-powered data warehouse. If you're modernizing your data stack or focused on speed and cost-efficiency, this session is for you. Sign up now! Link to event in the comments ??

Wanna win $3000? Listen up. Tinybird Forward just launched, so we're running a hackathon. Winner gets over $3000 in credits from Vercel, Tinybird, Resend, Dub.co, Plain, Blacksmith, Estuary, Knock, Trigger.dev, LocalStack, and Bucket. But the rules are a bit... interesting... ????

As Python is one of the most popular programming languages for data engineering, PyIceberg offers a convenient and accessible way to work with Iceberg. It provides a simple and intuitive API that allows developers to create, read, update, and delete data in Iceberg tables and perform schema evolution and partitioning operations. With PyIceberg, you can leverage the power of Iceberg's features without the complexity of setting up and managing a distributed processing cluster. This makes it ideal for Python developers who want to integrate Iceberg easily into their data pipelines and applications. by Daniel Palma https://lnkd.in/gmwGyvxd

Interested in moving data into Microsoft #Fabric? Check out this video for a quick tutorial and get started in just a few minutes using our no-code pipelines: https://lnkd.in/dqzK6STd

We've just upgraded our #Iceberg connector! 1?? It now integrates with various new REST Catalogs, such as Apache Polaris and the Snowflake Open Catalog. 2?? Highly requested feature: The connector can now execute MERGE queries into your Iceberg tables, allowing you to have exact replicas of your source data that are updated in real-time. ?????? Read the full release announcement in the comments ??

When your data pipeline costs more than it should—and still doesn’t work right. Headset, a leading data and analytics company, needed a cost-effective, reliable way to move data from SQL databases into #Snowflake. ?? They tried one tool: costs kept climbing. ?? They switched to another: syncs lagged, records went missing, warehouse costs spiked. Then they tried out Estuary. ? 40% lower Snowflake compute costs ? 100% data integrity. No more missing records ? Near real-time ingestion instead of unpredictable job runtimes ? Reliable support & seamless experience The results speak for themselves: No more firefighting data pipeline issues. Just real-time, accurate analytics. Scott Vickers, CTO at Headset, put it best: "Estuary has been a game-changer for Headset’s data infrastructure. Compared to our previous solutions, it has dramatically improved reliability while reducing our overall costs significantly. The real-time ingestion capabilities ensure that our analytics are always powered by the freshest, most accurate data without the operational headaches we faced before." ?? Read the full story in the comments.