3+ hour, 22+ min ago   (603+ words) Every database used to own its data, which worked when organizations had one analytics engine. Today's data teams often combine Apache Spark™, BigQuery, Gemini Enterprise Agent Platform, Snowflake (including Snowflake's CoCo and CoWork) and other services depending on the job…...

1+ day, 5+ hour ago   (477+ words) The problem gets worse in decentralized organizations where different business units build their own logic independently on shared data sets, each internally consistent but unaware when their definitions diverge from each other. Here's a summary table of what we'll go…...

1+ day, 5+ hour ago   (362+ words) In this blog series, we organize the capabilities of data platforms into three categories: data interoperability, business logic interoperability and governance interoperability. They all need to be fully interoperable before the lakehouse vision is truly realized. But each has shortcomings…...

1+ day, 5+ hour ago   (269+ words) Enterprise teams are under pressure to deliver trusted data products faster for analytics, self-service BI, and AI. But too often, the semantics that give a model its purpose live outside the model, scattered across documentation, tribal knowledge, and downstream BI…...

1+ day, 5+ hour ago   (671+ words) The benefits of this community-led achievement are concrete: Most major engines can participate today via the REST Catalog spec. That breadth of interoperability didn't exist at this scale before Iceberg. For standard analytics workloads where you control the write side,…...

6+ day, 26+ min ago   (1130+ words) Making data from transactional databases available to analytical databases is an essential part of any modern data architecture. It is also a perpetual battle against fragile tooling, high costs and complex operations. When we started building a Postgres service at…...

1+ week, 1+ day ago   (791+ words) The first generation of enterprise AI focused on building agents. The next generation is about operating them at scale. Cortex Agents have always provided a managed runtime for building AI applications inside Snowflake. Over the past year, we've watched customers…...

1+ week, 21+ hour ago   (155+ words) AI agents make decisions autonomously, but only as fast as the data feeding them. For AI to act in real time, it needs a continuous stream of fresh information flowing without interruption. Snowflake Snowpipe Streaming High-Performance Architecture delivers up to…...

1+ week, 1+ day ago   (606+ words) Many AI engineers building pipelines for unstructured data default to using the most powerful (and most expensive) model for every task. While this approach accelerates prototyping, it often sacrifices efficiency and cost optimization in production. However, as AI adoption matures,…...

1+ week, 1+ day ago   (10+ words) Snowflake...