Fivetran delivers enterprise-grade performance and offers speed and reliability at scale, but Stitch’s free plan is a solid pick for startups with lighter data needs.
Even resilient Kafka clusters can fail when entire regions go down. Here's why Kafka-to-Kafka replication is essential for disaster recovery and how to keep your data continuously synced across locations.
Moving Kafka between cloud providers or from on-prem to cloud? Learn why continuous replication beats the "stop everything and migrate" approach. Keep your business running while seamlessly transitioning your Kafka infrastructure.
When comparing Apache Parquet and Apache Iceberg, we need to first understand the differences between file formats and table formats. Parquet is a file format, whereas Iceberg is a table format. File formats focus on efficient storage and compression of data. They define how the raw bytes representing records and columns are organized and encoded on disk or in a distributed file system such as Amazon S3. The Parquet file format has become the de-facto standard for storing data used in analytics workloads.
The robots we imagined in science fiction are no longer fiction. They’re optimizing power grids, managing transportation networks and supply chains, and transforming manufacturing floors. The question isn’t whether AI will reshape these and other industries. Rather, it’s how quickly organizations can bridge the gap between digital intelligence and physical reality to be among those leading the charge.
The strategy is strong, but the insight you need—clear, live, decisive—is missing. It’s buried in dashboards. Stuck in backlogs. Trapped inside tools that promised acceleration, but only slowed you down. We were told things would be different. That self-service would finally work. That AI would bring clarity. That decisions could move at the speed of business. But the promise fell short. You invested in business intelligence. What you got was a backlog.
Why mirror production Kafka data to staging environments? Test safely without risking production. Learn about data subsetting, sensitive data masking, and the emerging pattern that's revolutionizing Kafka testing workflows.
When AI needs to think faster, the architecture beneath it matters more than ever. Val Cook, Chief Software Architect at Blaize, joins The AI Forecast to unpack how today’s AI systems demand more than raw compute, but more adaptable infrastructure. He and host Paul Muller explore the critical intersection of hardware and software, the growing importance of data flow machines, and the limits of traditional architectures in real-time environments.
Apache Iceberg unlocks the complex time travel requirements and intensive data validation needs that Affirm has as a financial company. Iceberg's write-once / read-anywhere paradigm simplifies Affirm’s governance by minimizing existing data sets — ensuring there is only ever one logical copy of a given data set, complete with a validation history, and tag-based time travel watermarks. This presentation recorded at Summit 2025 provides detail on the the way Affirm leverages Snowflake’s Open Catalog to power our Iceberg implementation, solving both operational and analytic challenges in the business.