Today, the way companies are leveraging data has changed. The world has moved from static stores held in databases to adding dynamic and event-driven data in flight. The driver of this dynamic is ...

Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

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Azure users can now deploy Cribl Stream’s data routing and processing on the Azure platform to better manage IT and security data in the cloud. Data processing platform developer Cribl is extending ...

The data and AI platform developer is now marketing its new Zerobus Ingest software as an alternative to legacy message-based software for real-time and near-real-time data movement. Databricks is ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

If you’ve ever checked online to see whether your local big box store has the item you need in stock or ordered a product you saw on social media straight through the app, you’re already aware of how ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...