Enterprises are being deluged with real-time data from a variety of sources, including web and mobile apps, IoT, market data and transactions. In theory, this should provide a wealth of information ...

Today's data architectures operate in a split world. Streaming data lives in Kafka or Pulsar. Analytics lives in the lakehouse like Databricks, Snowflake, or data lake platforms. Connecting the two ...

Explore the hidden costs of real-time data pipelines and learn why latency, data freshness, correctness, and recovery matter ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...

Confluent now enables customers to get real-time data however and wherever they need it—on prem, in the cloud or BYOC MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Confluent, Inc. (NASDAQ: CFLT), the data ...

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't ...

Data streaming is the continuous transfer of data from one or more sources at a steady, high speed for processing into specific outputs. Data streaming is not new, but its practical applications are a ...

New architectural paradigm makes streams first-class lakehouse primitives; Ursa For Kafka delivers up to 95% cost reduction as the first proof point StreamNative, founded by the creators of Apache ...