Analytics
Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical look at Kafka, Flink, Spark, Pulsar, and Redpanda, and why
14. July 2026
Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical look at Kafka, Flink, Spark, Pulsar, and Redpanda, and why
Nine years at Confluent: from a Silicon Valley startup with 100 people to an $11 billion IBM acquisition. A personal reflection on the Apache Kafka
Databricks and Snowflake now speak the Kafka protocol. But using the Kafka API to feed a lakehouse is very different from running Kafka as the
MCP, REST/HTTP APIs, and Apache Kafka are not alternatives. They solve different problems at different layers of the architecture. This article maps the decision: what
The Shift Left Architecture moves data integration logic into an event-driven architecture where governed data products are built once and served to multiple consumers. The
Dashboards are a popular way to make streaming data visible and useful, but they are not always the right solution. This blog post explains when
Mobile World Congress (MWC) 2026 highlights the shift from batch systems to real time data streaming in telecom. AI and agentic automation, network APIs, sovereign
This blog post explores how data streaming transforms airline operations by enabling real-time visibility, faster decision-making, and improved customer experience. Using Qantas as a leading
Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now
Diskless Kafka is transforming how fintech and financial services organizations handle observability and log analytics. By using the Kafka protocol with cloud-native object storage, companies
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