Kafka: The story so far
Hard problems at scale, the future of application development, and building an open source business. If any of that is of interest, or if you want to know about Kafka, real-time data, and streaming APIs in the cloud and beyond, Jay Kreps has some thoughts to share.
Read More →Graph databases and RDF: It’s a family affair
RDF is a graph data model you've probably either never heard of, or already dismissed. Why is that, could there be value in it, and how does it differ from the most popular graph data model out there?
Read More →The continuing rise of graph databases
Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and opinions from Cloudera, DataStax, and IBM.
Read More →How to use blockchain to build a database solution
Why would you want to use blockchain to build a database solution? And how would you actually do that? BigchainDB has answers.
Read More →MarkLogic, dual-wielding its way through transactional and analytical workloads
Is dealing with transactional and analytical workloads in a single database a pipe dream? Not according to MarkLogic, which has its own way of taking on both.
Read More →Indexing Hadoop: If it’s so simple, how come not everyone’s doing it?
Is Hadoop really the best thing since sliced bread? You’d probably get this idea, if you have been talking to any of the (proliferating) Hadoop advocates / vendors. Hadoop and its expanding ecosystem are being touted as the ideal solution to any organization’s data management needs – and admittedly, for good reason. Hadoop offers a […]
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