Real-time applications are going places
Data streaming is the paradigm behind applications that can process data and act upon insights on the fly. Apache Flink, one of the key platforms in this area, is releasing new versions and getting traction. But there may be other players in this game soon, and not the ones you think.
Read More →Elasticsearch 6.0: not that new, but quite improved
Elasticsearch is an open source platform that is about a lot more than just search. It entails a whole stack of solutions and is growing rapidly. Today its new version is out, and its CEO discusses the way forward.
Read More →The future of the future: Spark, big data insights, streaming and deep learning in the cloud
Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.
Read More →Sparkier, faster, more: Graph databases, and Neo4j, are moving on
New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
Read More →A rock and a hard place: Between ScyllaDB and Cassandra
How many NoSQL databases does the world really need, and how easily would you switch your existing solution for a new one? Asking these questions before setting out to build a NoSQL database is a good thing. The people behind ScyllaDB did, and now Cassandra may be between a rock and hard place.
Read More →Keep on Uberin the free world
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Uber is still operating in London, in you case you did not notice. Uber will continue to do so while a legal appeal process that could take a year lasts. What’s more, the fire-fighting statements and apologetic tone adopted by newly appointed Uber top management seem to appease some, including London’s mayor. But to focus […]
Read More →Towards a unifying data theory and practice: Combining operations, analytics, and streaming
We've heard the one data platform to rule them all story before. Could it be this time it's actually true? New Pivotal-backed and Spark-compatible open source solution SnappyData promises so, and we take the opportunity to look inside and around for whys, hows, and options.
Read More →Data lakes going the way of the visual spreadsheet?
If you're a spreadsheet kind of person with a ton of data sitting in a data lake, Datameer's new visual exploration feature may be your thing.
Read More →TigerGraph, a graph database born to roar
Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.
Read More →Insight platforms as a service: What they are and why they matter
The convergence of cloud, automation and collaboration has created a new class of offerings for data driven insights. We take a look at their defining characteristics, featuring analysis from Forrester and commentary from Qubole.
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