Data.world: The importance of linking data and people
Notepads, graphs, data lakes, collaboration, and data manifestos. Data.world has an interesting blend of philosophy and technology going on — and it all converges around one thing: Facilitating data-driven analysis by making it a team sport.
Read More →DataTorrent: Hard code around streaming data philosophy in 90 days
We give you streaming data applications in 90 days, no matter what. And we'll do anything, including building on our closest competitor's engine, to deliver.
Read More →Reflect: Embedded meta analytics, built for developers
Cloud-based analytics for on premise data, an API-first approach for embedded product analytics, and impact-based pricing. Meet Reflect.
Read More →HarperDB: An underdog SQL / NoSQL database
HarperDB flies in the face of conventional wisdom in a number of ways. But does the world need another database?
Read More →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 →Who’s automating the enterprise? Meet Amelia and the future of work
Imagine all enterprise functions automated by software and performed through a single point of access, which happens to be a virtual agent with cognitive capabilities. You can stop imagining and start thinking about the repercussions, because this is much closer than you may think.
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 →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 →Sparkier, faster, more: Graph databases, and Neo4j, are moving on
New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
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