Streamlio, an open-core streaming data fabric for the cloud era
Apache Kafka replacement and beyond. This is open-core Streamlio's claim to fame, and today's announcement of a managed cloud service brings it one step closer to reality.
Read More →Confluent shows open source, paradigm shifts, cloud, and commercial success can all co-exist
Confluent just became a unicorn. We discuss why, what happens from now on, and how this is significant for the entire data ecosystem and the world at large with CEO Jay Kreps
Read More →Alibaba Blinks: Building an open source, data-driven cloud empire in real-time
Acquiring data Artisans, the vendor leading development of open source Apache Flink framework for real-time data processing, is the latest move from Alibaba. Where does this fit in Alibaba's strategy to grow its cloud?
Read More →Real-time data processing just got more options: LinkedIn releases Apache Samza 1.0 streaming framework
Samza is now at near-parity with other Apache open-source streaming frameworks such as Flink and Spark. The key features in Samza 1.0 are SQL and a higher level API, adopting Apache Beam. What does this mean for this space, and how do you choose?
Read More →Processing time series data: What are the options?
Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with it? Worry not, because there's a bunch of options.
Read More →The past, present, and future of streaming: Flink, Spark, and the gang
Reactive, real-time applications require real-time, eventful data flows. This is the premise on which a number of streaming frameworks have proliferated. The latest milestone was adding ACID capabilities, so let us take stock of where we are in this journey down the stream — or river.
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 →Big data, crystal balls, and looking glasses: Reviewing 2017, predicting 2018
It's this time of year again, when crystal balls meet data. Here's what's kept the data world busy in 2017, and will most likely continue to do so in 2018.
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 →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.
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