Apache Hadoop system specialist MapR Technologies claims it has invented a new system to make sense of all the disjointed streams of real time information flooding into big data platforms. The new MapR Streams system will, it says, blend everything from systems logs to sensors to social media feeds, whether it’s transactional or tracking data, and manage it all under one converged platform.
Stream is described as a stream processing tool that can handle real-time event handling and high scalability. When combined with other MapR offerings, it can harmonise existing storage data and NoSQL tools to create a converged data platform. This, it says, is the first of its kind in the cloud industry.
Starting from early 2016, when the technology becomes available, cloud operators can combine Streams with MapR-FS for storage and the MapR-DB in-Hadoop NoSQL database, to build a MapR Converged Data Platform. This will liberate users from having to monitor information from streams, file storage, databases and analytics, the vendor says.
Since it can handle billions of messages per second and join clusters from separate data centres across the globe, the tool could be of particular interested to cloud operators, according to Michael Brown, CTO at comScore. “Our system analyses over 65 billion new events a day, and MapR Streams is built to ingest and process these events in real time, opening the doors to a new level of product offerings for our customers,” he said.
While traditional workloads are being optimised, new workloads from the emerging IoT dataflows are presenting far greater challenges that need to be solved in a fraction of the time, claims MapR. The MapR Streams will help companies deal with the volume, variety and speed at which data has to be analysed while simplifying the multiple layers of hardware stacks, networking and data processing systems, according to MapR. Blending MapR Streams into a converged data system eliminates multiple siloes of data for streaming, analytics and traditional systems of record, MapR claimed.
MapR Streams supports standard application programming interfaces (APIs) and integrates with other popular stream processors like Spark Streaming, Storm, Flink and Apex. When available, the MapR Converged Data Platform will be offered as a free to use Community Edition to encourage developers to experiment.