Topic: Stream Processing

This big data technology lets users query a continuous data stream and detect conditions — within a few milliseconds to minutes — after receiving that data (i.e. flow of events); processing data in motion, or computing on data directly as it’s produced or received. 

Hortonworks Provides Needed Visibility in Apache Kafka

As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager

Arcadia Data Now Gets Kafka Users Up In an “Instant”

Arcadia Data's new Arcadia Instant for KSQL will allow Kafka users to get up and running quickly on streaming data

Glassbeam to Integrate Apache Kafka into Its Industrial IoT Analytics Platform

Organizations will be able to develop and deploy Apache Kafka applications without the need to lock in their data with

Streaming Analytics Basics: Kafka, Spark, and Cassandra

The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and

Confluent Now Offers Apache Kafka as a Service with Confluent Cloud

Developers can focus on building streaming applications with Apache Kafka, while the Confluent team handles Kafka

Confluent: Apache Kafka Use Accelerates

52% of organizations have at least 6 systems running

Datawatch Adds Spark, Kafka Support With Panopticon

Update is designed to bring faster analytics to the trading, risk and compliance