Four Ways to Visualize Big Streaming Data Now

Every day, the data deluge continues to grow.  From clickstreams and transaction logs to mobile apps and the IoT, big data threatens to overwhelm customers relying on traditional BI tools to analyze it. That’s creating fertile ground for new class of visualization tools that promise to help analysts take action on emerging data streams.

Streaming analytics isn’t new. Stream processing engines like Apache Spark, Apache Storm, Apache Samza, Apache Kafka, and Amazon Kinesis were built to provide the distributed platform upon which streaming applications can be built. But these product lack intuitive user interfaces.  That’s where products from vendors like Zoomdata, Alooma, Datawatch, and Splunk are aiming to make a difference.

Author: Alex Woodie


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