Putting Fast Streaming Data to Work
As the volume and velocity of data grows, so do the challenges of building fast data applications. The fast data stack is emerging across both verticals and industries alike for building applications that process these high velocity streams of data that quickly accumulate in a big data lake.
This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions and analyses in milliseconds. Over the next several years this emerging fast data stack will gain prominence and serve as a starting point for developers writing applications for streaming data.
An ACID-compliant operational database like VoltDB, in combination with message queues like Kafka or Kinesis for data ingestion and export, can process each incoming event or request as a discrete transaction for analytics, decisions and real-time action or interaction.