Enable Complex , Real-Time Decision On Your Streaming Data
Build transactional stream processing applications that ensure correctness, serve requests in under 10 milliseconds, and use minimum resources.

Volt enables consistency without sacrificing performance while giving developers a familiar and intuitive way of expressing their logic using SQL and Java.


CORRECTNESS


TIMELINESS


EXPRESSIVITY


ROI
Optimize Kafka Streams at Scale
Apache Kafka works great — until it doesn’t. Kafka is unquestionably a powerful tool for streaming data, but once you start to use it at scale, it runs into issues that many companies don’t have the internal resources to solve. Volt enables you to get the most out of your Kafka streaming by providing high levels of consistency with strong transactional semantics over event streams with high-availability guarantees. In other words — we optimize Kafka Streams for you so that you don’t have to worry about figuring out how to do that yourself.
Handling Streaming Data At Scale
Receiving tens of thousands of events per second is the ‘new normal’. Amazing tools like Kafka have exponentially increased the scale of streaming data but also created complex problems and outpaced companies’ ability to process data in real time. At the same time, many applications now require events to be handled separately, one record at a time, which can overwhelm systems.
The volume and complexity of event-based data entering systems makes it essential to stay up-to-date, as falling behind can quickly become unmanageable.
Simply put: If you can’t keep up with your data, your systems will go down, and so will your applications.


