Category: stream processing

The Importance of using a Comprehensive SQL Data Management Platform for Stateful Stream Processing

Stream Processing Comparison Blog
Here at VoltDB we have been stressing the importance of utilizing a in-memory data management platform for stateful stream processing as a trend for the future. It seems that now, with the evolution of the 5G era, the market is finally ready for this functionality. New Messaging in the Marketplace: How it Falls Short Vendors [...]

5 Key Questions from our webinar, “Is Your Data Architecture Ready for Microservices?”

VoltDB pre-recorded webinar blog

At our recent webinar, “Is Your Data Architecture Ready for Microservices?”, we received a number of questions from attendees about VoltDB and how it works. From integrating VoltDB with Kafka to running VoltDB in a container, here’s a recap on the FAQs asked during the webinar. For those who missed the webinar, you may view […]

3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing

Stream Processing with VoltDB
Traditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale and stability. However, for most real-life business scenarios in industries such as finance, [...]

VoltDB Announces v9.0

VoltDB Announced v9.0 with Stream Processing
We are hard at work on VoltDB and are pleased to release V9. This release focuses on new ways to work with the torrents of streaming data that VoltDB can ingest, making VoltDB the best technology for real-time intelligent decisions on streaming data. We also improved usability, resilience, and security, because we know that the [...]
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