VoltDB Overview

Building and delivering big data applications today is hard.  Data is not only doubling every year, but it’s also coming in faster than ever before. Staying ahead of the competition depends on your ability to act on fast data in real time. But unrelenting data feeds and millisecond latency requirements make it impossible for traditional approaches to rise to the occasion.

Organizations often try to solve the challenge of making Big Data Fast by cobbling together a mix of databases, data warehouses, analytics and streaming engines. But these legacy solutions were never built to scale for the volume or the rate of today’s big data-fast data challenge.

VoltDB is the only solution architected specifically to meet the requirements of Fast Data. And it is more than up for the challenge. Just ask our customers who use VoltDB to power…

  • Openet’s billing solutions that serve the world’s largest telecommunications providers
  • Airpush’s mobile ad network, the second largest serving Android devices
  • HP‘s real-time personalization services for its Subscriber, Network and Application services
  • Alcatel-Lucent’s IPTV products with interactive experience and rich dynamic content in milliseconds

See how other customers are using the VoltDB in-memory database…


Resources

videos-icon-miniDemo – Sample App: Measuring the Performance of Digital Ad Campaigns
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videos-icon-miniDemo – Sample App: Real-time Operational Analytics on Multiple Streams
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VoltDB is…

Operational Database for High-Performance Applications

  • Write and read millions of data events per second
  • In-memory performance and on-disk persistence
  • Transactions performed in milliseconds

In-memory Analytics

  • Ability to serve large numbers of concurrent users
  • A solution allowing current data to be factored into analytics
  • Query speed needed for interactive dashboards
  • Ability to make automated, per-event decisions based on historical data

Relational, ACID-compliant SQL and JSON

  • Keep complex data management where it belongs
  • Visibility into business via real-time analytics
  • SQL lowers development costs
  • JSON for development flexibility

Modern Distributed Architecture

  • Distributed, scale out system in a shared-nothing configuration
  • Built-in failover and replication
  • Deployment flexibility on bare metal, private cloud or public cloud