VoltDB Overview

Building and delivering applications today is hard. Data is coming in fast, and from many sources. What differentiates you from your competition is the speed and intelligence with which you use data to make decisions. But unrelenting data feeds and millisecond latency requirements make it impossible for traditional approaches to rise to the occasion.

Not only does data need to be accurately handled thousands of times a second, but fast in-memory analytics are now table stakes. Sure, operational work is classic transaction processing, but it is also managing sensor data, network packets, call records or click streams. Events and interactions are now part of the corporate data strategy and managing them, optimizing them and acting on them in real time is the challenge.

VoltDB is a database specifically designed for this work. 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 telco 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 our other customers…


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