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Big Data: Three questions to VoltDB.

by Roberto V. Zicari on February 6, 2014

“Some of our current priorities include: augmenting capabilities in the area of real-time analytics – especially around online operations, SQL functionality, integrations with messaging applications, statistics and monitoring procedures, and enhanced developer features.”– Ryan Betts.

The third interview in the “Big Data: three questions to “ series of interviews, is with Ryan Betts, CTO of VoltDB.

RVZ

Q1. What are your current product offerings?

Ryan Betts: VoltDB is a high-velocity database platform that enables developers to build next generation real-time operational applications. VoltDB converges all of the following:

• A dynamically scalable in-memory relational database delivering high-velocity, ACID-compliant OLTP
• High-velocity data ingestion, with millions of writes per second
• Real-time analytics, to enable instant operational visibility at the individual event level
• Real-time decisioning, to enable applications to act on data when it is most valuable—the moment it arrives

Version 4.0 delivers enhanced in-memory analytics capabilities and expanded integrations. VoltDB 4.0 is the only high performance operational database that combines in-memory analytics with real-time transactional decision-making in a single system.
It gives organizations an unprecedented ability to extract actionable intelligence about customer and market behavior, website interactions, service performance and much more by performing real-time analytics on data moving at breakneck speed.

Specifically, VoltDB 4.0 features a tenfold throughput improvement of analytic queries and is capable of writes and reads on millions of data events per second. It provides large-scale concurrent, multiuser access to data, the ability to factor current incoming data into analytics, and enhanced SQL support. VoltDB 4.0 also delivers expanded integrations with an organization’s existing data infrastructure such as message queue systems, improved JDBC driver and monitoring utilities such as New Relic.

Q2. Who are your current customers and how do they typically use your products?

Ryan Betts: Customers use VoltDB for a wide variety of data-management functions, including data caching, stream processing and “on the fly” ETL.
Current VoltDB customers represent industries ranging from telecommunications to e-commerce, power & energy, financial services, online gaming, retail and more.

Following are common use cases:

• Optimized, real-time information delivery
• Personalized audience targeting
• Real-time analytics dashboards
• Caching server replacements
• Session / user management
• Network analysis & monitoring
• Ingestion and on-the-fly-ETL

Below are the customers that have been publicly announced thus far:

Eagle Investments
Conexient
OpenNet
Sakura
Shopzilla
Social Game Universe
Yellowhammer

Q3. What are the main new technical features you are currently working on and why?

Ryan Betts: Our customers are reaping the benefits of VoltDB in the areas of transactional decision-making and generating real-time analytics on that data—right at the moment it’s coming in.

Therefore, some of our current priorities include: augmenting capabilities in the area of real-time analytics – especially around online operations, SQL functionality, integrations with messaging applications, statistics and monitoring procedures, and enhanced developer features.

Although VoltDB has proven to be the industry’s “easiest to use” database, we are also continuing to invest quite heavily in making the process of building and deploying real-time operational applications with VoltDB even easier. Among other things, we are extending the power and simplicity that we offer developers in building high throughput applications to building modest sized throughput applications.

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Related Posts

- Setting up a Big Data project. Interview with Cynthia M. Saracco.
ODBMS Industry Watch, January 27, 2014

- Big Data: Three questions to Pivotal.
ODBMS Industry Watch, January 20, 2014.

-Big Data: Three questions to InterSystems.
ODBMS Industry Watch, January 13, 2014.

- Operational Database Management Systems. Interview with Nick Heudecker.
ODBMS Industry Watch, December 16, 2013.

Resources

ODBMS.org: Free resources on Big Data, Analytics, Cloud Data Stores, Graphs Databases, NewSQL, NoSQL, Object Databases.

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