Improving SQL Execution – An Intern’s Story
My name is Dinesh Majeti and I am a Ph.D. student from the University of Houston in the field of Computer Science. It is an exciting moment when you start to work in the industry for the first time, especially as a graduate student who worked on a research problem in the lab for a […]
Achieving Immediacy: Operating in a Real-Time World
We recently commissioned a survey of 2, 000 consumers, examining what ‘real-time’ means to end-users and the potential implications of making customers wait. We dug into the various industries where real-time experiences are crucially important: gaming, advertising, telecommunications and banking. And while it was no surprise that consumer patience is short, 71 percent of respondents […]
Using UDF for Machine Learning
We added support for scalar user-defined functions in our recent release, Volt Active Data V7.6. With this feature, users can write their own SQL functions in Java and load them into Volt Active Data. Those functions, once loaded, can be used in all kinds of SQL queries just like any other built-in SQL functions. User-defined [...]
Announcing Volt Active Data v7.7
As summer comes to a close, we’ve posted another monthly Volt Active Data release, now available for download. Volt Active Data v7.7 introduces several features that improve usability and performance. The release adds: the ability to write pure SQL stored procedures with multiple statements, a new data analysis tab in our Volt Active Data Management […]
Comparing Fast Data Performance: A comparison of Volt Active Data and Cassandra Benchmarks
Introduction NoSQL databases, such as Apache Cassandra, are often used in operational applications. However, a new breed of databases, such as Volt Active Data, are revolutionizing the fast data landscape. Volt Active Data is an in-memory NewSQL transactional database for fast data applications, currently in use by major telcos, financial services, and many other markets. […]
What the **** is Translytics / a Translytical Database?
Data is often repeated as the lifeblood of modern business. Companies use data to drive decisions and strategies, as well as run applications based off those decisions (which in turn generates new data for decisions and strategies, which new applications are based off, and so on). Many data stacks can be generalized into having multiple […]
