I recently met with a bunch of Volt Active Data customers. These are companies in the business of data and developing the next generation of applications – they are at the forefront of an economy driven by data and the datafication of just about everything. When I talked with these customers, I was struck by […]
Introducing Geospatial Capabilities in Volt Active Data v6.0
As part of our 6.0 release, we’ve added new data types and functions that let you work with geospatial data in your applications. If you care about where things are in the real world and how they relate to each other spatially, we have some new features that will help you out. The New Data […]
Introducing Volt Active Data v6.0
Volt Active Data is already the go-to product for developing fast data applications because of its unparalleled performance, availability, and durability. v6.0 builds on that foundation by extending existing capabilities and simplifying the development process. What does a Volt Active Data application look like? Some of the characteristics are: Applications ingest and process lots of […]
Fast Data Recipe: Design Data Pipelines
Processing big data effectively often requires multiple database engines, each specialized to a purpose. Databases that are very good at event-oriented real-time processing are likely not good at batch analytics against large volumes. Here’s a quick look at another of the Fast Data recipes from the ebook, “Fast Data: Smart and at Scale” Ryan Betts […]
Openet uses fast data to drive down TCO and support mobile data in real-time
Openet, a leading independent supplier of real-time business support systems (BSS), ensures that more than 600 million mobile telecommunications users around the world enjoy the best network and data experience while enabling mobile operators to monetize data use in real-time. In late 2012, Openet began evaluating potential replacements for its database infrastructure, primarily to drive […]
Fast Data Recipe: Integrate Streaming Aggregations and Transactions
In the Volt Active Data ebook, “Fast Data: Smart and at Scale,” Ryan Betts and I outline what we have found, through years of work and collective experience, to be tried-and-true design patterns and recipes for fast data. High-speed transactional applications or operational applications that process a stream of incoming events are being built for […]
Comparing Cloud Performance With YCSB
Introduction Last year we published YCSB benchmarks that compared IBM SoftLayer with Amazon Web Services. This generated a lot of interest from lots of different folks in the cloud community. There was so much interest we decided to do it again with more platforms. We reached out to an independent benchmarking enthusiast, Tim Callaghan from […]
How we Test at Volt Active Data
When you evaluate a database to use in your application stack, you usually look at the features, the performance, the price, and the fit. You take for granted that the data is correct, that the features work as documented, and that the resiliency of your distributed database meets the promises made by the marketing team. […]
Accelerating continuous integration with Docker – an intern’s story
Continuous integration (CI) has become a fundamental process in many software-based companies in recent years. Fortunately, frameworks such as Jenkins do most of the heavy lifting and make it flexible for the engineering team to examine and improve the process. With the increasing popularity of lightweight virtualization, CI has begun to embrace technologies like Docker. […]
An intern’s experience with Volt Active Data Materialized Views
My name is Yiqun Zhang and I worked as a software engineering intern on the SQL core team at Volt Active Data during the summer. The experience of working with so many smart and talented people was so much fun. I was proud to be part of the team. My work focused mainly on the […]