Are you struggling to figure out a way to quickly capture and process streaming data? Well, you don't have to struggle anymore. Fast data is unique and requires a different approach. VoltDB is an in-memory, scale-out, SQL relational database designed to handle fast data volume at the rate of hundreds of thousands to millions of events per second while making transactional decisions against state with a familiar and proven programing model.
Peter Vescuso, VoltDB’s Chief Marketing Officer, discusses the telecommunications industry and where VoltDB excels.
In this VoltJolt video, Chris Wright, co-founder and CTO of deltaDNA, discusses how the ability to make real-time decisions creates a win-win for gaming organizations. Micro-personalization means that players benefit from a better game – while developers and publishers benefit from loyal players and improved revenue.
Ryan Betts, VoltDB’s Chief Technology Officer, speaks on today’s Big Data, Fast Data challenge.
Ryan Betts, VoltDB’s Chief Technology Officer, speaks in-depth about VoltDB’s architecture.
Peter Vescuso, VoltDB’s Chief Marketing Officer, speaks about the Internet of Things, Big Data, Fast Data, and what VoltDB offers.
This is insight straight from the source! Professor Michael Stonebraker of MIT, co-founder of VoltDB and “father of the modern relational database” explains why traditional database wisdom is outdated – and why the “elephants” will be left behind.
In this VoltJolt video, VoltDB co-founder and Chief Strategy Officer Scott Jarr talks about the power of data that is both fast and relevant.
Shane O’Flynn, Openet’s Global Vice President of Product and Solution Management talks about choosing VoltDB to meet the challenges CSP’s and Telco companies face moving to virtualization and the cloud.
Today, organizations of all types are trying to gain a competitive advantage or become more effective by devising new ways to identify and act on fast-moving, valuable data. This is what drives the Big Data trend -- by ingesting and analyzing large volumes of a variety of data, organizations hope to be able to find and act on every single piece of data at a point of maximum value. And to date, there has been an enormous amount of frustration in this quest because these same organizations have not been able to achieve the velocity required to act on data at anything approximating the point of maximum value: real time. Their database systems are simply too slow at data ingestion, analysis and decisioning. VoltDB solves this critical velocity problem. It is an in-memory relational database that combines high-velocity data ingestion, massive scalability, and real-time analytics and decisioning to enable organizations to unleash a new generation of applications that act on data at its point of maximum value. Organizations in markets ranging from financial services and media, to energy and telecommunications, use VoltDB's operational database to narrow the "ingestion-to-decision" gap from minutes, or even hours, to milliseconds. That, in any line of work, is a big deal.
Bruce Reading, President and CEO, speaks about the Smart Revolution, fueled by an unprecedented amount of Big and Fast Data. Dr. Michael Stonebraker envisioned this revolution, and set out to create VoltDB, an in-memory database capable of processing millions of transactions per second.
Check out VoltDB customer Emagine International. Their CEO David Peters, talks about how Emagine's real-time decisioning platform enables his Communication Service Provider (CSP) customers to capitalize on massive amounts of data in real time. With VoltDB, Emagine's CSP customers achieve personalized interactions, increased profitability and most importantly, a competitive advantage.
“Big data” data management – driven by mobile, smart grid infrastructure, telco and integrated retail – generates data faster than legacy, disk-based systems can ingest, analyze and decision. Meanwhile, the declining cost of DRAM and the continued emergence of fast flash technologies makes in-memory big data processing affordable. It is a perfect combination of business need and technology. Operational data stores are moving in-memory – changing the way we think about data management and broadening the possibilities for real-time, customer-focused applications. In this talk, Ryan discusses emerging trends driving new in-memory OLTP technologies and presents VoltDB’s view of the very-near future of the operational database.
During NYC Database Month, Ryan Betts reveals what excites him most about VoltDB.
Watch VoltDB’s Dr. Michael Stonebraker of MIT, UC Berkeley, and Ingres and Postgres fame present the founding principles of solving modern data-velocity problems. Adding to the lessons learned throughout Dr. Stonebraker’s 40-year career in database research are VoltDB’s own VP of Market Strategy, Mark Hydar, and Co-founder, Scott Jarr.
Watch VoltDB’s Dr. Michael Stonebraker of MIT, UC Berkeley, and Ingres and Postgres fame present the founding principles of solving modern data-velocity problems: “Data is growing faster than hard drives,” “Move the computation to the data, never move the data to the computation,” “Bet on main memory because there’s no other way to go fast,” and “Run transactions to completion, and you eliminate locking and multithreading” – These remarks are central to his beliefs.
FLOSS Weekly provides interviews with prominent evangelists and developers in the Free, Libre, and Open Source Software movement. In Episode 149, FLOSS Weekly’s Randall Schwartz and Dan Lynch interview VoltDB’s John Hugg about technology, licensing and open source community development. The interview extensively explores VoltDB’s ability to handle massive data throughput requirements, and focuses on early use cases and customer applications.
John Hugg presents on the VoltDB architecture for the Cloud Scale Data Science virtual Meetup on May 6. 2015
Presented by John Hugg. In 2007, researchers at MIT, Brown & Yale set out to build a new kind of relational database called H-Store. Commercially developed as VoltDB, it was suddenly possible to build applications that did millions of transactional operations per second at very low cost and with high fault tolerance. While suitable for micro-payments and other high volume, traditional transactional work, many early customers built systems for stream processing. As the product evolved, more and more features were added to support streaming, event processing and ingestion workloads, including materialized views, Kafka ingestion and push-to-HDFS data migration. This talk will explain, through customer use-cases and some development backstory, how the H-Store/VoltDB architecture compares to CEP systems and newer streaming architectures like Storm and Spark Streaming.
VoltDB developer John Hugg provides a demo of his Unique Devices application. It's 30 lines of code that can save you weeks/months of development and deliver a faster, simpler app. Try if for yourself. Download the app here and test it out: http://voltdb.com/community/applications
Go behind the scenes with John Piekos, our VP of Engineering, to learn more about the VoltDB software development process.
Meet Ruth Morgenstein – our Manager of QA and Support – and get the inside scoop on the QA process at VoltDB.
VoltDB engineer and performance guru Ariel Weisberg can walk the walk and talk the talk. Check out this video from the recent NYC MySQL meetup – Ariel covers everything you need to know about building wicked fast, super-scalable apps with VoltDB. The best part? It’s easy.
Analyzing big data with Hadoop has become a de facto standard procedure in the recent years. When it comes to real-/neartime analysis, there are still new challenges arising, e.g. processing many small data (events) and providing the result in near time without having the need for high-end storage infrastructure.