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Millions of Database Operations Per SecondThe volume and velocity of data are exploding, fueled by social applications, sensor automation, mobile networking, and other data-intensive forces. Moore's Law signals massive data tier scale-outs as networks and servers become faster and less expensive. Enabling those scale-outs is a new generation of relational DBMSs, led by VoltDB, designed to exploit networked and virtualized computing environments. VoltDB provides the throughput, scale and accuracy needed to handle high velocity data applications. |
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One Size Does Not Fit AllRelational DBMSs are the workhorses of IT, powering a huge installed base of operational systems worldwide. In the past several years, however, data velocity and volume have become so vast that general purpose RDBMSs simply cannot keep up (and they make the costs of keeping up prohibitively high). In response, data infrastructures are evolving rapidly toward specialized database engines that are designed to handle specific workloads and operations; and they do so orders of magnitude faster than general purpose database systems. VoltDB is a specialized engine designed to handle an increasing range of high velocity data applications. Its shared nothing scale-out architecture allows VoltDB users to leverage inexpensive, virtualized computing infrastructures, including popular cloud service platforms. |
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A View Through the Looking GlassIn 2008, a team of researchers led by Mike Stonebraker published a seminal paper in the ACM SIGMOD entitled "OLTP Through the Looking Glass, and What We Found There". The paper exposed key sources of processing overhead that plague disk-based RDBMS products, and concluded that removing those overheads and running a database in main memory would yield orders of magnitude improvements in database performance. Along with other noteworthy research of that period, Through the Looking Glass signaled a sea change of thinking around in-memory transactional systems. |
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From Academic Prototype to Professional ProductVoltDB is the productization of the H-Store academic research project, a collaboration of senior computer scientists from MIT (including Mike Stonebraker), Yale University and Brown University. The original H-Store team also included a senior engineer from Vertica, Inc. named John Hugg. Informed by a wealth of timely research, H-Store's objective was to deliver a natively scalable, fault tolerant RDBMS prototype that would run wildly faster than its general purpose counterparts. That objective and many others have now been realized and are at the core of VoltDB database products. Today, Mike Stonebraker is VoltDB's CTO and John Hugg is a senior engineer on VoltDB's R&D team. |
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| If you are new to VoltDB, we invite you to explore the following resources. Many users have found it helpful to begin with an introductory white paper or webinar (options 1 & 2). If you're ready to download software, choose option 3 for our Downloads page, and don't forget to also download a copy of Getting Started with VoltDB from the Documentation section. If you need help, options 4 & 5 will get you to our forums or put you directly in touch with someone on our team. We are here to assist you quickly and efficiently. |









