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Tag: oltp

Actian Stages Comeback With Hybrid Database

Apr 18, 2017 |

Actian Corp., which reportedly dropped out of the analytical database market last fall, is making a comeback with the release of a hybrid database that combines transaction processing with its analytics query engine

Actian, Palo Alto, Calif., this week rolled out its hybrid platform dubbed Actian X billed as a native database that merges the company’s Ingres OLTP database with its Vector X-100 analytics query engine. Read more…

Microsoft SQL Server Supports Linux

Nov 16, 2016 |

Microsoft widened its embrace of the Linux kernel with a preview release this week of its next SQL Server, further extending its business analytics platform to run on open-source distributions. Read more…

Bridging the Gap between Insight and Action

Aug 22, 2016 |

In the past few years, IT leaders and C-level executives have associated ”big data” with looking at historical information with a fresh set of eyes. The concept has been to delve further into transactions retrospectively to identify trends, and draw heretofore unrecognized actionable insights, based on previous events. Read more…

Beyond Titan: The Evolution of DataStax’s New Graph Database

Jun 21, 2016 |

DataStax’s 2015 acquisition of Aurelius–the company behind the TitanDB graph database–was a clear statement about the importance of graph databases to Cassandra customers. Today marks the official announcement of DataStax Enterprise Graph, which the company is counting on to solve a number of operational and analytic problems for its customers, even if the database doesn’t look much like TitanDB anymore. Read more…

HP Spins Out Trafodion to Power Transactional Hadoop

Sep 10, 2015 |

The feasibility of running transactional workloads side by side with analytical workloads on Hadoop got a little clearer this summer when Hewlett-Packard spun out Trafodion, a “webscale SQL-on-Hadoop” solution. The new company behind Trafodion, called Esgyn, has a simple yet bold goal: Read more…

Now and Then: The Evolution of In-Memory Computing

Jul 29, 2014 |

The history of data warehousing, big data, and analytics can be described as a constant challenge to process and analyze ever-increasing volumes of data in shorter amounts of time. Fundamentally, the single biggest factor that affects our ability to process data is the speed at which we can access it, and then do something with it. Read more…

Toward Comprehensive Big Data Benchmarking

Jan 13, 2014 |It’s difficult enough to keep track of the ebb and flow of new tools that span the big data ecosystem, let alone keeping tabs on the latest measures and standards by which to evaluate the influx. While there are standards for a number of specific application areas, architectures, and programmatic approaches, it’s difficult to get a more comprehensive view across solutions and system-wide needs. Read more…

OLTP Clearly in Hadoop’s Future, Cutting Says

Nov 6, 2013 |Think Hadoop is just for analytics? Think again, says Hadoop creator Doug Cutting, who last week predicted that, in the future, organizations will run all sorts of workloads on their Hadoop clusters, even online transaction processing (OLTP) workloads, the last bastion of the relational legacy. Read more…

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