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Tag: OLAP

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…

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…

Kyvos Debuts OLAP for Hadoop

Jun 30, 2015 |

Many technology pros view OLAP as a legacy technology, a holdover from the days of data warehousing that doesn’t have a place in today’s big data world. But several startups are fighting to change that perception, including Kyvos Insights, which today unveiled its OLAP-on-Hadoop solution. Read more…

AtScale Claims to Mask Hadoop Complexity for OLAP-Style BI

Apr 7, 2015 |

AtScale came out of stealth mode today with new software designed to trick business intelligence tools into thinking that Hadoop is a standard database upon which they can perform OLAP-style analysis, as opposed to the huge distributed file system that it really is. 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…

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