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Tag: in-memory

Arrow Aims to Defrag Big In-Memory Analytics

You probably haven't heard of Apache Arrow yet. But judging by the people behind this in-memory columnar technology and the speed at which it just became a top-level project at the Apache Software Foundation, you're goni Read more…

Pentaho Eyes Spark to Overcome MapReduce Limitations

Pentaho today announced it's supporting Apache Spark with its suite of data analytic tools. While supporting Spark gives Pentaho performance advantages over MapReduce when executing data transformations and running queri Read more…

Five Answers for Finding Bigger Insight from Your [Big] Data

When General Electric CEO Jeff Immelt spoke at a GE users summit late last year on the topic of the Internet of Things, he had something interesting to say: “All companies need to become Internet and software companie Read more…

Tachyon Support Coming to Big Data Hypervisor

Organizations that are deploying Apache Spark to do data science on big data may be inclined to invest in Tachyon, the in-memory file system that was developed next to Spark at the AMPlab. Getting Spark and Tachyon spun Read more…

MongoDB Goes Pluggable with Storage Engines

MongoDB is taking a page out of the MySQL playbook and adopting a new architecture that allows customers to run a variety of different storage engines that are optimized to do specific tasks on its database. The company Read more…

VoltDB Reaches Out to Hadoop for Fast Data Analytics

VoltDB has made a name for itself by building a fast in-memory distributed relational database that processes transactions and does some real-time analytics too. With today's launch of VoltDB version 5, the company is sm Read more…

AMPLab’s Tachyon Promises to Solidify In-Memory Analytics

U.C Berkeley's AMPLab first landed on the radar screens of data scientists with Apache Spark, which promises to provide an in-memory data processing framework to replace or augment MapReduce. More recently, the tech wizz Read more…

Now and Then: The Evolution of In-Memory Computing

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 facto Read more…

EXASOL Shrugs Off Oracle’s In-Memory Speedup

Once dismissed as exotic toys, in-memory databases are gaining new ground in the data center. The latest in-memory believer is Oracle, which in July will ship the new in-memory option for its 12c database, which it claim Read more…

SiSense Tweaks Memory to Boost Data Analytics

Business intelligence software vendor SiSense is forecasting that soaring demand among small and mid-sized companies for data analytics could help triple it sales this year. The Israeli company differentiates itself f Read more…

NumaQ Speeds Analytics with Massive Shared Memory Cluster

An in-memory big data analytics appliance dubbed NumaQ is said to allow up to 32-terabytes of data to be loaded and analyzed in memory, helping to eliminate a major bottleneck in data analytics performance. Read more…

How to Speed Your Data Warehouse by 148x

Data analytic applications built on a combination of IBM's DB2 BLU column-oriented data store and servers equipped with Intel's latest Xeon E7 v2 processors can run up to 148 times faster than if they were running on the standard row-oriented DB2 engine and first-gen Xeon E7 processors, the companies announced last month. Read more…

Microsoft’s SQL Server 2014 Adds In-Memory, Updates Columnar

Everybody wants their databases to retrieve and store information faster, and with SQL Server 2014, which is released to manufacturing today, Microsoft is tweaking its columnar data store as well as integrating its first in-memory database technology to boost transaction processing and data warehousing workloads, respectively. Read more…

NoSQL Databases RAM it Home with In-Memory Speedups

In-memory processing has long been used in analytic NoSQL database. But now transaction oriented NoSQL databases, like those from DataStax and MongoDB, are getting the in-memory treatment, which is leading to speedups in the range of 10x to 100x--sometimes much more. Read more…

Taking NoSQL to the Next Level with In-Memory Computing

Real-time insight is quickly becoming less of a differentiator, and more of something that you need in order to simply keep pace. Your customers have too many easy options--you can’t afford to keep anyone waiting. Furthermore, the digital landscape has dramatically reduced the time it takes for the world to find out about a misstep, and for negative sentiment to snowball into a full-blown crisis. Companies can’t afford to sit on top of mounds of data--they need to get immediate, real-time insight from it. Read more…

In-Memory Data Grid Key to TIBCO’s Strategy

TIBCO is a bit of an anomaly in the big data world. While the software vendor is arguably one of the biggest players in the area, it doesn't have a traditional database, which demonstrates its preference for processing data on the fly. But in the future, TIBCO's in-memory technology, called ActiveSpaces, figures to play a more prominent role. Read more…

GridGain Puts Thrusters On MapReduce With Hadoop Accelerator

In-memory computing has been all the rage in 2013 as vendors far and wide line up to offer businesses the ability to get more speed for their processing dollar. GridGain, a company that has built itself around the in-memory concept, say it’s bringing it to Hadoop with an accelerator that it says gives thrusters to the framework. Read more…

Oracle Gives 12c Database a Column-Oriented Makeover

Oracle says the new In-Memory Option it unveiled today will allow its 12c database customers to run analytic workloads 100 times faster than they previously could. The secret sauce is a new column-oriented analytical data store, which sits right next to the traditional row-oriented data store used for transactions. Read more…

Is “In-Chip” Data Processing the Next Revolution?

While in-memory computing has been making the hype circuits recently, analytic startup SiSense says their technology takes data processing to the next level: in-chip. SiSense says that in-chip is the next revolution beating on the big data door, and that it will change the way people think about data processing. Read more…

Actian Aims at Being Disruptive in Big Data

Data management company, Actian Corporation, broadened its offering last week with the company completing its acquisition of Pervasive Software. The merger, they claim, is a step towards making Actian a disruptive force in the big data arena. Read more…

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