Analyst Perspectives

Big data analytics is being offered as the key to addressing a wide array of management and operational needs across business and IT. But the label “big data analytics” is used in a variety of ways, confusing people about its usefulness and value and about how best to implement to drive business value. The uncertainty this causes poses a challenge for organizations that want to take advantage of big data in order to gain competitive advantage, comply with regulations, manage risk and improve...

Platfora has gained a lot of buzz in the Big Data analytics market primarily through word of mouth. Late last year the company took the covers off of some impressive and potentially disruptive technology that takes aim at the broad BI and business analytics ecosystem, including the very foundation on which the industry is built. It recently demonstrated its software at the Strata Conference where the audience that is fixated on big data was in attendance.

The big-data landscape just got a little more interesting with the release of EMC’s Pivotal HD distribution of Hadoop. Pivotal HD takes Apache Hadoop and extends it with a data loader and command center capabilities to configure, deploy, monitor and manage Hadoop. Pivotal HD, from EMC’s Pivotal Labs division, integrates with Greenplum Database, a massively parallel processing (MPP) database from EMC’s Greenplum division, and uses HDFS as the storage technology. The combination should help sites...

SiSense gained a lot of traction last week at the Strata conference in San Jose as it broke records in the so-called 10x10x10 Challenge – analyzing 10 terabytes of data in 10 seconds on a $10,000 commodity machine – and earned the company’s Prism product the Audience Choice Award. The Israel-based company, founded in 2005, has venture capital backing and is currently running at a profit with customers in more than 50 countries and marquee customers such as Target and Merck. Prism, its primary...

LogiXML has been around for more than a decade, but has seen particularly robust growth in the past year. Recent announcements show the company with better than 100-percent year-over-year growth, driven by a 97 percent license renewal rate and new customer growth in SMB, departmental and OEM deployments. The 158-percent growth for the embedded analytics group for the fourth quarter on a year-over-year basis was particularly strong.

The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock business value.

Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storage technologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety,...

I’ve been using electronic spreadsheets for more than 30 years. I consider this technology among the 20th century’s top five most important advances in business management. Spreadsheets have revolutionized every aspect of running any organization. A spreadsheet (specifically, VisiCalc) was the original “killer app” that made business people feel the necessity to buy a personal computer.

LucidWorks addresses the growing volume of information now being stored in the enterprise and in big data with two products aimed at the enterprise with search technology. Though you may not be familiar with LucidWorks (previously known as Lucid Imagination), the company has for many years contributed to Apache Lucene, an open source search project, and commercialized and supported for it for business.

Business intelligence software is supposed to help businesses access and analyze data and communicate analytics and metrics. I have witnessed improvements to BI software over the years, from mobile and collaboration to interactive discovery and visualization, and our Value Index for Business Intelligence finds a mature set of technology vendors and products. But even as these products mature in capabilities, the majority lack features that would make them easy to use.  Our recent research on ...