Kognitio’s high-speed processing means Inmar can offer more and more real-time queries through its customer portal, allowing them to offer very detailed targeting that otherwise wouldn’t be possible.
By running Kognitio’s SQL engine on your big data, you’ll get ultra-fast query results for thousands of concurrent users.
Fastest SQL on Hadoop
Ultra-fast SQL for huge working sets in either Hadoop or your traditional data warehouse. Kognitio beats Impala, Hive LLAP, Presto and Spark SQL.
Thousands of complex queries per second
Unrivalled throughput meaning you can serve answers to thousands of concurrent users throughout your business.
Real-world SQL, tuned for BI queries
Kognitio runs ANSI standard SQL queries. Whether the queries are hand-written or generated by your BI tool, Kognitio slots into your existing workflow.
Tableau with 9 petabytes in Hadoop
The world’s largest card provider serves business insight to enterprise customers globally with Kognitio.
Resilient, highly performant in-memory analytics
bet365 gets deeper insight at speed with Kognitio.
Real-time point of sale analysis at AIMIA
AIMIA uses Kognitio to help retailers and suppliers understand consumer behavior.
Kognitio Delivers for
Large Utility Provider, Scottish Power
Kognitio appliance powers Bed Bath & Beyond North American 1200…
Kognitio Powers Blueberry Wave’s Marketing Automation and Insight Services.
Companies have long accepted that with the explosion in data volumes described in this Analytics Week article. this Inside Big Data article and elsewhere, that Massively Parallel Processing (MPP) is the only way to deal with today’s data processing requirements. This Microsoft tech blog post outlines the reasons for moving to MPP for data processing. MPP systems…
With big data analytics now becoming a fixture across companies of all sizes and every industry, many businesses will be looking at how they can leverage the technology to gain a march on their competitors and provide the highest possible level of service. After the EMC World Conference in 2015, we read with interest about…
Finding big data sets to work with isn’t easy. People who’d like to share need to be wary of the sensitivity of the data they’re sharing (e.g. social media data is very personal) and generally a lot of interesting data sets are off limits because of this. I’ve detailed in this blog some repositories for…
I attended the recent data science fest event in London and could write about the talk topics but that wouldn’t be an exciting blog. It wouldn’t it be as detailed as listening in person so I’ve opted to write about an observation; which data scientist type are you? I don’t get to go to a…