Vendors » ParAccel
There is a lot of debate in the big data space about tools and technology, and which ones are best. Is SQL better than NoSQL? Hadoop or Spark? What about R or Python? Of course no single tool or technology is the best for all situations, and you would do well to pick the right tool or technology for the job at hand.
This week’s top five from the ecosystem of big data includes key items from major Hadoop player, Hortonworks, which has refreshed its approach to its Apache roots; Mellanox, which is moving the Hadoop hardware needle, and more from companies like ParAccel and GoodData…
To kick off the end of summer news rush this week we share some items from Supermicro, which just took the covers off some heavy-duty big data iron; platform optimizations from ParAccel, a brief story about a Japanese-born startup focused on multicore and more…
In the wake of their competitors being gobbled up by giants and their announcement today of a new connector to Hadoop, we step back and look at how analytical platforms like ParAccel’s are handling large amounts of complex data for companies like CARFAX, which recently put the company in the driver’s seat following limitations from their legacy….
News In Brief
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.
From genome sequencing to mass spectrometry to collect information for proteomics work, researchers have honed the craft of data collection for the life sciences—now the real questions of large-scale analysis are foremost on the minds of many in this…
This week analytics platform vendor, ParAccel and Birst, a provider of SaaS and on-premise business intelligence, formed an alliance. Birst will take advantage of the scalable database offerings of ParAccel, while on the flip side, ParAccel will use Birst’s BI offering in house.