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Traditional relational databases, the powerhouse of software applications since the 1980s, work well when your data is predictable and fits well into tables, columns, rows, and wherever queries ...
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Some of these software solutions even have built-in analytics capabilities now. Read this white paper to learn how Actian Vector takes advantage of x86 CPUs for rapid analytic processing – while still ...
IBM (NYSE:IBM) has introduced its new solidDB in-memory relational database software, designed to deliver performance-critical data up to ten times faster than conventional database software ...
Oracle (ORCL 3.35%) has been in the database business for more than 40 years. Its database software, running on customers' hardware and increasingly in the cloud, is mission-critical for a wide ...
SANTA CLARA, Calif., Aug. 21, 2019 /PRNewswire/ -- Sesame Software, the innovative leader in Enterprise Data Management, today announced the rollout of Relational Junction 6.1, the latest version ...
Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well ...
It’s not very often that I run across software that is truly impressive. Ninox for Mac (and its other iterations) wowed me. Not because it’s a powerful relational database–been there, done that.
In my software engineer days, I worked on “navigational” databases constructed out of many individual files and indexes, multi-way balanced tree databases such as MUMPS or Pick, CODSYL ...
As described above, most relational databases - the ones that power the business and the transaction side of the house are running on technology that’s been around for 25 to 40 years.
Legacy relational database management systems were originally designed as systems of record, but they don’t work as well in modern, cloud-native designs.
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