Teradata has introduced Intelligent Memory into its line of database appliances.
The data analytics firm says the latest feature will speed up retrieval queries and leverage large data sets using in-memory technologies. Teradata says the tool makes its database appliance solutions unique from those made by competitors.
Intelligent Memory reads data to manage it by usage. The tool uses an algorithm to age, track, and rank data. Teradata says the tool examines data to put the most-used sets to faster in-memory layers. Data used less frequently will stay on slower and cheaper memory storage disks.
Teradata has touted Intelligent Memory as an effective way to handle large sets of data. According to Teradata Labs president Scott Gnau, the configuration reduces the overall cost of in-memory usage because not all data is housed in memory.
"Teradata Intelligent Memory technology is built into the data warehouse and customers don't have to buy a separate appliance. Additionally, Teradata enables its customers to configure the exact amount of in-memory capability needed for critical workloads," said Gnau.
"It can be difficult, expensive and impractical to keep all data in memory; Teradata's unique approach means the right amount of memory can be applied to the right set of data for blinding performance – automatically."
Teradata's news comes following SAP's recent push of its HANA technology. Earlier this month, SAP announced that it was going to turn HANA into an enterprise cloud service. HANA is an in-memory system that strictly stores data on RAM instead of disks.
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