Datagres Technologies

Datagres Technologies

Computer Software, 3260 Hillview Ave, Palo Alto, California, 94304, United States, 11-50 Employees

datagres.com

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Who is DATAGRES TECHNOLOGIES

Datagres is a pioneer of a new storage data management platform that solves the problem of maintaining data closer to the CPU in an intelligent fashion. Datagres has developed very robust...

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  • 3260 Hillview Ave, Palo Alto, California, 94304, United States Headquarters: 3260 Hillview Ave, Palo Alto, California, 94304, United States
  • 2010 Date Founded: 2010
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC SIC Code: 5045

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Frequently Asked Questions Regarding Datagres Technologies

Answer: Datagres Technologies's headquarters are located at 3260 Hillview Ave, Palo Alto, California, 94304, United States

Answer: Datagres Technologies's official website is https://datagres.com

Answer: Datagres Technologies's revenue is $1 Million to $5 Million

Answer: Datagres Technologies's SIC: 5045

Answer: Datagres Technologies has 11-50 employees

Answer: Datagres Technologies is in Computer Software

Answer: Datagres Technologies top competitors include: Ping Identity

Answer: Datagres Technologies contact info: Phone number: Website: https://datagres.com

Answer: Datagres is a pioneer of a new storage data management platform that solves the problem of maintaining data closer to the CPU in an intelligent fashion. Datagres has developed very robust technology that analyzes and orchestrates the movement of data to wherever it is required in the datacenter to deliver accelerated performance and optimize server and storage performance for any application. Datagres PerfAccel is the State-of-the-art Next Generation Enterprise Storage Solution that provides : a. Intelligent & Dynamic Data Placement / Caching on High Performance devices like Solid State Drives (SSDs) on the Compute nodes itself Accelerates NFS, Autofs, EXT3, EXT4, XFS seamlessly without needing any user/manual intervention b. Rich & Deep Application & File I/O Analytics at multi-granular levels within the Compute Nodes as well as the whole Grid/Cluster c. It provides Multi-level/granular Analytics in various levels like : Application level Analytics, File & Offset Level Analytics, Context Analytics comprising of Process Level Analytics, Process Group Level Analytics, Session Level Analytics

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