GridGain

Grid Gain

Computer Software, 1065 E Hillsdale BLVD, Foster City, California, 94404, United States, 51-200 Employees

gridgain.com

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Who is GRIDGAIN

GridGain is a unified real-time data platform. It enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability fro...

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  • 1065 E Hillsdale BLVD, Foster City, California, 94404, United States Headquarters: 1065 E Hillsdale BLVD, Foster City, California, 94404, United States
  • 2007 Date Founded: 2007
  • 51-200 Employees: 51-200
  • dollar-icon Revenue: $50 Million to $100 Million
  • tech-icon Active Tech Stack: See technologies
  • Eoin Connor CEO:   Eoin Connor

industries-icon Industry: Computer Software

SIC SIC Code: 7371 | NAICS Code: 541511 | Show More

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Frequently Asked Questions Regarding GridGain

Answer: GridGain's headquarters are located at 1065 E Hillsdale BLVD, Foster City, California, 94404, United States

Answer: GridGain's phone number is TRUE

Answer: GridGain's official website is https://gridgain.com

Answer: GridGain's revenue is $50 Million to $100 Million

Answer: GridGain's SIC: 7371

Answer: GridGain's NAICS: 541511

Answer: GridGain has 51-200 employees

Answer: GridGain is in Computer Software

Answer: GridGain contact info: Phone number: TRUE Website: https://gridgain.com

Answer: GridGain is a unified real-time data platform. It enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. GridGains distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on-premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments. GridGain is trusted by companies like Barclays, American Airlines, AutoZone, AT&T, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs.

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