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Introduction

Kinetica is one of a new generation of technology providers that are harnessing the power of GPUs to tackle compute-intensive analytics, spanning from real-time customer-360 applications to risk management and geospatial problems.

Highlights

  • Kinetica offers a distributed, in-memory database that leverages the hyper-parallelism of GPU hardware to literally shrink the processing of complex analytic problems down to size.

Features and Benefits

  • Introduces Kinetica, one of a new wave of database platforms that leverage the hyper-parallelism of GPU processors.
  • Differentiates Kinetica, and GPU processing, from the emerging crop of in-memory databases based on the types of workloads.

Key questions answered

  • What types of problems are GPU databases suited for?
  • How does Kinetica differentiate itself from other "fast database" platforms?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Kinetica on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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