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News

  • Introducing GigaSpaces InsightEdge Platform

    Spurring Faster, Scalable Innovation for Automated Intelligence and Real-time Data Insights Learn more
  • GigaSpaces Integrates InsightEdge Platform with BigDL for Scalable Deep Learning Innovation

    Demonstrates Simplified Artificial Intelligence Innovation at Strata Big Data Conference and Microsoft Ignite Learn more
  • Partnership with Magic Software Enterprises

    GigaSpaces enables Magic’s customers to simplify and accelerate telemetry ingestion, to gain full business value from IoT adoption. Learn more.

Why InsightEdge?

Simplified Data Science and Machine Learning

Run machine learning models directly against your transactional data while creating and ingesting data sets without ETL complexity.

Combined Transactional and Analytical Processing

Speed up Spark actions by as much as 30x with our fast data grid execution. This will eliminate compute-bound bottlenecks and JVM performance issues.

Industry Standard API

You can share Spark DataFrames and RDDs across many jobs enabling efficient pipelining.

GeoSpatial Processing

Implement powerful location-based analytics by ingesting and querying GeoSpatial data as native RDDs and DataFrames.

Enterprise Readiness

Eliminate streaming downtime by having a redundant copy of Spark executor data readily available in case of a crash.

Multi-Tier Data Storage

Utilize an enterprise-grade in-memory storage as an Fast Hybrid Storage solution for low latency streaming workloads.

InsightEdge Architecture


info

We provide an implementation of all Spark API’s (Spark Core, SQL,Streaming, MLLib, and GraphX) on top of an in-memory data grid. This data grid features high-performance, extreme transaction processing and leverages RAM and SSD/Flash storage for low latency workloads. InsightEdge tiers the storage and processing of Spark workloads between Spark workers and underlying data grid containers.

check out our demo to see insightedge in action

Use Cases

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