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  • InsightEdge 2.1 is here!

    The latest release of InsightEdge, featuring Spark 2.1 and more data grid enhancements, is available for download!
  • HTAP 101 Webinar Series

    What is HTAP? Go beyond the big database hype with the help of our new HTAP webinar series. Learn about the “why” and the “how” of HTAP capabilities and how HTAP database technology can help you. Register here.
  • Partnership with Magic Software Enterprises

    GigaSpaces enables Magic’s customers to simplify and accelerate telemetry ingestion, to gain full business value from IoT adoption. Sign up to our joint webinar to learn more about powering IoT Integration solutions: turning data from sensors into real-time actionable insights. Register here.

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



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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