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  3. GridGain Unified Real-Time Data Platform
Logo of GridGain Unified Real-Time Data Platform

GridGain Unified Real-Time Data Platform

byGridGain
in
4.3
Market Presence: In-Memory Data Grids, Event Stream Processing

Overview

Product Information on GridGain Unified Real-Time Data Platform

Updated 13th October 2025

What is GridGain Unified Real-Time Data Platform?

GridGain Unified Real-Time Data Platform is a software designed to manage and accelerate data processing for organizations requiring high performance and scalability. The software integrates distributed cache, persistent storage, and stream processing capabilities to handle both operational and analytical workloads. It enables data access and analysis in real time by supporting in-memory computing, which reduces latency and improves throughput. The platform provides compatibility with existing databases and messaging systems, allowing seamless data integration and access across diverse environments. GridGain Unified Real-Time Data Platform addresses business challenges related to managing large volumes of data, supporting transactional and analytical operations, and ensuring consistent and reliable data delivery to critical applications.

GridGain Unified Real-Time Data Platform Pricing

GridGain Unified Real-Time Data Platform software uses a subscription-based pricing model, typically structured around the scale of deployment, features required, and level of support. Pricing varies based on capacity, nodes, or resources consumed and is tailored according to enterprise requirements. The software offers both on-premises and cloud deployment options with different tiers aligned to organizational needs.

Overall experience with GridGain Unified Real-Time Data Platform

Revenue Operations
3B - 10B USD, Software
FAVORABLE

“High-speed data processing and analytics for our AI and ML models”

5.0
Jan 11, 2024
GridGain is a powerful enterprise-grade platform for high-performance data processing and analytics. We've had a great experience working with the product and company over the past year.
There are no reviews in this category.
CRITICAL

About Company

Company Description

Updated 10th November 2023

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. GridGain’s 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 Citi, Barclays, American Airlines, AutoZone, 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.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2007
Head office location
Foster City, United States
Number of employees
51 - 200
Website
https://www.gridgain.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

GridGain Unified Real-Time Data Platform Reviews and Ratings

4.3

(3 Ratings)

Rating Distribution

5 Star
33%
4 Star
67%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.3

Service & Support

5.0

Product Capabilities

5.0

Filter Reviews
Sort By:
Most helpful
Last 12 Months
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  • Revenue Operations
    1B-10B USD
    Software
    Review Source

    High-speed data processing and analytics for our AI and ML models

    5.0
    Jan 10, 2024
    GridGain is a powerful enterprise-grade platform for high-performance data processing and analytics. We've had a great experience working with the product and company over the past year.
  • Owner
    <50M USD
    IT Services
    Review Source

    High performance, low latency

    4.0
    Dec 28, 2023
    An important part of a real-time analytics stack for big data processing.
  • SENIOR DEVELOPMENT MANAGER
    1B-10B USD
    IT Services
    Review Source

    Very performant and scalable data grid with easy SQL integration.

    4.0
    Oct 26, 2023
    We started out years ago with Ignite 1.8, which was a lot more challenging to work with, but over time we've moved up to GridGain 8.8. We've significantly expanded our use with many caches and we've made it a central part or our transactional systems. We are very happy with the product's super fast queries and extensibility.
Showing Result 1-3 of 3

Recommended Gartner Insights

  • Market Guide for In-Memory Data Grids
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GridGain Unified Real-Time Data Platform Likes & Dislikes

Like

We have been working with GridGain for about a year to help us continuously train our AI and ML models. Their Continuous Learning Framework supports machine learning and deep learning model training on operational data, with built-in machine learning libraries that facilitate training models using real-time data. GridGain also provides us with high-speed data processing and analytics, and near-linear scalability which have been key to helping us handle large datasets and perform the complex computations required in AI and ML training.

Like

Gridgains supports SQL queries directly on cached data. Supports ACID transactions.

Like

With the Ultimate Edition, we have an enterprise solution that is very fast, stable, scalable and supports data recovery capabilities. Over time we'd had many productive calls with the support team and found them very knowledgeable and helpful, any issues we've found generally get worked into a future release (or patch if needed).

Dislike

We've experienced minor issues with some of our data integrations when it came to scaling our AI and ML models.

Dislike

Complex to set up and manage. You need expertise in in-memory computing systems.

Dislike

Change data capture isn't as easy to do as a database trigger as the Continuous Query is separate from the data and runs as a service, so it is a little more complex and requires extra logic if the service is down while data is still being updated. But there are ways to make it work.

Reviewer Insights for: GridGain Unified Real-Time Data Platform