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GridGain

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About GridGain

GridGain is an in-memory computing platform from GridGain Systems that provides high-performance data processing capabilities. It combines distributed caching, data grid, and compute grid features so organizations can manage large datasets with increased speed and efficiency. Additionally, GridGain supports real-time analytics and transactional processing, enabling businesses to gain insights and make decisions faster. The platform is compatible with existing database systems and improves their performance without requiring significant changes to the underlying architecture. Key capabilities: in-memory data storage SQL query processing data replication integration with Hadoop support for multiple programming languages Best for: enterprises and developers that need rapid data access and processing for big data applications.

GridGain Details

Vendor
GridGain Systems
Year Launched
2007
Location
228 Hamilton Ave, 3rd Floor, Palo Alto, CA 94301, USA
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English
Users
Data engineers, software developers, solution architects, IT operations teams, DevOps professionals, system integrators, enterprise architects, AI/ML engineers, application developers, database administrators
Industries Served
Finance, telecommunications, retail, logistics, energy, healthcare, e-commerce, government, technology, manufacturing
Tags
Database, In-Memory Computing, Big Data, Distributed Computing, Caching, Data Grid

GridGain's In-App Market Place

Does GridGain have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr.), CNY (¥), SEK (kr), NOK (kr), KRW (₩), INR (₨), BRL (R$), RUB (₽), ZAR (R), MXN (Mex$)

Pros & Cons

  • Real-time Performance: Designed for ultra-low latency data storage and processing, critical for real-time AI, analytics, and transactional workloads.
  • Unified Platform: Consolidates transactions, analytics, and AI processing onto a single platform, simplifying architecture and reducing data movement.
  • Massive Scalability: Offers unlimited horizontal scalability and high availability for handling large datasets and high-volume events.
  • Memory-First Architecture: Minimizes disk I/O for superior performance, while still providing disk-based durability.
  • Complexity: While it aims for architectural simplicity, its underlying technology (in-memory computing, distributed systems) can have a steep learning curve for those unfamiliar with it. (Inferred from the need for extensive training and expert support).
  • Specialized Use Cases: Primarily targets scenarios requiring extreme speed, scale, and real-time processing; it might be overkill or too complex for simpler database needs that a traditional RDBMS could easily handle.
  • Integration Effort: While "non-intrusive," integrating a new platform, especially one as powerful as GridGain, will still require planning, development effort, and expertise.

GridGain's Support Options

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