GridGain In-Memory Data Fabric vs icStorm

Struggling to choose between GridGain In-Memory Data Fabric and icStorm? Both products offer unique advantages, making it a tough decision.

GridGain In-Memory Data Fabric is a Development solution with tags like inmemory, database, data-grid, distributed-computing.

It boasts features such as In-memory data storage and processing, Distributed caching, In-memory SQL queries, In-memory compute grid, High availability through data replication, Horizontal scalability, ACID transactions, ANSI SQL support, Streaming and CEP, Machine learning and predictive analytics and pros including Very fast performance for data-intensive workloads, Low latency for real-time applications, Scales horizontally, Supports both SQL and key-value APIs, Open source and commercially supported options available.

On the other hand, icStorm is a Development product tagged with kanban, agile, project-management, selfhosted.

Its standout features include Kanban boards, Sprint planning, Backlogs, Reports, Integrations, and it shines with pros like Open source, Self-hosted, Free, Customizable.

Feature	GridGain In-Memory Data Fabric	icStorm
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

GridGain In-Memory Data Fabric

Description: GridGain In-Memory Data Fabric is an in-memory computing platform that provides in-memory speed and massive scalability for data-intensive applications. It allows organizations to process transactions and analyze data in real-time.

icStorm

Description: icStorm is an open-source, self-hosted alternative to IceScrum. It is a project management and agile software development tool aimed at small teams, with features including kanban boards, sprint planning, backlogs, reports, and integrations.

Key Features Comparison

GridGain In-Memory Data Fabric Features

• In-memory data storage and processing
• Distributed caching
• In-memory SQL queries
• In-memory compute grid
• High availability through data replication
• Horizontal scalability
• ACID transactions
• ANSI SQL support
• Streaming and CEP
• Machine learning and predictive analytics

icStorm Features

• Kanban boards
• Sprint planning
• Backlogs
• Reports
• Integrations

Pros & Cons Analysis

GridGain In-Memory Data Fabric

Pros

• Very fast performance for data-intensive workloads
• Low latency for real-time applications
• Scales horizontally
• Supports both SQL and key-value APIs
• Open source and commercially supported options available

Cons

• Can require large amounts of RAM to store data in-memory
• Not ideal for storing large amounts of infrequently accessed data
• Complexity of distributed system configuration and management

icStorm

Pros

• Open source
• Self-hosted
• Free
• Customizable

Cons

• Limited features compared to paid tools
• Requires self-hosting infrastructure
• Limited integrations

Pricing Comparison

GridGain In-Memory Data Fabric

• Open Source
• Freemium
• Subscription-Based

icStorm

• Open Source
• Free