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Description
This robust enterprise platform, built on Apache Ignite, delivers lightning-fast in-memory performance and extensive scalability for data-heavy applications, ensuring real-time access across various datastores and applications. Transitioning from Ignite to GridGain requires no code modifications, allowing for secure deployment of clusters on a global scale without experiencing any downtime. You can conduct rolling upgrades on your production clusters without affecting application availability, and replicate data across geographically dispersed data centers to balance workloads and mitigate the risk of outages in specific regions. Your data remains secure both at rest and in transit, while compliance with security and privacy regulations is guaranteed. Seamless integration with your organization’s existing authentication and authorization frameworks is straightforward, and comprehensive auditing of data and user activities can be enabled. Additionally, you can establish automated schedules for both full and incremental backups, ensuring that restoring your cluster to its most stable state is achievable through snapshots and point-in-time recovery. This platform not only promotes efficiency but also enhances resilience and security for all data operations.
Description
An adaptable and efficient key-value storage engine, both persistent and in-memory, is engineered for superior performance and resource optimization. It is crafted to effectively handle data on-disk and in-memory by identifying recurring patterns in serialized bytes, without limiting itself to any particular data model, be it SQL or NoSQL, or storage medium, whether it be Disk or RAM. The core system offers a variety of configurations that can be fine-tuned for specific use cases, while also aiming to incorporate automatic runtime adjustments by gathering and analyzing machine statistics and read-write behaviors. Users can manage data easily by utilizing well-known structures such as Map, Set, Queue, SetMap, and MultiMap, all of which can seamlessly convert to native collections in Java and Scala. Furthermore, it allows for conditional updates and data modifications using any Java, Scala, or native JVM code, eliminating the need for a query language and ensuring flexibility in data handling. This design not only promotes efficiency but also encourages the adoption of custom solutions tailored to unique application needs.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Ignite
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GridGain Systems
Founded
2007
Country
United States
Website
www.gridgain.com/products/in-memory-computing-platform
Vendor Details
Company Name
SwayDB
Website
swaydb.io
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
