+
+

Related Products

  • Dragonfly
    16 Ratings
    Visit Website
  • Couchbase
    417 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Google Compute Engine
    1,169 Ratings
    Visit Website
  • DbVisualizer
    593 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,027 Ratings
    Visit Website
  • Google Cloud Platform
    61,066 Ratings
    Visit Website
  • Google Cloud SQL
    554 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • NeuBird
    2 Ratings
    Visit Website

About

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

About

Charg is an AI infrastructure lifecycle platform that transforms proven enterprise-grade supercomputing systems into scalable AI and high-performance computing cloud environments. Its public HPC cloud provides access to anything from a single GPU to a full 60+ PFLOPS cluster, giving teams supercomputing power without owning or managing the underlying hardware. It redeploys hyperscaler-class CRAY supercomputers and mature NVIDIA DGX architecture, combining clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and petabytes of high-density all-flash CEPH storage for low-latency, high-throughput performance. Charg is built for demanding AI, scientific research, and engineering workloads, including model training, scaled inference, simulations, advanced data analysis, finite element analysis, and computational fluid dynamics. Its API-driven infrastructure scales with existing workflows and supports on-demand capacity without the operational restrictions.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Platform for companies in need of a distributed database for high-performance computing

Audience

AI researchers, scientists, and engineers requiring scalable GPU and high-performance computing infrastructure for training, inference, simulation, and intensive research workloads

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.99 per hour
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Apache Ignite
Founded: 1999
United States
ignite.apache.org

Company Information

Charg
United States
charg.cloud/

Alternatives

Alternatives

Lambda

Lambda

Lambda.ai
Ehcache

Ehcache

Terracotta
GridGain

GridGain

GridGain Systems

Categories

Caching Supported
Database Supported

Categories

Cloud GPU Supported

Integrations

3forge Supported
Apache Zeppelin Supported
GridGain Supported
Vert.x Supported
sqlmap Supported
witboost Supported

Integrations

3forge Not Supported
Apache Zeppelin Not Supported
GridGain Not Supported
Vert.x Not Supported
sqlmap Not Supported
witboost Not Supported
Claim Apache Ignite and update features and information
Claim Apache Ignite and update features and information
Claim Charg and update features and information
Claim Charg and update features and information