Sold by: GridGain Systems
Deployed on AWS
The GridGain(R) In-Memory Computing Platform, built on Apache(R) Ignite(TM), enables you to dramatically accelerate and scale out your data-intensive applications without ripping and replacing your existing databases.
Overview
The GridGain(R) In-Memory Computing Platform, built on Apache(R) Ignite(TM), enables you to dramatically accelerate and scale out your data-intensive applications without ripping and replacing your existing databases. GridGain delivers massive scalability and tremendous speed, managing data from multiple databases. Query times are up to 1,000x faster than systems built on disk-based databases. You can easily scale out your GridGain instance to support petabytes of in-memory data by adding new nodes to your cluster. GridGain includes an in-memory data grid, in-memory database, streaming analytics, and a continuous learning framework. You can modernize your data-intensive architecture by inserting GridGain between your existing application and data layers. GridGain works seamlessly with RDBMS, NoSQL and Hadoop databases. It features a unified API which supports SQL, C++, .NET, PHP, MapReduce, JAVA/Scala/Groovy, and Node.js access for the application layer. GridGain can run on premises, in a hybrid environment, or on the AWS or other public cloud platforms.
Highlights
- The GridGain(R) In-Memory Computing Platform, built on Apache(R) Ignite(TM), enables you to dramatically accelerate and scale out your data-intensive applications without ripping and replacing your existing databases.
- The GridGain(R) In-Memory Computing Platform, built on Apache(R) Ignite(TM), enables you to dramatically accelerate and scale out your data-intensive applications without ripping and replacing your existing databases.
- GridGain(R) modernizes your data-intensive applications. GridGain works seamlessly with RDBMS, NoSQL and Hadoop databases. It features a unified API which supports SQL, C++, .NET, PHP, MapReduce, JAVA/Scala/Groovy, and Node.js.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c5.xlarge Recommended | $2.06 |
r5.2xlarge | $8.24 |
r5d.4xlarge | $16.48 |
c5.metal | $49.44 |
c5d.metal | $49.44 |
r6i.32xlarge | $131.84 |
r5d.2xlarge | $8.24 |
m6i.4xlarge | $8.24 |
r5.xlarge | $4.12 |
r5d.large | $2.06 |
Dimensions summary
You pay by the hour based on the EC2 instance type you run GridGain on. Each dimension maps to a specific instance size across several families: t3, m6i, c5, c5d, r5, r5d, and r6i. These families differ in balance of compute, memory, and local storage, so you match the instance to your workload. Within each family, sizes range from large up to metal or 32xlarge. Costs scale with the size and number of instances in your cluster. Adding more or larger nodes raises your hourly total. There are no upfront commitments; billing follows actual usage.
Top-of-mind questions for buyers
One unit is one running EC2 server node, billed per hour at the rate for its instance type. Each node contributes its CPU, RAM, and storage to the cluster. You add nodes to scale out, and each node you run accrues its own hourly software charge.
Software charges accrue per node per hour while the instance runs. A stopped node stops accruing software charges, though AWS may still bill for attached storage. If you run a partial cluster, you pay only for the nodes that are running during that hour.
Your bill is the sum of hourly rates for every running node. Adding nodes raises the total by each new node's rate. Choosing a larger instance size within a family raises that node's rate. Cost scales with both node count and instance size, billed per hour of use.
www.gridgain.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
GridGain 8 should start automatically.
Using GridGain on AWS:
- Connect to instance using SSH
- Connect to GridGain REST API: https://www.gridgain.com/docs/latest/getting-started/quick-start/restapi#running-your-first-gridgain-application
- Set up security group to allow access: https://www.gridgain.com/docs/latest/installation-guide/aws/gridgain-ce-ami#configuring-security-group
- Follow quickstart guide to use GridGain in your desired programming language: https://www.gridgain.com/docs/latest/getting-started/quickstart
More information: GridGain on AWS: https://www.gridgain.com/docs/latest/installation-guide/aws/gridgain-ce-ami SQL reference: https://www.gridgain.com/docs/latest/sql-reference/sql-reference-overview
Support
Vendor support
GridGain(R) AWS Marketplace Deployment Support https://www.gridgain.com/partners/aws-support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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