Sold by: GridGain Systems
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.
Sold by: GridGain Systems
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.
- GridGain(R) delivers unlimited scalability and tremendous speed. 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(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
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2.0
Typical total price
This estimate is based on use of the seller's recommended configuration (c4.xlarge) in the US East (N. Virginia) Region. View pricing details
$1.699/hour
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m3.medium | $0.375 | $0.067 | $0.442 |
m3.large | $0.75 | $0.133 | $0.883 |
m3.xlarge | $1.50 | $0.266 | $1.766 |
m3.2xlarge | $3.00 | $0.532 | $3.532 |
m4.large | $0.75 | $0.10 | $0.85 |
m4.xlarge | $1.50 | $0.20 | $1.70 |
m4.2xlarge | $3.00 | $0.40 | $3.40 |
m4.4xlarge | $6.00 | $0.80 | $6.80 |
m4.10xlarge | $15.00 | $2.00 | $17.00 |
c3.large | $0.75 | $0.105 | $0.855 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
See GridGain AWS Marketplace Getting Started Guide at http://www.gridgain.com/company/partners/amazon-aws-deployment#amazon-aws-deployment
Support
Vendor support
GridGain(R) AWS Marketplace Deployment Support https://www.gridgain.com/partners/aws-support https://www.gridgain.com/products/services/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.
Similar products
Dotnet-Ubuntu20.04LTS with maintenance support by Apps4Rent
By Apps4rent LLC
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.01/hour.
Hadoop on Debian 11 with support by AskforCloud LLC
By Askforcloud LLC
This product has charges associated with it for seller support. The Apache Hadoop framework develops open-source software for reliable, scalable, distributed computing.
Productize your APIs without the dev time
ClimateTracker Climate-related Disclosures - Aotearoa NZ CS 1-3
By ClimateTracker
ClimateTracker provides intelligent AI Climate Disclosure reporting tools that guide organisations through changing climate standards, help make impactful climate decisions and reduce compliance costs
Customer reviews
Information Technology and Services
Revolutionizing Our Data Management with GridGain
Reviewed on Jun 01, 2024
Review provided by G2
What do you like best about the product?
GridGain’s powerful in-memory computing has drastically sped up our data processing. Its seamless integration with various data sources and excellent scalability ensure we get real-time insights quickly. The support team is responsive, and the comprehensive documentation makes implementation straightforward.
What do you dislike about the product?
The initial setup can be a bit complex, and the cost might be high for smaller businesses. However, once up and running, GridGain proves to be an invaluable tool.
What problems is the product solving and how is that benefiting you?
GridGain is solving our challenge of slow data processing times and inefficiencies in handling large-scale data. By accelerating data access and computation, it allows us to make faster, data-driven decisions, improving our operational efficiency and competitiveness.
Leave a comment0 comments
Peter A.
High-speed data processing and analytics for our AI and ML models
Reviewed on Jan 11, 2024
Review provided by G2
What do you like best about the product?
We have been working with GridGain for about a year to help us continuously train our AI and ML models. Their Continuous Learning Framework supports machine learning and deep learning model training on operational data, with built-in machine learning libraries that facilitate training models using real-time data. GridGain also provides us with high-speed data processing and analytics, and near-linear scalability which have been key to helping us handle large datasets and perform the complex computations required in AI and ML training.
What do you dislike about the product?
We’ve experienced minor issues with some of our data integrations when it came to scaling our AI and ML models.
What problems is the product solving and how is that benefiting you?
GridGain helps us train and deploy our AI and ML models without costly infrastructure or complex configurations. The in-memory computing delivers high-speed processing at scale which has been key to our handling massive datasets and performing the complex computations we need in AI and ML training. Additionally, GridGain supports near real-time continuous learning against massive amounts of data, eliminating the need for data movement.
Information Technology and Services
GridGain for modern event stream processing
Reviewed on Dec 29, 2023
Review provided by G2
What do you like best about the product?
- In-stream analystics and transaction processing all in-memory
- transaction persistence to disk
- in-memory first architecture
- high-performance at very low latency
- outstanding professional services and customer support
- new v8.9 integrations with Parquet files, Iceberg tables, and JSON documents
- transaction persistence to disk
- in-memory first architecture
- high-performance at very low latency
- outstanding professional services and customer support
- new v8.9 integrations with Parquet files, Iceberg tables, and JSON documents
What do you dislike about the product?
- some complexity...especially when implementing replication-based multi-cluster availability
- lots of features contribute to complexity
- more feature rich versus the competition = more expensive (but greater ROI)
- lots of features contribute to complexity
- more feature rich versus the competition = more expensive (but greater ROI)
What problems is the product solving and how is that benefiting you?
- rapid analysis of, and transactions on, increasing streaming data volumes web-based activitis and transaction
- accelerating decision making
- empowering decision support
- accelerating decision making
- empowering decision support
Janey L.
high performance, scalable
Reviewed on Dec 28, 2023
Review provided by G2
What do you like best about the product?
GridGain has enabled us to process and analyze large datasets much more rapidly than traditional disk-based systems. GridGain’s ability to scale horizontally allows us to handle increasing loads by simply adding more nodes to the cluster. By using GridGain as a caching layer, we've seen improvements in the performance of our customer-facing applications. Additionally, GridGain's support for SQL queries on cached data is awesome.
What do you dislike about the product?
You need to know what you are doing in order to setup Gridgain. Additionally, there is an inherent risk of data volatility in in-memory storage systems - do your homework and make sure you take into consideration backup and effective memory management practices like data persistence, cache eviction and expiry policies.
What problems is the product solving and how is that benefiting you?
GridGain has drastically improved our ability to process and analyze large volumes of data, leading to faster and more informed decision-making.
Gustavo R.
Huge performance increases for data processing and analytics
Reviewed on Nov 29, 2023
Review provided by G2
What do you like best about the product?
We used GridGain at my previous company to accelerate our risk and compliance software by speeding the underlying data caching, persistence, and compute layer. GridGain was able to reduce processing times for key calculations from minutes to milliseconds. We chose GridGain for its ANSI SQL support, ACID compliance, support for high volume transactions, and advanced persistence capabilities.
What do you dislike about the product?
GridGain is a powerful platform designed for complex data requirements. It has more features and is more advanced than competitive products. This, however, made it somewhat more difficult to configure leading to a longer-than-expected implementation. Once fully deployed, it proved to be a robust solution.
What problems is the product solving and how is that benefiting you?
GridGain takes care of our data caching, persistence, and the compute layer for custom analytics. GridGain has helped us simplify our data architecture in order to provide major performance improvements since we’re no longer moving data over the network.