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Supporting On-Demand and Private Cloud Deployments
GraphGrid offers you a pay-as-you-go approach to pricing in the cloud. With GraphGrid you pay only for the individual services you need, for as long as you use them, and without requiring long-term contracts or complex licensing. GraphGrid pricing is similar to how you pay for cloud infrastructure services from the major cloud providers such as AWS. You only pay for the services you consume, and once you stop using them, there are no additional costs or termination fees.
Unless you are in the business of building a platform, you’ve likely spent too much time and money doing just that. With GraphGrid you no longer need to dedicate valuable resources to building costly platform services that form the bottom of iceberg. With GraphGrid you can replace large upfront expenses with lower variable costs and pay only for what you use and for as long as you need it. GraphGrid services are available on demand and require no long-term contracts and have no complex licensing dependencies.
Pay-as-you-go pricing allows you to easily adapt to changing business needs without overcommitting budgets and improving your responsiveness to changes. With a pay-as-you-go model, you can adapt your business depending on need and not on forecasts, reducing the risk of over-building unnecessary platform capabilities.
By paying for services on an as needed basis, you can redirect your focus to innovation and invention, reducing platform complexity and enabling your business to be fully elastic.
With GraphGrid, you can get volume-based discounts and realize important savings as your usage increases. Pricing is tiered, meaning the more you use, the less you pay per GraphGrid Unit Hour. As a result, as your GraphGrid usage needs increase, you benefit from the economies of scale that allow you to do more with your graph assets and keep costs under control.
GraphGrid Cloud Usage is metered in 10-minute intervals and costs are computed per GGU Hour of usage. The GGUs consumed per hour depend on the underlying Cloud and Instance Type deployed. Smaller Variable Class types have a lower GGU consumption per hour while the larger Memory Optimized Class types have a higher GGU consumption per hour. The higher the CPU and Memory resources consumed the higher the GGU consumption per hour.
GraphGrid Cloud support for each AWS Instance Type and Class varies by AWS Region. See GraphGrid Cloud on AWS Cloud for pricing and availability in all supported AWS Regions.
When you are utilizing a private or hybrid cloud architecture or have organizational constraints that make on-demand consumption not possible, then Contact Sales and we’ll work with you to structure a solution.
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