Dragonfly Cloud is a fully managed, Redis-compatible in-memory data store built for modern applications. Dragonfly is up to 25X faster and 80% lower cost when compared to Redis-based solutions. Deploy Dragonfly Cloud to the AWS region of your choice and experience a high-performance data infrastructure with dramatically reduced costs.
Dragonfly Cloud is a fully managed in-memory data store with an extremely simple, cost-efficient model: define the amount of storage you want provisioned and let Dragonfly take care of the rest. With automated tuning, scaling, backups, and more, Dragonfly Cloud allows you to ship more performant, more reliable applications at significantly lower costs. With deployments available to any AWS region, as well as VPC peering connections, Dragonfly Cloud will fit in seamlessly with your existing AWS infrastructure.
To get started, subscribe to the product and set up your account. You will be redirected to our landing page, where you can log in with your existing credentials or create a new account by completing the sign-up form. After setting up your account, you will see a confirmation pop-up indicating a successful AWS Marketplace integration. Congratulations! You are now ready to start creating datastores.
Highlights
Compatible with all Redis APIs, no code changes required to migrate.
Reduce costs by up to 80%.
Scales effortlessly. No need to manage instances, just define how much memory you need.
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.
Dragonfly Cloud bills on usage, so you pay only for what you consume. Your cost combines two independent dimensions that add together. The first dimension charges for memory, measured per gigabyte (GB) used by your datastore. The second dimension charges for data transfer, measured by how much data moves across the network. Both scale directly with your workload. As memory needs or network traffic grow, the matching dimension increases. There are no fixed tiers or instance sizes to choose here; each dimension meters your actual consumption separately.
Top-of-mind questions for buyers
What does one unit of the memory dimension represent?
One memory unit is one gigabyte (GB) of memory used by your datastore per billing period. You pay for the GB your workload actually consumes. Because the service compresses data efficiently, you may use fewer GB than a comparable in-memory store would require for the same dataset.
How is the data transfer charge measured?
The data transfer dimension meters how much data moves across the network, measured per unit transferred. This charge is separate from memory. Your cloud provider may also apply its own network charges on top of this dimension, according to the vendor's pricing page.
Which dimension typically drives most of my bill?
Both dimensions bill independently and add together on the same invoice. Memory usage usually drives cost for large datasets held in the datastore. Data transfer grows with network-heavy, high-request workloads that move lots of data. The dimension that dominates depends on whether your workload is storage-heavy or traffic-heavy.
www.dragonflydb.io
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Support
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Slack and email support included with all plans.
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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.
Aiven's Platform provides AWS users a comprehensive set of popular open source data technologies, such as PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch®, as a fully managed service.
Dragonfly was very easy to implement in our AWS stack. We replaced an existing Redis that was used for Sidekiq. We saw a reduction in costs and improved performance.
What do you dislike about the product?
The minimum instance size of 3GB. It would be great if there were smaller instances that we could use for smaller workloads
What problems is the product solving and how is that benefiting you?
We use Dragonfly to power our Sidekiq instances. This has replaced Redis
Ben T.
Good performance and pricing, very response support team
Reviewed on Jul 30, 2025
Review provided by G2
What do you like best about the product?
We were previously using Redis, but due to slow version updates and a lack of region support, we needed to find an alternative. Dragonfly provided a compatible API, and they provisioned resources in the region we required within 24 hours. We had a few initial setup questions, which the support team was quick to respond to. Since setting up our Dragonfly services have been reliable and met our performance expectations.
What do you dislike about the product?
Some advanced Redis features are not supported yet, but nothing we depend on.
What problems is the product solving and how is that benefiting you?
Job queues, user session storage and caching.
Information Technology and Services
A pleasurable experience with Dragonfly
Reviewed on Jul 16, 2025
Review provided by G2
What do you like best about the product?
I've had a great experience working with both the open-source and the managed solutions for Dragonfly. The flexibility and performance have been excellent for my needs.
What do you dislike about the product?
The only thing I would like to see improved is the ability to use smaller instances. For some of my smaller workloads, an instance size of 1GB or less would be ideal, but the current minimum is 3GB.
What problems is the product solving and how is that benefiting you?
Dragonfly is solving our need for a high-performance, in-memory data store for various application workloads. The primary benefit is the speed and efficiency it brings to our data caching and management, which significantly improves the overall performance of our applications.
Food Production
Good choice for modern web apps
Reviewed on Jul 16, 2025
Review provided by G2
What do you like best about the product?
Easy to integrate and very fast in combination with a very competitive pricing
What do you dislike about the product?
Sometimes specific features that are well known from Redis are missing, like the Redis search, etc.
What problems is the product solving and how is that benefiting you?
I am using it for my AI Chat as a cache layer and for other feature to speed them up
Bhawani S.
Dragonfly: Fast, Reliable, and Easy to Use
Reviewed on Nov 28, 2024
Review provided by G2
What do you like best about the product?
Dragonfly is fast, reliable, and easy to use. We tested it with up to 3 million queries per second (~250GB memory) on a 22-core instance with one master and three replicas. It worked well for reads and writes isolation, disaster recovery, and handling large data sets.
It's a great alternative to Redis affordable, high-performing, and fully supports Redis APIs, so no code changes are needed. Perfect for teams wanting better performance at a lower cost.
What do you dislike about the product?
Overall, our experience has been excellent. Dragonfly is actively improving, and the team is responsive on Discord. They regularly add new features based on user requests, which is a big plus!
What problems is the product solving and how is that benefiting you?
We primarily use Dragonfly for key-value operations and high-throughput use cases. Its multithreaded, shared-nothing architecture allows us to achieve high throughput with fewer nodes, significantly reducing the overhead of instance management.