Sold by: ScyllaDB, Inc
Deployed on AWS
ScyllaDB Cloud is a fully managed NoSQL DBaaS. Built on a close-to-the-metal architecture, it handles millions of ops/sec with predictable single-digit msec latencies. It is ideal for data-intensive apps, including user profiling and recommendations, ML inference, IoT, and fraud detection.
4.5
Overview
ScyllaDB Cloud is a fully managed distributed database designed to help organizations run modern, data-intensive applications at scale across multiple availability zones and regions. It achieves this using fewer resources, reducing costs, and simplifying complexity. It is trusted by industry leaders, including TripAdvisor, Fanatics, Electronic Arts, Freshworks, Tubi, Disney, GumGum, iFood, and many others.
Key features include:
-
Extreme elasticity: scale terabytes of data ingestion and transaction processing in minutes
-
Affordable at scale: multiple self-service payment options and transparent metered billing avoid bill shock
-
100% API compatibility with Apache Cassandra CQL and DynamoDB
-
Real-time streaming data processing: native Kafka and Spark plug-ins
-
Easily integrate with your cloud apps: REST-API, Terraform, VPC peering, and gateways deliver low-cost plug-n-play connectivity
-
Bring Your Own Account (BYOA): Options to keep your data in your domain
-
State-of-the-Art Security: SOC2, ISO, and PCI-DSS certifications. All data encrypted with BYOK options
-
Service and Support Included: Flexible backups, zero planned downtime, and follow-the-sun SRE multi-channel support
For additional information, custom pricing, or a private contract, please contact awsmp@scylladb.com .
Highlights
- Maximize use of AWS vCPU instances: achieving up to 100% compute and 90% storage utilization
- Built-in and automated load balancing, routing, and in-memory caching
- Run Cassandra applications unchanged at far lower cost and complexity
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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 the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
ScyllaDB Cloud on AWS | ScyllaDB Cloud sizing is recommended. Contact us at awsmp@scylladb.com | $20,000.00 |
Dimension | Cost/unit |
|---|---|
Usage fees defined by ScyllaDB Cloud Terms of Service | $0.01 |
Dimensions summary
This listing uses a contract pricing model with two dimensions that work together. The first covers usage fees defined by the ScyllaDB Cloud Terms of Service. The second covers ScyllaDB Cloud running on AWS, where the vendor recommends cluster sizing based on your workload. Because sizing drives cost, you contact the vendor to size your deployment before committing. Charges scale with the resources you provision, including instance type, storage, and the service plan you choose. You reach out at awsmp@scylladb.com to get a sizing recommendation and matched pricing for your cluster.
Top-of-mind questions for buyers
Your bill is based on the resources you provision. This includes the instance type (vCPU and RAM of your nodes), the amount of storage used, and the service plan you select. Variable cloud provider network and backup costs may also apply. Because sizing drives cost, you contact the vendor to size your cluster.
No. ScyllaDB Cloud does not charge per individual read or write request. You get the throughput capacity of the underlying hardware you provision. This means cost tracks the resources in your cluster, not the number of queries you run against it.
You pay for the instances and storage in each zone or region. Standard cloud provider data transfer fees apply for replication between zones or regions. Multi-AZ clusters typically span three zones for resilience. Using rack-aware drivers can reduce cross-zone and cross-region transfer costs.
www.scylladb.com
Helpful?
Vendor refund policy
We currently do not support refunds
Custom pricing options
Request a private offer to receive a custom quote.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
ScyllaDB offers various technical support plans to meet your needs. These plans, depending on the tier you choose, can include: Problem Resolution Support: Help identify and fix technical issues. Engineering Support: In-depth assistance from ScyllaDB engineers for complex problems and product fixes. Database Management: Assistance with managing and maintaining your ScyllaDB database. Voice Support: Direct access to ScyllaDB support staff by voice.
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.
Updated weekly
By ScyllaDB, Inc
By MongoDB, Inc
By Supported Images
Top
10
In Feature Engineering, Streaming solutions
Top
10
In Databases & Analytics Platforms, Generative AI
Top
25
In Databases & Analytics Platforms
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Distributed Database Architecture
Close-to-the-metal architecture designed to handle millions of operations per second with predictable single-digit millisecond latencies across multiple availability zones and regions
API Compatibility
100% API compatibility with Apache Cassandra CQL and DynamoDB enabling existing applications to run unchanged
Elastic Scalability
Ability to scale terabytes of data ingestion and transaction processing within minutes with automated load balancing and routing
Real-time Data Processing Integration
Native Kafka and Spark plug-ins for real-time streaming data processing with REST-API and Terraform integration options
Security and Encryption
SOC2, ISO, and PCI-DSS certifications with all data encrypted and bring-your-own-key (BYOK) encryption options available
Vector Search and Semantic Search
Integrated vector search and semantic search capabilities enabling retrieval-augmented generation (RAG) and support for vector embeddings within the database platform.
Multi-Region Clustering and Auto-Scaling
Horizontal and vertical auto-scaling with multi-region cluster deployment, bi-directional auto-scaling, and independent operational/analytics/search nodes for low-latency global performance.
Native Data Encryption and Compliance
Native encryption for sensitive data protection with comprehensive compliance certifications and industry-leading security controls for operational environments.
Fully Managed NoSQL Document Database
Fully managed NoSQL database with document model supporting operational data consolidation, cluster-to-cluster sync, and live migration capabilities.
High Availability and Uptime Guarantee
99.995% uptime SLA with enterprise-grade reliability and resilience designed for mission-critical applications across global enterprises.
Peer-to-Peer Architecture
Utilizes a peer-to-peer architecture enabling horizontal scalability without any single point of failure across distributed systems.
Tunable Consistency Levels
Supports customizable consistency levels allowing developers to balance performance and data consistency based on specific workload requirements.
Multi-Node Data Distribution
Supports data distribution across multiple nodes providing resilience against hardware failures and continuous operation without downtime.
Schema-Free Data Model
Handles structured, semi-structured, and unstructured data with a schema-free design that adapts to diverse application requirements.
Pre-Configured Best Practices
Comes pre-configured with best practices and optimized settings on Ubuntu 22.04 LTS to streamline deployment and reduce setup time.
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
-
-
No security profile
Standard contract
No
Customer reviews
Abhilash N.
Low-Latency, Write-Heavy Performance with CQL Compatibility and Scalability
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
It delivers strong write-heavy performance with low latency. The main use cases for me are IoT and gaming. I also value its CQL compatibility, along with horizontal scalability and high availability.
What do you dislike about the product?
ScyllaDB lacks a native, polished management dashboard out-of-the-box comparable to some competitors. some niche integrations or modern cloud-native tools may not have first-party support or optimized drivers for ScyllaDB specifically, requiring extra configuration.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses high latency, scalability, and throughput challenges in distributed databases. It delivers faster query performance, more efficient resource utilization, and smooth horizontal scaling. For me, this translates into better application reliability, support for growing workloads, fewer operational bottlenecks, and more predictable performance during traffic spikes, while also simplifying overall database infrastructure management.
Anonymous
Efficient for High Write Volumes, But Needs Easier Deployment
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I use ScyllaDB as the session store for my agent runtime, and it handles write-intensive traffic really well, which is essential for our agent swarm service as we need to write to the session store as the agent progresses. I like the strong availability ScyllaDB offers. Additionally, the natural partitioning based on the key aligns perfectly with my service's session ID and client's namespace as partition keys, which helps a lot. The initial setup on ScyllaDB Cloud was pretty easy.
What do you dislike about the product?
I wish the self-deployment could be easier. Having a one-click deployment feature on Google Cloud would be perfect.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for handling write-intensive traffic due to its strong availability and natural key-based partitioning. We switched from Postgres to ScyllaDB as our write volume grew.
Rishabh S.
ScyllaDB is a High-Performance Choice for IoT
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I like ScyllaDB's ability to handle high throughput workloads while maintaining consistently low latency. The horizontal scalability makes it easy to accommodate increasing data volumes and traffic without major performance degradation. I appreciate ScyllaDB's low latency performance, which remains consistent even when workload and traffic increase. The shard per core architecture is a big advantage because it minimizes resource contention and allows the database to make efficient use of available CPU, memory, and storage. Additionally, I find the initial setup straightforward, as we used Docker Compose to set up a 3-node cluster across different physical nodes in the same network. ScyllaDB integrates well with our existing technology stack, helping us manage high-volume data workloads without significant changes to the application architecture.
What do you dislike about the product?
I find the learning curve to be challenging, especially around data modeling, partitioning, and cluster tuning. For new teams, it can be tough to understand data modeling and partitioning best practices and how to design tables around application access patterns. I think more practical examples, guided tutorials, and real-world production scenarios would make this easier.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB to handle high-volume data ingestion and low-latency access with horizontal scalability. It's great for real-time events and time-series data, and it manages high throughput while maintaining consistent low latency, efficiently using CPU, memory, and storage.
Rishabh S.
High Performance, Low Latency, but Setup Could Be Easier
Reviewed on Jul 30, 2026
Review provided by G2
What do you like best about the product?
I like how ScyllaDB makes large-scale distributed data feel simple and allows me to work with its design patterns effortlessly. I really appreciate the automatic distribution and the hot reload performance of 1 million operations per second. One thing I especially like about ScyllaDB is its high performance and predictable low latency, even under heavy workloads. I also value its compatibility with the Cassandra ecosystem, which makes migration and integration straightforward. Features like shard-aware drivers, horizontal scalability, and efficient resource utilization work particularly well for large-scale, high-throughput applications like ours.
What do you dislike about the product?
Overall, my experience with ScyllaDB has been positive, but there are a few areas that could be improved. Initial cluster setup and tuning can be complex, especially for production deployments. Troubleshooting shard-awareness and networking issues also required a good understanding of the architecture. I also think the documentation could include more end-to-end examples and performance tuning guides for large-scale deployments. I would like to see more built-in observability and performance diagnostics. Additionally, although I use ScyllaDB with GUI tools like DataGrip and DBeaver for querying data, browsing tables, and schema management, I feel these tools are often paid and limit users for a better experience interacting with ScyllaDB.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for managing large-scale distributed storage, automatic distribution, and high throughput reloads without cluster degradation. It handles even data distribution, sub-millisecond latencies on read-heavy workloads, and offers compatibility with Cassandra for easy migration, enhancing our scalability and resource utilization.
Chandana .
Exceptional Throughput and Predictable Sub-Millisecond Latency with ScyllaDB
Reviewed on Jul 29, 2026
Review provided by G2
What do you like best about the product?
ScyllaDB provides exceptional throughput and sub-millisecond, predictable latency. Because it is written in C++ rather than Java, we completely eliminated garbage collection pause issues and saw a massive performance boost over Cassandra with far fewer nodes.
What do you dislike about the product?
ScyllaDB delivers high performance, but its ecosystem of third-party monitoring plugins and integrations is still a bit smaller than what you’ll find with older databases such as Apache Cassandra.
What problems is the product solving and how is that benefiting you?
Before we started using ScyllaDB for our distributed systems coursework and hackathon prototypes, we often ran into severe latency spikes and unpredictable Garbage Collection (GC) pauses with traditional Java-based NoSQL databases such as Cassandra, especially under high concurrent loads. ScyllaDB removed that bottleneck by leveraging its C++ architecture along with a shared-nothing, shard-per-core design.
By avoiding JVM overhead, our applications can keep sub-millisecond, predictable latency even when traffic suddenly spikes. And as students working with minimal cloud resources and strict hardware budgets, we’ve found that ScyllaDB delivers much higher throughput on a significantly smaller footprint, helping us maximize single-node CPU and RAM utilization without needing expensive multi-node clusters.
By avoiding JVM overhead, our applications can keep sub-millisecond, predictable latency even when traffic suddenly spikes. And as students working with minimal cloud resources and strict hardware budgets, we’ve found that ScyllaDB delivers much higher throughput on a significantly smaller footprint, helping us maximize single-node CPU and RAM utilization without needing expensive multi-node clusters.