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:
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Extreme elasticity: scale terabytes of data ingestion and transaction processing in minutes
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Affordable at scale: multiple self-service payment options and transparent metered billing avoid bill shock
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100% API compatibility with Apache Cassandra CQL and DynamoDB
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Real-time streaming data processing: native Kafka and Spark plug-ins
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Easily integrate with your cloud apps: REST-API, Terraform, VPC peering, and gateways deliver low-cost plug-n-play connectivity
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Bring Your Own Account (BYOA): Options to keep your data in your domain
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State-of-the-Art Security: SOC2, ISO, and PCI-DSS certifications. All data encrypted with BYOK options
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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
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Deployed on AWS
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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 |
Vendor refund policy
We currently do not support refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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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.
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By ScyllaDB, Inc
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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
Real-time Data Processing Integration
Native Kafka and Spark plug-ins for real-time streaming data processing
Elastic Scalability
Ability to scale terabytes of data ingestion and transaction processing in minutes with automated load balancing and routing
Security and Encryption
SOC2, ISO, and PCI-DSS certifications with all data encrypted and bring-your-own-key (BYOK) 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 High Availability
Multi-region cluster deployment with 99.995% uptime SLA and low-latency performance across distributed geographic locations
Auto-Scaling Architecture
Horizontal and vertical auto-scaling capabilities with elastic clusters, bi-directional auto-scaling, and independent operational, analytics, and search nodes for dynamic workload management
Enterprise Security and Compliance
Native encryption, comprehensive compliance certifications, and industry-leading security controls for data protection and regulatory adherence
NoSQL Document Database
Fully managed NoSQL database with document model supporting operational data consolidation and seamless integration with AWS services including Amazon Bedrock
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.
Schema-Free Data Model
Handles structured, semi-structured, and unstructured data with a schema-free design that adapts to diverse application needs.
Multi-Node Data Distribution
Supports data distribution across multiple nodes providing resilience against hardware failures and continuous operation without downtime.
Pre-Configured Deployment
Comes pre-configured with best practices on Ubuntu 22.04 LTS enabling rapid deployment and seamless integration with AWS services.
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
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No security profile
Standard contract
No
Customer reviews
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.
Rabih T.
Evaluation
Reviewed on Jun 25, 2026
Review provided by G2
What do you like best about the product?
Ease of use, Ease of Implementation, number of features
What do you dislike about the product?
nothing sepesific yet still assessing, did not try yet Customer Support
What problems is the product solving and how is that benefiting you?
did not decide yet on how to use it and for what; still evaluating
Augusto Wagner F.
Low-Latency, High-Throughput Kafka Integration—Best Database I’ve Used
Reviewed on May 07, 2026
Review provided by G2
What do you like best about the product?
The integration with Kafka offers low latency and high throughput.
What do you dislike about the product?
Nowadays, I don’t dislike it at all; for me, it’s the best database in the world.
What problems is the product solving and how is that benefiting you?
It helps us solve real-time event problems. We used to work only with Kafka, but now we can work with ScyllaDB too.
Mallik c.
Unmatched Performance and Scalability, but Steep Learning Curve
Reviewed on Apr 28, 2026
Review provided by G2
What do you like best about the product?
I like ScyllaDB for its impressive performance and speed, offering 10 times more performance compared to Cassandra. It's rewritten in C++ instead of Java, which provides predictable low latency, like p99 latencies under heavy load, and overcomes JVM limitations. I also appreciate its ability to tune settings, reducing administrative overheads and making it cost-efficient as well.
What do you dislike about the product?
It could be the steep learning curve. You know, optimizing and, managing the ScyllaDB at scale, it requires deep knowledge of distributed systems. Especially around the horizontal scaling using the shard key selections and data modeling. Sometimes it warrants a complex data modeling, because this is crucial. To avoid those expensive mistakes at a later stage. The third one would be a, smaller community. So even though it is growing, but there is still a smaller community, compared to the Postgres and other databases available.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for its flexible schema and horizontal scaling, solving our high-performance application needs with low latency, particularly during heavy loads like 'Black Friday'. Its performance outpaces peers, offering cost efficiency by eliminating administrative overheads.