Sold by: ScyllaDB, IncÂ
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.
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
Sold by
Delivery method
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
Vendor terms and conditions
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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
Database Architecture
Distributed NoSQL database with close-to-the-metal architecture handling millions of operations per second
API Compatibility
100% API compatibility with Apache Cassandra CQL and DynamoDB
Data Processing
Native Kafka and Spark plug-ins for real-time streaming data processing
Cloud Integration
Supports REST-API, Terraform, VPC peering, and gateway connectivity for cloud application integration
Performance Optimization
Automated load balancing, in-memory caching, and high compute and storage utilization across AWS vCPU instances
Vector Search Capability
Native vector search integration directly within the operational database, enabling efficient RAG and agentic AI solution development
Data Model Flexibility
Document-based model supporting storage and synchronization of structured, unstructured, and semi-structured data types with dynamic adaptability
Security Compliance
Built-in security features compliant with industry standards including HIPAA, GDPR, ISO 27001, and PCI DSS
AI Application Support
Unified platform for operational, analytical, and AI workloads with seamless data management capabilities
Database Architecture
Single database platform designed to support enterprise-level AI application development and scaling
Distributed Database Architecture
Peer-to-peer architecture supporting horizontal scalability without single point of failure
Data Model Flexibility
Schema-free design capable of handling structured, semi-structured, and unstructured data types
Consistency Management
Tunable consistency levels allowing customization of performance and data integrity for different operations
High Availability Configuration
Supports data distribution across multiple nodes with built-in fault-tolerance and continuous operation capabilities
Scalability Mechanism
Horizontal scaling by adding nodes to increase database capacity while maintaining consistent performance
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
4.4
4 ratings
4 AWS reviews
|
357 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Gustavo L.
Blazing Fast, Effortlessly Scalable NoSQL with Excellent Documentation
Reviewed on Nov 12, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB is fast, highly scalable, and efficiently uses all CPU cores. It handles millions of operations per second with consistent performance, scales easily by adding nodes, and has excellent, practical documentation.
What do you dislike about the product?
It’s self-managed and requires a fairly deep level of technical knowledge to operate effectively.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the performance bottlenecks common in other NoSQL databases.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
Dhruv J.
Cost-Effective with Impressive Performance
Reviewed on Nov 12, 2025
Review provided by G2
What do you like best about the product?
I use ScyllaDB as a NoSQL database for appending message data before transitioning it to downstream services, where its efficiency stands out significantly. ScyllaDB is cheaper than DynamoDB, yet it offers comparable or sometimes even superior performance, which is highly beneficial for cost-effective scalability. I appreciate the SQL-like syntax that ScyllaDB provides, which enhances the usability by making it easier to query and manage data. The shard-per-core architecture is particularly impressive because it allows us to maximize CPU utilization, squeezing out extraordinary levels of performance, which is critical for our intensive processing needs. Additionally, the support team at ScyllaDB has been incredibly active and helpful in troubleshooting, making the transition smooth and instilling confidence in the adoption of their system.
What do you dislike about the product?
I find the lack of support for lightweight transactions (LWT) across nodes or partitions challenging. This limitation makes it difficult to handle transactions in a manner similar to PostgreSQL, where transactions can touch multiple tables in the database. Additionally, I would appreciate built-in support for retries, which is currently lacking and impacts the ease of handling transactions effectively.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a cost-effective NoSQL database with performance comparable to DynamoDB. It optimizes CPU usage with shard per core, supports SQL-like syntax, and aids in appending message data efficiently.
MD F.
Powerful Backend with a Steep Learning Curve
Reviewed on Nov 12, 2025
Review provided by G2
What do you like best about the product?
I use ScyllaDB as the high-performance backend database for my real-time voice chat application, and I am thoroughly impressed by its ability to efficiently manage stateful information with remarkable speed and reliability. ScyllaDB effectively handles a huge volume of reads and writes effortlessly, removing the constant worry of the database becoming a bottleneck. Its reliability allows me to focus on building my application's features instead of constantly tweaking performance. Additionally, its setup was surprisingly straightforward due to Docker, as I simply pulled the official ScyllaDB image and added it to my docker-compose.yml file, which significantly reduced the complexity of installation. Its seamless integration with my Go application via the gocql driver, along with its operation inside Docker as part of my main development stack, underscores its adaptability and ease of use in diverse development environments.
What do you dislike about the product?
I find the learning curve for ScyllaDB quite steep, especially for newcomers to distributed NoSQL databases. Transitioning from a SQL background requires a significant shift in data modeling approach, and understanding concepts like consistency levels, replication, and query patterns isn't straightforward. This complexity can be daunting and requires a dedicated effort to grasp fully.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to manage stateful information quickly for my real-time app, solving speed and scale issues, allowing me to focus on features rather than performance tuning.
Ramakrishna J.
ScyllaDB: Fast Reads & Writes, Ideal for High User Base
Reviewed on Nov 12, 2025
Review provided by G2
What do you like best about the product?
I appreciate ScyllaDB's significant improvement in read and write speeds compared to Cassandra, which is crucial for our project with a large user base of around 80 million. I value the Cassandra compatibility of ScyllaDB, allowing for an easy lift and shift process. Additionally, the shard-per-core architecture is excellent for performance enhancement, particularly in high user base environments. Even though it took some time to understand its architecture initially, the potential for higher performance outweighs the learning curve.
What do you dislike about the product?
ScyllaDB doesn't perform well on small VMs. The initial setup took some time to understand its architecture and internal mechanisms. A relaxed CPU pinning mode could improve stability on over-subscribed cloud hosts.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to improve user authentication with faster read and write speeds than Cassandra, suitable for large user bases. It offers a Cassandra-compatible, shard-per-core architecture for high performance, though it struggles on small VMs.
Prasanth K.
High Performance with Some Setup Challenges
Reviewed on Nov 12, 2025
Review provided by G2
What do you like best about the product?
I appreciate ScyllaDB for its high performance and low latency in handling NoSQL workloads, making it exceptionally useful for real-time applications such as IoT, finance, and technology, particularly when analyzing time-series data. ScyllaDB stands out as a clear replacement for Apache Cassandra, offering support for the DynamoDB API of AWS, which enhances its applicability and flexibility. I love its thread-per-core architecture, which ensures maximum CPU efficiency by eliminating context switching overhead, resulting in ultra-low latency even under heavy loads. This feature, combined with its predictable performance and automated workload isolation, delivers consistent throughput without stability issues, making ScyllaDB ideal for real-time and high concurrency systems. The database excels in key performance metrics such as scalability and cost efficiency, providing 20x better throughput and more predictable performance under heavy load compared to other NoSQL databases like Cassandra, MongoDB, and DynamoDB. I also value the cloud model ScyllaDB offers, along with its strong support for time series data.
What do you dislike about the product?
I find the documentation depth lacking, which makes it difficult to fully grasp all aspects of the software. The setup process could be more user-friendly, possibly through an agent-based setup. There is inadequate support for complex use cases such as migration and cloud integrations like AWS. Additionally, the tools for data export or import need improvement. I faced hardware challenges initially, which were a significant hurdle during the setup of ScyllaDB.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high-performance, low-latency NoSQL workloads, solving scalability and cost efficiency issues. It provides 20x better throughput, predictable performance under heavy load, and is ideal for real-time and high-concurrency systems, clearly outperforming other NoSQL databases.