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    ScyllaDB Enterprise

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    Deployed on AWS
    Free Trial
    ScyllaDB Enterprise NoSQL database
    4.5

    Overview

    ScyllaDB Enterprise is the high-performance NoSQL database for real-time big data workloads. It is a wide-column store with APIs compatible with Apache Cassandra CQL and Amazon DynamoDB. ScyllaDB Enterprise is self-tuning upon installation and self-optimizing in production, which means users get optimal performance without spending time constantly tweaking the system. It just runs consistently fast, with consistent low latency. ScyllaDB is designed to take full advantage of NUMA multiprocessor architectures and fast storage, such as those found in AWS I3, i3en, and i4i series instances.

    Highlights

    • Build highly scalable, highly performant NoSQL-based applications that can support high-throughput (millions of transactions per second per database node) and maintain consistent low single-digit millisecond latencies.
    • APIs compatible with Apache Cassandra CQL and Amazon DynamoDB.
    • With ScyllaDB hardware efficiency and predictable pricing, users reduce their TCO up to 70% without compromising performance.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Deployed on AWS
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    Buyer guide

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    Buyer guide

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    Pricing

    Free trial

    Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    ScyllaDB Enterprise

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

     Info
    Dimension
    Cost/hour
    i3.4xlarge
    Recommended
    $1.63

    Custom pricing options

    Request a private offer to receive a custom quote.

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    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) .

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    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.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Resources

    Vendor resources

    Support

    Vendor support

    Scylladb Enterprise support ensures that users have access to the engineers who develop Scylla via the channels they prefer - the web support, email, Slack, etc. https://www.scylladb.com/scylladb-support-policy/ 

    For additional information, custom pricing, or a private contract, please contact info@scylladb.com .

    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.

    Product comparison

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    Updated weekly
    By ScyllaDB, Inc
    By Supported Images

    Accolades

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    Top
    10
    In Databases, Databases & Analytics Platforms
    Top
    10
    In Databases & Analytics Platforms, Generative AI
    Top
    25
    In Databases & Analytics Platforms

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    0 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Wide-Column Store Architecture
    NoSQL database with wide-column store design supporting high-throughput workloads and real-time big data processing
    API Compatibility
    Compatible with Apache Cassandra CQL and Amazon DynamoDB APIs
    Self-Tuning and Self-Optimizing
    Automatic performance tuning upon installation and continuous optimization in production without manual system configuration
    NUMA Architecture Optimization
    Designed to leverage NUMA multiprocessor architectures and fast storage devices including AWS I3, i3en, and i4i series instances
    Low-Latency Performance
    Delivers consistent single-digit millisecond latencies with support for millions of transactions per second per database node
    Native Vector Search Integration
    MongoDB Atlas integrates native vector search directly into the operational database, enabling RAG and agentic AI solutions without requiring separate search infrastructure.
    Flexible Document Model
    Supports storage and synchronization of structured, unstructured, and semi-structured data types with dynamic schema capabilities for AI-driven applications.
    Multi-Workload Unification
    Consolidates operational, analytical, and AI workloads within a single database platform.
    Industry Compliance Standards
    Complies with HIPAA, GDPR, ISO 27001, and PCI DSS standards with built-in security features and encryption.
    Elastic Scalability
    Supports both vertical and horizontal scaling with configurable cluster configurations to accommodate varying application demands.
    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.

    Security credentials

     Info
    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    -
    No security profile

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    432 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    29%
    2%
    0%
    0%
    4 AWS reviews
    |
    428 external reviews
    External reviews are from G2  and PeerSpot .
    VIKAS PANDEY 2.

    Low latency but difficult to use initially

    Reviewed on Mar 19, 2026
    Review provided by G2
    What do you like best about the product?
    i like many things about it, but the best one is the low latency that it gave even when the data that i had was very large
    What do you dislike about the product?
    i think that initially it is not very easy to use, as a new user, I had difficulty in understanding its configuration
    What problems is the product solving and how is that benefiting you?
    we dont need too much hardware to do the job, the system itself works very well without dramatically increasing the budget
    Sivaguru Jeganatharaja J.

    High-Performance with Cost Efficiency, Yet Needs Better Monitoring Support

    Reviewed on Mar 13, 2026
    Review provided by G2
    What do you like best about the product?
    I like ScyllaDB for its significant cost savings and compatibility with Cassandra. The operational simplicity and robust ecosystem make it efficient to use. I value the high performance on fewer nodes, which reduces infrastructure costs due to CPU optimization and the ability to work with smaller clusters. The auto-tuning and self-optimization features help cut down on manual DBA overhead. I also appreciate the strong community and OEM support, which reduce downtime risks and facilitate adoption across production environments. Additionally, I found the initial setup to be very easy, especially with managed services, and the process is familiar for Cassandra users but simplified for new users, particularly with automated tuning scripts.
    What do you dislike about the product?
    The learning curve around the shard-per-core architecture and tuning is steep for new team members who are not familiar with it. Monitoring integration and developer SDK still lag behind other databases like Cassandra. Although ScyllaDB's native monitoring stack with Prometheus and Grafana works well, it requires manual setup and configuration compared to managed DB services like Azure and AWS, and using popular observability tools like New Relic or DataDog with pre-built alerting templates for common failures would be much better than having to write numerous queries in Prometheus.
    What problems is the product solving and how is that benefiting you?
    ScyllaDB helps me overcome scaling bottlenecks, reduce high operational costs, and manage data-intensive applications. Its high performance on fewer nodes optimizes CPU use, saving infrastructure costs. Auto-tuning reduces DBA overhead, while strong community and OEM support minimize downtime risks.
    Pruthvi K.

    Scalability and Low Latency Champion

    Reviewed on Mar 13, 2026
    Review provided by G2
    What do you like best about the product?
    I really appreciate ScyllaDB's scalability, which is the number one thing I like about it. It allows me to combine multiple events and orchestrate between them seamlessly. ScyllaDB handles low latency well, letting me scale up easily, especially with large training datasets involving 100,000 plus people. It also manages real-time workloads efficiently, helping me coordinate multiple events smoothly.
    What do you dislike about the product?
    NA
    What problems is the product solving and how is that benefiting you?
    ScyllaDB provides low latency, allowing me to scale easily and handle real-time workloads efficiently. It supports my conversational AI by retrieving data for chat functionality and orchestrating multiple events.
    Justin M.

    Fast, Efficient, and User-Centric Database Solution

    Reviewed on Mar 12, 2026
    Review provided by G2
    What do you like best about the product?
    I like how open and involved the employees at ScyllaDB are. It just seems like they really care about the user experience and really care about their user base.
    What do you dislike about the product?
    No obvious issues at this time
    What problems is the product solving and how is that benefiting you?
    I use ScyllaDB for storing data in an easy-to-retrieve and performant manner. It isnt used by our team yet but its something we've started looking into
    Samuel O.

    Efficient Terminal Commands, Needs Better Usability for Beginners

    Reviewed on Mar 12, 2026
    Review provided by G2
    What do you like best about the product?
    I like that ScyllaDB is more flexible for me compared to MongoDB, and the terminal structure and commands are better to use. I also find the teaching at the summit very good because it helps me see my mistakes and learn from them. Using the cqlsh terminal to interact with the cluster efficiently through CQL queries is great, and ScyllaDB's use of shard per core architecture maximizes performance and reduces latency in a distributed database.
    What do you dislike about the product?
    I think improving the setup guide and helping new users understand the distributed database concept. A clear dashboard-like insight to help developers in observability tools and expanding integration with cloud native ecosystems can make it more powerful for developers.
    What problems is the product solving and how is that benefiting you?
    I find using the cqlsh terminal efficient for interacting with clusters, and ScyllaDB maximizes performance with its shard per core architecture to reduce latency.
    View all reviews