Sold by: ScyllaDB, Inc
Deployed on AWS
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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
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Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
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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.
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.
Dimension | Cost/hour |
|---|---|
i3.4xlarge Recommended | $1.63 |
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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
Additional details
Usage instructions
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.
Updated weekly
By ScyllaDB, Inc
By MongoDB, Inc
By Supported Images
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10
In Databases, Databases & Analytics Platforms
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In Databases & Analytics Platforms, Generative AI
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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
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.
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
Narasimha R.
ScyllaDB Delivers Extreme Performance, Low Latency, and Exceptional Scalability
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
ScyllaDB are its extreme performance, low latency, and exceptional scalability. It is widely considered a superior, high-performance alternative to Apache Cassandra, often allowing users to handle larger workloads with fewer nodes.
What do you dislike about the product?
the main drawbacks of ScyllaDB revolve around its steep learning curve, operational complexity, and the specialized, high-resource hardware required to achieve its promised performance
What problems is the product solving and how is that benefiting you?
ScyllaDB solves high-volume data, and, unpredictable,,latency bottlenecks by replacing inefficient Java-based systems (like Cassandra or MongoDB) with a C++ shard-per-core architecture. It provides sub-millisecond, consistent performance at petabyte scale, drastically reducing infrastructure,costs, eliminating manual tuning, and ensuring high,availability
Computer Software
Low-Latency Queries, Smooth Overall Experience
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
What I like best about ScyllaDB is its high performance and low latency. It’s designed to fully utilize modern hardware, which makes it extremely efficient for handling large-scale workloads while remaining compatible with Cassandra.
What do you dislike about the product?
One downside is that ScyllaDB can be more complex to tune and operate effectively, especially for teams that are new to distributed databases. Understanding data modeling and cluster management is important to get the best performance.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the problem of handling large-scale data with low latency and high throughput. Its efficient architecture allows systems to process huge volumes of requests without significant performance degradation. This benefits me by providing a reliable and scalable database that can support demanding applications.
Kumar A.
Lightning-Fast and Reliable, Needs Better Indexing
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
I find ScyllaDB to be very fast and robust, which is crucial for my analytics and transactions tasks. I really appreciate the speed it offers, and the faster write capabilities make it stand out for me.
What do you dislike about the product?
Indexing
What problems is the product solving and how is that benefiting you?
ScyllaDB provides me speed and robustness for analytics and transactions.
Hans D.
Scalable and Efficient with Compatibility Plus
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
I like ScyllaDB's impressive performance and efficiency, delivering very low latency even under heavy workloads. Its excellent use of available hardware allows us to handle large datasets with fewer nodes, which helps in reducing operational costs. The seamless compatibility with Apache Cassandra is also a big plus, as it makes adoption easier while we still benefit from significant performance improvements and scalability. I value how it allows us to keep our APIs responsive and services stable during traffic spikes.
What do you dislike about the product?
One area that could be improved in ScyllaDB is the operational learning curve. While it performs extremely well once properly configured, tuning and managing clusters can require solid distributed systems knowledge. Some ecosystem tools and documentation are also less mature compared to Apache Cassandra, so troubleshooting or advanced setups may take additional effort.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a scalable database for high throughput and low latency needs. It handles large data volumes without bottlenecks, maintains low latency under load, and efficiently manages datasets. Its Cassandra compatibility eases integration while providing predictable performance and better hardware utilization.
Suyash S.
Effortless Scaling with Blazing Query Speed
Reviewed on Mar 12, 2026
Review provided by G2
What do you like best about the product?
I appreciate that ScyllaDB allows us to easily scale our database to monstrous levels. I like the fast querying feature, making our reads for data engineering workloads much faster. The initial setup of ScyllaDB was super easy, which was a significant plus.
What do you dislike about the product?
Nothing comes to mind
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for monstrous scale and fast querying, enabling faster reads for DE workloads and easier database scaling.