Sold by: ScyllaDB, IncÂ
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 method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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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.
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 |
Vendor refund policy
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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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/Â
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
Top
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
Database Architecture
Wide-column NoSQL database with support for distributed data storage and processing
API Compatibility
Native compatibility with Apache Cassandra CQL and Amazon DynamoDB query interfaces
Performance Optimization
Self-tuning and self-optimizing database system with automatic performance configuration
Hardware Efficiency
Designed to fully leverage NUMA multiprocessor architectures and high-speed storage technologies
Scalability
Supports high-throughput workloads with capability to handle millions of transactions per second per database node
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
-
No security profile
Standard contract
No
Customer reviews
4.4
4 ratings
4 AWS reviews
|
348 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.
Computer Software
Good NoSQL Database for Small Scale Startups
Reviewed on Nov 03, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB is very fast. It handles high load without slowing down. The partition system works well and keeps data safe and balanced.
What do you dislike about the product?
The customer support is great but unlike cassandra you won't find much help from the community.
What problems is the product solving and how is that benefiting you?
It gives strong performance and low delay. The system stays stable even when some nodes fail. It helps us run our apps smoothly most of the time.
Computer Software
ScyllaDB Makes Our System Fast and Always Available
Reviewed on Nov 02, 2025
Review provided by G2
What do you like best about the product?
The system stays available all the time, even with heavy load.
Indexing is simple and helps to find data quickly.
The built-in Grafana dashboard is very helpful. It gives a clear view of performance and health.
Indexing is simple and helps to find data quickly.
The built-in Grafana dashboard is very helpful. It gives a clear view of performance and health.
What do you dislike about the product?
Nice to have built-in user and access management, so we don’t need to cerate access management on our own.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB in our main projects for handling large data.
It helps us keep our systems fast, stable, and always online.
The performance and low latency improve our data pipeline speed.
It helps us keep our systems fast, stable, and always online.
The performance and low latency improve our data pipeline speed.
Computer Software
Fast Log Storage and Better Performance with ScyllaDB
Reviewed on Oct 29, 2025
Review provided by G2
What do you like best about the product?
We use ScyllaDB to store all our log data. It is very fast to write and read. Our data science and machine learning team use this data to make predictions. The queries run much faster now. The system is smooth even when the logs size grows.
What do you dislike about the product?
it would be nice if ScyllaDB had its own user and access management, so we don’t need extra tools for that.
What problems is the product solving and how is that benefiting you?
Improved performance and latency.
Out data pipelines has become faster and improved.
Better developer experience.
Out data pipelines has become faster and improved.
Better developer experience.
Computer Software
Great Performance and Low Latency at Scale
Reviewed on Oct 28, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB gives very low latency even when our product has a lot of traffic. Scylladb's sharding system is amazing, also helps to spread the data across nodes, so no single node gets overloaded. we are able to handle millions of requests without any performance issues.
What do you dislike about the product?
There is nothing major to dislike about scylladb. Only the community support is less as compared to other alternatives.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us keep our product running fast even with heavy load. Our latency is improved of querying the data. The database scales easily, and we can add more nodes when traffic increases. This makes it a strong choice for our large-scale system.
Diya P.
Good Database for Big Data Jobs
Reviewed on Oct 24, 2025
Review provided by G2
What do you like best about the product?
It handles big read and write loads without slowing down. The data is divided into shards, so each node takes care of its part. This makes the system fast and stable. The data moves easily between nodes, and the jobs finish faster.
What do you dislike about the product?
There is nothing much to dislike. But it would be nice if ScyllaDB can have full user management and authentication built in. That way, we would not need to use other tools for access control.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us process big data in real time. It stores large datasets that we use for our Spark jobs and analytics. The speed and low latency helps us get results quickly. It also scale easily, so we can add more nodes when our data become very lerge. This makes it very helpful for our big data system.