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
Vendor terms and conditions
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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
Top
10
In Databases & Analytics Platforms, Generative AI
Top
25
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
4.5
2 ratings
2 AWS reviews
|
326 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
Best Database for Real Time Gaming Systems
Reviewed on Sep 01, 2025
Review provided by G2
What do you like best about the product?
- Handles huge amounts of data with no slowdown
- Very low delay, best for real-time apps like gaming
- Easy to add new servers and balance data
- Runs on any cloud
- Very low delay, best for real-time apps like gaming
- Easy to add new servers and balance data
- Runs on any cloud
What do you dislike about the product?
- Some features like graph queries or search are missing
- Not always easy for beginners to learn
- Not always easy for beginners to learn
What problems is the product solving and how is that benefiting you?
- We use it to track live user data in games (Real time gaming)
- Can handle millions of actions from players at the same time
- Data is safe and always available, even if a server fails
- Makes our platform fast and smooth for users
- Can handle millions of actions from players at the same time
- Data is safe and always available, even if a server fails
- Makes our platform fast and smooth for users
Computer Software
Best NoSQL Database for Performance and Latency
Reviewed on Aug 21, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB is very fast and can handle a lot of with great efficiency. It works well for real-time use, heavy writes, and large-scale systems like IoT or analytics. Adding new nodes is quick and easy, and the data gets balanced automatically. It also works with Cassandra, so moving to it is simple. I also like that it runs on any cloud and supports containers.
What do you dislike about the product?
Some features, like graph queries or advanced search, are missing compared to other databases. It can also take time to learn and set up, and the docs could use more real-world examples. Like most NoSQL systems, you have to deal with things like eventual consistency and fewer options for joins or transactions.
What problems is the product solving and how is that benefiting you?
We wanted a database that can scale easily and stay fast even with very large data. ScyllaDB lets us store and process data across different regions and keep it available all the time. It helps with real-time analytics, security data, and other workloads that need low latency.
Nikhil K.
Fast and cost-friendly database for indexing and search
Reviewed on Aug 19, 2025
Review provided by G2
What do you like best about the product?
ScyllaDBs handling of indexing and search is very efficient. Even when the data grows, queries still run smoothly. It uses hardware well that we do not need any setup work, the speed can be quite high as the software does not put extra burden on.
What do you dislike about the product?
Cluster scaling works well, but setting it up the first time can be a bit tricky.Monitoring tools could be easier to use for new users
What problems is the product solving and how is that benefiting you?
We use ScyllaDB for fast lookups and indexing. It makes it easier to scale as our data gets bigger. We don’t need to spend extra on hardware, so it helps us cut costs and stay efficient.
Computer Software
ScyllaDB For Health Data Analysis
Reviewed on Aug 13, 2025
Review provided by G2
What do you like best about the product?
For health tech, where timeliness can affect the quality of treatment, etc, ScyllaDB's distributed architecture guarantees speedy reads/writes and consistency otherwise Its support for Apache Cassandra APIs also made transition more convenient although we did not have to rewrite our entire application logic.
What do you dislike about the product?
Better out-of-the-box integration with healthcare data compliance frameworks (HIPAA, GDPR) would be helpful for faster onboarding in regulated industries, otherwise everything seems perfect with scyllaDB.
What problems is the product solving and how is that benefiting you?
Patient vitals, lab results, and device data are all watched in real time to catch problems early. Now our health-tech system runs on ScyllaDB. It stores billions of time-stamped records and can check them in less than a millisecond. This makes for almost instant AI as well as machine learning at scale. For example, in the event that a patient 's ECG or blood pressure shows something untoward, we can immediately send in data to doctors who are near real-time processing and fast alerts get through quickly. It is ScyllaDB 's speed and reliability that makes this possible.
Computer Software
Super fast and reliable NoSQL Database for recommendation systems
Reviewed on Aug 06, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB is very fast. We store a lot of user data like clicks, views, and preferences, and it handles everything smoothly. It’s easy to scale when we need more performance because of it's auto-scaling mechanism which is really very efficient. Due to it's lockless, shared-nothing architecture it's able to handle concurrent reads and writes very efficiently.
What do you dislike about the product?
You’ll need some time to understand how to design the data model the right way, otherwise everything is good.
What problems is the product solving and how is that benefiting you?
Our user recommendation system is powered by ScyllaDB. It enables us to present the appropriate goods and information to the appropriate audience at the appropriate moment. Without slowing down, it manages thousands of user actions daily. Our users now receive better recommendations, and our system is more efficient and reliable than before.