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
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
|
334 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
Fast and Reliable Database for Heavy Workloads
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
Performance and latency are two key important thing that it's specialized for. But, The sharding system works well in our usecase. Each node manages its own part of data, so the load is balanced. Even when traffic grows, the database stays stable. The replica system also helps. Query times are low, and I don’t have to worry about slow responses. Community and customer support is amazing here.
What do you dislike about the product?
The learning curve is a bit high at the start, especially when dealing with partitions and compactions.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps our business by making data access faster and more reliable. We use it for analytics and real-time processing. It scales easily, so we can add more nodes when needed. This makes it great for systems that must stay online all the time
Computer Software
Good NoSQL Database for storing ML training Data
Reviewed on Oct 06, 2025
Review provided by G2
What do you like best about the product?
ScyllaDB is very fast and handles a huge amount of data without any performance issues. We store large datasets for training our machine learning model, and it works smoothly even when the data keeps growing. Our setup is simple, and once it starts running, it needs very little care. (Thanks to Scylladb)
What do you dislike about the product?
Nothing to dislike anything regarding performance and latency. Native data adapters still does not exist. AFAIK, we can not get live updates on any change in the data via any events or sockets. But I believe lots of features will eventually be added 🚀.
What problems is the product solving and how is that benefiting you?
It saves the time, reduces delays. We are using ScyllaDB to store and manage crop and soil data for our ML model. The model predicts which soil, weather, and crop types are best for suitable environment. It also helps us test hybrid seed options. ScyllaDB makes it easy to handle and fetch this large data quickly, which helps our model train faster and give better results.
Computer Software
Fast and Reliable Log Analytics with ScyllaDB
Reviewed on Oct 03, 2025
Review provided by G2
What do you like best about the product?
Indexing helps us filter and query logs quickly.
Scales well as log volume grows.
Reliable even with heavy workloads.
Scales well as log volume grows.
Reliable even with heavy workloads.
What do you dislike about the product?
Needs strong hardware to get best speed.
What problems is the product solving and how is that benefiting you?
Real-time analytics is possible without delay.
Helps us detect issues faster and improve system monitoring.
Reducing the latency in retrieving the data and making better User Experience in end user applications.
Helps us detect issues faster and improve system monitoring.
Reducing the latency in retrieving the data and making better User Experience in end user applications.
Computer Software
Fast and reliable NoSQL database for large data at scale
Reviewed on Oct 03, 2025
Review provided by G2
What do you like best about the product?
We generate millions of data points and large 3D images every day. ScyllaDB helps us store all of this without compromising the performance. We are able to retrieve data, even when the volume is very high. It works well for both small queries and big workloads, which makes it very useful for our product.
What do you dislike about the product?
Nothing to dislike about Scylladb, just exceptional performance and +1 to the community and customer support.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us handle millions of data points and large 3D images, storing and retrieving them fast. This makes our system more reliable and keeps performance smooth even at scale.
Computer Software
Best NoSQL database | Focusing on performance and latency
Reviewed on Oct 01, 2025
Review provided by G2
What do you like best about the product?
It can handle a lot of data without slowing down, and the indexes make it easy to find the data we need quickly. Scylladb also organizes various events and masterclass which letting me know the new updates and things coming to it's newer versions.
What do you dislike about the product?
Nothing to dislike but some features like search or graph are not built-in.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us store and process large datasets. It gives quick results with low delay, even when the data grows. This makes our system more reliable and keeps performance smooth. Helping us to reduce the cost of database and infrastructure.