Sold by: ScyllaDB, Inc
Deployed on AWS
ScyllaDB Cloud is a fully managed NoSQL DBaaS. Built on a close-to-the-metal architecture, it handles millions of ops/sec with predictable single-digit msec latencies. It is ideal for data-intensive apps, including user profiling and recommendations, ML inference, IoT, and fraud detection.
4.5
Overview
ScyllaDB Cloud is a fully managed distributed database designed to help organizations run modern, data-intensive applications at scale across multiple availability zones and regions. It achieves this using fewer resources, reducing costs, and simplifying complexity. It is trusted by industry leaders, including TripAdvisor, Fanatics, Electronic Arts, Freshworks, Tubi, Disney, GumGum, iFood, and many others.
Key features include:
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Extreme elasticity: scale terabytes of data ingestion and transaction processing in minutes
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Affordable at scale: multiple self-service payment options and transparent metered billing avoid bill shock
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100% API compatibility with Apache Cassandra CQL and DynamoDB
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Real-time streaming data processing: native Kafka and Spark plug-ins
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Easily integrate with your cloud apps: REST-API, Terraform, VPC peering, and gateways deliver low-cost plug-n-play connectivity
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Bring Your Own Account (BYOA): Options to keep your data in your domain
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State-of-the-Art Security: SOC2, ISO, and PCI-DSS certifications. All data encrypted with BYOK options
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Service and Support Included: Flexible backups, zero planned downtime, and follow-the-sun SRE multi-channel support
For additional information, custom pricing, or a private contract, please contact awsmp@scylladb.com .
Highlights
- Maximize use of AWS vCPU instances: achieving up to 100% compute and 90% storage utilization
- Built-in and automated load balancing, routing, and in-memory caching
- Run Cassandra applications unchanged at far lower cost and complexity
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
ScyllaDB Cloud on AWS | ScyllaDB Cloud sizing is recommended. Contact us at awsmp@scylladb.com | $20,000.00 |
Dimension | Cost/unit |
|---|---|
Usage fees defined by ScyllaDB Cloud Terms of Service | $0.01 |
Vendor refund policy
We currently do not support refunds
Custom pricing options
Request a private offer to receive a custom quote.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
ScyllaDB offers various technical support plans to meet your needs. These plans, depending on the tier you choose, can include: Problem Resolution Support: Help identify and fix technical issues. Engineering Support: In-depth assistance from ScyllaDB engineers for complex problems and product fixes. Database Management: Assistance with managing and maintaining your ScyllaDB database. Voice Support: Direct access to ScyllaDB support staff by voice.
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.
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By ScyllaDB, Inc
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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
Distributed Database Architecture
Close-to-the-metal architecture designed to handle millions of operations per second with predictable single-digit millisecond latencies across multiple availability zones and regions
API Compatibility
100% API compatibility with Apache Cassandra CQL and DynamoDB enabling existing applications to run unchanged
Real-time Data Processing Integration
Native Kafka and Spark plug-ins for real-time streaming data processing
Elastic Scalability
Ability to scale terabytes of data ingestion and transaction processing in minutes with automated load balancing and routing
Security and Encryption
SOC2, ISO, and PCI-DSS certifications with all data encrypted and bring-your-own-key (BYOK) options available
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
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No security profile
Standard contract
No
Customer reviews
Vaibhav Y.
Best Performance and Low Latency with NoSQL Database (ScyllaDB)
Reviewed on Feb 24, 2026
Review provided by G2
What do you like best about the product?
I like ScyllaDB's performance, especially because it's impacted by its indexing and the whole database being written in C++, which serves as the building block for a faster NoSQL DB. It's great for storing our ERP system, especially as we introduce new features and are unsure about the schema size. This NoSQL wide column structure allows us to store a wide range of data. Performance is great compared to MongoDB, and it has very low latency. We experienced a decrease in latency while debugging through the log.
What do you dislike about the product?
I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase.
What problems is the product solving and how is that benefiting you?
With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly.
Computer Software
Strong Performance for ML Pipeline with ScyllaDB
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
ScyllaDB gives very high performance for our ML pipeline. It uses shard-per-core design, so each CPU core handles its own data. Because of this, read and write speed is very high. It supports high throughput and keeps latency very low even when we store and fetch large training data.
What do you dislike about the product?
Data modeling needs to be done carefully. We must design partition keys properly to get best speed. Monitoring and tuning need some effort when data grows very large.
What problems is the product solving and how is that benefiting you?
We store large ML training and inference data in ScyllaDB. During model training, data is read very fast without delay. High throughput helps us process many records at the same time. Because of this, our ML pipeline runs faster and we complete training jobs in less time.
Ravi S.
ScyllaDB performs well in every measurable way, throughput, latency, cost, and efficiency.
Reviewed on Feb 05, 2026
Review provided by G2
What do you like best about the product?
Scylladb change in their license policy, which will have an effect for anyone who is self-hosting and using the non-enterprise version.
What do you dislike about the product?
poor documentation with limited features
What problems is the product solving and how is that benefiting you?
ScyllaDB performs well than Cassandra in nearly every measurable way, throughput, latency, cost, and efficiency.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
Kaushik V.
Low Latency That Delivers at Scale
Reviewed on Feb 04, 2026
Review provided by G2
What do you like best about the product?
What I like best about ScyllaDB is its performance and efficiency at scale.
What do you dislike about the product?
One thing I dislike about ScyllaDB is that its advanced architecture can raise the learning curve, especially for teams new to distributed systems or coming from traditional databases. Understanding concepts like shard-per-core, tuning, and operational best practices takes time.
What problems is the product solving and how is that benefiting you?
scaling high-throughput, low-latency workloads without excessive infrastructure cost or operational complexity
Legal Services
Best NoSQL Database for Storing non-text data (e.g. BSON)
Reviewed on Dec 23, 2025
Review provided by G2
What do you like best about the product?
Below are the things that I like the most about ScyllaDB:
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
What do you dislike about the product?
Nothing to dislike about Scylladb but in our use-case Query patterns must be fixed early.
What problems is the product solving and how is that benefiting you?
- Scylladb Helps us manage huge legal document data easily
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput