ScyllaDB is a NoSQL database that’s purpose-built for data-intensive apps which require high throughput and predictable low latency. It provides powerful performance at massive scale – for a fraction of the cost of other solutions. 

ScyllaDB’s close-to-the-metal architecture harnesses processor, memory, network, and storage innovation to maximize performance and use less infrastructure. Data is distributed across clustered servers per CPU core and free from resource-sharing operations. ScyllaDB is capable of performing over 1 million operations per second, and it can easily scale from gigabytes to petabytes without any interruption.

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Benefit from high throughput, scalability and efficient storage for data-intensive applications.

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Reduce latency to milliseconds with reliable p99 performance for lightning fast data processing.

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Enjoy consistent, predictable and transparent pricing with no surprises or unexpected charges.

ScyllaDB is an excellent choice for business-critical workloads that need high throughput and predictable, low latency. To understand if it’s right for you, first consider where your workload falls with respect to high throughput and/or low latency.

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Unlocking performance for common NoSQL data models

ScyllaDB is designed for applications working with semi-structured or structured data  – querying that data with known/predictable patterns. High cardinality with evenly distributed access patterns is quite helpful. 

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Key Value

Given its need to quickly retrieve and update data, key-value workloads greatly benefit from ScyllaDB's shard-per-core architecture and close to the metal design, delivering extreme sub millisecond lookups while sustaining hundreds of thousands of updates simultaneously.

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Wide Column

ScyllaDB’s flexibility in schema design supports complex real-time applications. Its feature-complete list of data types, along with indexes and materialized views support, enables you to easily adapt your workloads as new business needs emerge.

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Cache Replacement

In-memory workloads greatly benefit from ScyllaDB's specialized cache implementation. Using ScyllaDB as a persistent store that replaces an external cache simplifies operations and application complexity, enables infrastructure consolidation, and lowers costs.

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Time Series

ScyllaDB's efficient key lookup heuristics and distributed aggregates enable you to look up, retrieve, and process massive amounts of time-series data in real time, building your competitive advantage.

ScyllaDB’s hardware efficiency and unique pricing model make it a compelling choice for many teams. Our pricing model is particularly attractive to teams with write-heavy workloads and moderate to high throughput. For example, teams with 100K ops/sec and 30K writes will find significant savings versus DynamoDB and MongoDB. That advantage diminishes at lower throughput and increases at scale.

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Don’t just take our word for it

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At ScyllaDB, we’re passionate about delivering the best possible solutions for our users. Here’s what some of our customers have to say.
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