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ScyllaDB Open Source

Get better, more consistent performance and lower costs while maintaining the high availability traits and scale-out database designs of Apache Cassandra® and Amazon DynamoDB®.

Advantages of ScyllaDB Open Source NoSQL

Teams around the globe trust ScyllaDB at the heart of their big data architectures.

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Consistent, Low Latencies

ScyllaDB’s underlying architecture enables it to consistently deliver P99 latencies in the low single-digit milliseconds, even under extreme load. Maintenance operations do not slow performance.

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10x Higher Throughput

ScyllaDB uses a highly asynchronous, non-blocking design that takes full advantage of modern hardware architecture. It provides the throughput you need for even the most taxing workloads.

Less Complexity

ScyllaDB has a unified cache and self-optimizes its performance, making it easier to use than Cassandra, which requires complex manual cache and JVM tuning.

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Low Total Cost of Ownership

ScyllaDB makes full use of your hardware infrastructure, minimizing node count and reducing administrative overhead.

Designed for Real-Time Big Data Use Cases

An open source NoSQL database that's purpose-built for modern applications.

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Shard-per-Core

ScyllaDB’s shard-per-core architecture equally divides an instance’s resources, providing an equal slice of CPU, RAM, and storage to a slice of the database.

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Close-to-the-Metal

Built on top of Seastar, an engine written in C++ that leverages low-level Linux capabilities for async communications, memory management, scheduling, prioritization and caching.

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NUMA Optimized

ScyllaDB’s assembly machine code ensures the most-efficient use of modern multi-core, multi-CPU NUMA hardware. This allows ScyllaDB to scale vertically and fully utilize the largest servers found in public clouds.

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All Things Async

ScyllaDB uses an “all things async” architecture, using C++ futures and promises to ensure each sharded process of ScyllaDB can operate efficiently and independently.

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Unified Cache

ScyllaDB’s unified data cache means the most frequently accessed data will be available immediately in memory. In comparison, Cassandra uses multiple cache layers which adds complexity and requires manual tuning.

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I/O Scheduler

Even using fast NVMe disks you don’t want your database bounded by disk I/O. ScyllaDB provides an advanced I/O scheduler to manage concurrency, balancing overall throughput with lowest latencies while accessing persistent storage.

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Self-Optimizing

ScyllaDB was designed with many self-tuning and automatically adaptive capabilities to ensure ease-of-operations. There’s no JVM to tune. This reduces administration from initial set-up and through peak operations.

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Full C* Ecosystem

ScyllaDB is fully compatible with the full set of drivers and connectors for Apache Cassandra, whether you program in C, Java or Python, and whether you need to connect to Apache Spark or Apache Kafka.

Supported Interfaces

ScyllaDB supports two different interfaces: A Cassandra Query Language (CQL) interface and an Amazon DynamoDB-compatible API. We recommend our CQL interface, which supports our full feature set, for all users aside from those who need to maintain DynamoDB API compatibility.

Join the ScyllaDB Community

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