ScyllaDB Open Source

Get predictable performance at scale – with true elasticity and high availability for data-intensive apps.

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Advantages of ScyllaDB Open Source NoSQL

Teams around the globe rely on ScyllaDB to power their data-intensive, distributed applications.

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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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Up to 4 Million OPS/Node Throughput

ScyllaDB uses a highly asynchronous, non-blocking design that fully takes advantage of modern cloud infrastructure. It provides the throughput needed for even the most taxing workloads. It can rapidly and precisely scale up and out without throttling or overprovisioning.

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, less costly and complex than DynamoDB’s external cache, DAX, and often replaces other external caches such as Redis.
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Low Total Cost of Ownership

ScyllaDB fully utilizes your hardware infrastructure, or the Cloud’s, minimizing node count and reducing administrative overhead.

Announcement

Announcing ScyllaDB Open Source 6.0

The ScyllaDB open source release introduces significant additional functionality and bug fixes, including:

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  • Truly Elastic Topology Changes: In the latest release, ScyllaDB has implemented a new method that combines the Raft consensus algorithm with tablets for rapid, precise, and strongly consistent replication. This results in industry-leading node load balancing automation within and across data centers. It allows faster bootstrapping, scaling, retiring, and migrating data for multiple nodes simultaneously, leading to accelerated service delivery changes. Additionally, it significantly reduces throttling and overprovisioning. For more on the benefits of Tablets, see the ScyllaDB 6.0 web page.
  • Safe Multi-Node Schema Changes: Support DevOps speed-of-change for your data with immediate, strongly consistent, and parallel changes to your schemas.
  • Strongly Consistent Authentication, Authorization, and Service Levels: Parallel updates for AA system operations such as RBAC and user-defined attributes like timeout per workload
  • Native Nodetool: No more Java, even in ScyllaDB Nodetool
  • Tablet-Aware Drivers: While existing drivers work with both prior versions and 6.0, new tablet-aware drivers provide a boost in performance.
Read the Blog

Tips and Tricks for Maximizing ScyllaDB PerformanceA Guide to Getting the Most from Your ScyllaDB Database

Designed for Data-Intensive Applications

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.

Read more about our architecture and the design decisions behind it

How ScyllaDB Compares

ScyllaDB equips application developers and database engineers to run faster, bigger, and smarter.

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2024 ©ScyllaDB | ScyllaDB, and ScyllaDB Cloud, are registered trademarks of ScyllaDB, Inc.

Apache® and Apache Cassandra® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Amazon DynamoDB® and Dynamo Accelerator® are trademarks of Amazon.com, Inc. No endorsements by The Apache Software Foundation or Amazon.com, Inc. are implied by the use of these marks.