Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
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Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
Learn MoreScyllaDB is purpose-built for data-intensive apps that require high throughput & predictable low latency.
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Read MoreScyllaDB supports the CQL binary protocol version 3 so every Cassandra/CQL driver that implements it should work with ScyllaDB. We recommended you use Scylla drivers wherever possible.
ScyllaDB Java Driver for ScyllaDB and Apache Cassandra, based on the DataStax Java Driver.
Get Java DriverA Python client driver for ScyllaDB, this driver works exclusively with the Cassandra Query Language v3 (CQL3) and Cassandra’s native protocol.
Get Python DriverScyllaDB’s shard-aware GoCQL implements a fast and robust client for the Go programming language.
Get Go DriverAll-In-One: CQL query builder, ORM and migration tool.
Get Go Extension DriverYou can find more 3rd party drivers on our docs site.
Get 3rd Party DriversFor more information about annual pricing plans, paying via invoice, complementary products, and support plans available for ScyllaDB Cloud, please contact sales.
Download and install ScyllaDB Open Source on Docker, AWS, GCP, RHEL 8, CentOS 8, Debian, or Ubuntu, or compile the source from GitHub.
ScyllaDB maintains the current and previous releases of ScyllaDB Open Source. Users are encouraged to update to the latest release.
Select the platform and version you want to run by using the dropdown menus below:
How ScyllaDB Products Compare: See a comparison of features
ScyllaDB Enterprise includes a ScyllaDB Enterprise license, tested and certified binaries, cluster administration and task automation, hot fixes, 24/7 technical support, and ScyllaDB Manager.
We built our enterprise database software from the ground-up in C++ to address the key issues of node sprawl, inconsistent performance, administrative overhead and high costs of Apache Cassandra, Amazon DynamoDB and other NoSQL databases.
ScyllaDB Manager helps teams manage their ScyllaDB clusters. It performs regular health checks on server nodes, ensuring awareness of any node degradation or downtime. It automates repetitive tasks such as node rebuilds and repairs, automates data backups, and enables faster troubleshooting. Available for users of ScyllaDB Enterprise and ScyllaDB Open Source (5 node limit).
Select the platform and version you want to run by using the dropdown menus below:
ScyllaDB Enterprise Customer? Get ScyllaDB Manager from the Customer Portal
Combining three components (Prometheus metric collector, alert manager, and Grafana 6 dashboards) ScyllaDB Monitoring Stack provides real-time and historical trend information on ScyllaDB clusters.
Get the latest version of ScyllaDB Monitoring Stack
Additional Information: ScyllaDB Monitoring Support Matrix
ScyllaDB Operator is an open source project for users of ScyllaDB Open Source and ScyllaDB Enterprise to run and manage ScyllaDB via Kubernetes. It automates the cluster deployment process and tasks such as scaling, backup, auto healing, rolling configuration changes and upgrades and more.
Download ScyllaDB Operator: ScyllaDB Operator
Additional Resources: Learn how to manage ScyllaDB clusters using Kubernetes
ScyllaDB CDC provides an optional recording of modifications for one or more enabled tables in your ScyllaDB database for streaming data, data duplication and replication and other use cases that require quick query of changes without directly going through the underlying data. CDC log data tables are transient (default TTL is 24 hours), stored in the same shards as the tables they are logging, and can be manipulated through Rust, Go, and Java shard-aware drivers from your applications.
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.