Developing Monster Scale
At ScyllaDB, we give developers the database technology required to achieve predictable performance at scale, so you can build robust, high-speed applications.
Installation
Running ScyllaDB in Docker is the simplest way to experiment with ScyllaDB when you’re getting started.
docker run --name scylladb -d scylladb/scylla
For a production ready installation try our simple Linux Installer.
curl -sSf get.scylladb.com/server | sudo bash
For more detailed information, see our installation instructions.
Connect via drivers
cargo add scylla
pip install scylla-driver
<dependency>
<groupId>com.scylladb</groupId>
<artifactId>java-driver-core</artifactId>
<version>${driver.version}</version>
</dependency>
<dependency>
<groupId>com.scylladb</groupId>
<artifactId>java-driver-query-builder</artifactId>
<version>${driver.version}</version>
</dependency>
<dependency>
<groupId>com.scylladb</groupId>
<artifactId>java-driver-mapper-runtime</artifactId>
<version>${driver.version}</version>
</dependency>
Add the following line to your project go.mod file:
github.com/scylladb/gocql latest
yarn install cassandra-driver
For more detailed information, see our full list of drivers.
