The complete platform to orchestrate clusters.

Your team's toolkit to stop configuring and start innovating. Securely deploy, manage, and scale Spark, YugabyteDB, and Ray clusters with a single API.

terminal

$ datadives spark up --cluster prod-analytics

Connecting to master node...

Installing Spark dependencies...

Starting 3 worker nodes...

Enabling Zeppelin notebook...

Cluster deployment complete!

$ _

10x

faster cluster deployment

99.9%

uptime guarantee

3

cluster types supported

Real-time

log streaming

Supported Cluster Types

Deploy and manage your data infrastructure with native support for the most popular distributed computing frameworks.

Apache Spark

Deploy Spark clusters with Zeppelin, Jupyter, and History Server support. Scale your big data analytics instantly.

  • Multi-worker deployment
  • Notebook integrations
  • SSH key management

YugabyteDB

Distributed SQL database with PostgreSQL compatibility. Configure replication factors and UFW settings.

  • High availability
  • Configurable replication
  • Firewall management

Ray

Unified framework for scaling AI and Python applications. Version control and Jupyter integration built-in.

  • Version management
  • Jupyter notebooks
  • Custom port config

Platform Capabilities

Faster iteration. More innovation.

The platform for rapid progress. Let your team focus on shipping features instead of managing infrastructure with automated deployments, real-time monitoring, and integrated collaboration.

Real-time Log Streaming

Watch your deployments in real-time with SSE-powered log streaming directly in your browser.

Status Monitoring

Check cluster health, worker states, and resource utilization with a single command.

Secure by Default

SSH key management, encrypted credentials, and organization-level access controls.

spark-prod-001
Running
yuga-analytics
Running
ray-ml-cluster
Deploying
spark-dev
Stopped

Ready to dive in?

Start deploying clusters in minutes. No credit card required.