Simple, Scalable Pricing for Hive on MR3

Whether you're just getting started or or running at scale,

choose a plan that fits your team's needs

— with full access to all features.

Free

$0

For teams getting started

  • Community support
  • Unlimited worker capacity
  • Full access to all features
Start Free

Business

$3,900 / 10TB of worker capacity / month

For teams to run Hive on MR3 in production

  • Onboarding support
  • On-demand video support
  • Priority email support
  • Worker capacity from 10TB
  • Full access to all features
Contact Us

Enterprise

Custom

For large organizations with custom needs

  • Custom features on request
  • Private builds on request
  • Dedicated support engineer
  • On-demand video support
  • Priority email support
  • Unlimited worker capacity
  • Full access to all features
Contact Us

Feature Comparison

Feature FreeBusinessEnterprise
Hive on MR3 on Hadoop
Hive on MR3 on Kubernetes
Hive on MR3 in Standalone Mode
Fault Tolerance
Speculative Execution
Capacity Scheduling
High Availability
Autoscaling
In-memory/NVMe Caching (LLAP I/O)
Built-in Shuffle Service
Backpressure Handling
Secure Shuffle
MR3-UI (Web UI)
Prometheus Clients

How Licensing Works

Hive on MR3 is not a hosted service. Instead, users install and run it on their own infrastructure — whether on-premises, in the cloud, or in hybrid environments.

How do I get started?

To get started, users download the MR3 release from the public repository and deploy it in the way that best fits their environment. The default release corresponds to the Free plan. For Kubernetes, users can use the public Docker image available on DockerHub.

How do I upgrade the plan?

Upgrading is simple. We ship a prebuilt binary corresponding to your plan. With minimal changes, you continue running Hive on MR3.

Hive on MR3 gives you complete control. You’re not relying on a vendor-controlled black box.

Cost & Scaling

Predictable pricing and control over resource usage.

Security & Location

Deploy on-premises, in the cloud, or in hybrid environments.

Workload Flexibility

Tune your deployment and environment for your own workloads.

Any Questions?

We're here to help. Get in touch with our team.