Pay as you go



  • Autoscaling & Autotuning
  • Jupyter & Airflow Integrations
  • Logs & Metrics Monitoring
  • Custom Docker Images
    Spot Nodes Support
    Google Single Sign-On
    Live Support on Slack
    14-Day Free Trial



Get in touch for a custom quote

  • All Pay-As-You-Go Features Plus
  • Restricted Cluster Connectivity
  • Custom Scheduler Integration
    Weekly Usage Reports
    Yearly Commit Discounts
    Dedicated Account Manager
    Custom Identity Provider
    Production Support SLAs

They trust us


A fair pricing mechanism

Competing data platforms base their fee on server uptime, and charge you whether these servers are actually used by Spark or whether they’re sitting idle. Up to 80% of a typical bill originates from wasted compute infrastructure.

The Data Mechanics service fee is only based on Spark container uptime. We only charge you a fee when Spark is doing real work. This means we’re incentivized to make your infrastructure as efficient to reduce your cloud bill. 

Let us show you how we can achieve 50 to 80% savings on your cloud costs.

A graphic showing 20% Used Compute Time, 80% Wasted Compute Time.

Ready to get started?

Pricing Mechanics

Frequently Asked Questions

We’ve designed our Pricing mechanism with your interest in mind, so let us be transparent about it.

How can I get started with a trial?

Get in touch with us by booking a demo so that we lean more about your use case and answer your questions about the platform. We'll then invite you to a shared Slack channel that we will use for most of our interactions and for live support. We will send you instructions on Slack on how to get started -- the first step is to grant Data Mechanics scoped permissions on the AWS, GCP, or Azure account of your choice.

How can I track my Data Mechanics costs?

As soon as an application finishes, our dashboard provides you this information. For recurring applications (we call them "jobs"), you can also track the evolution of your Data Mechanics costs, along with other key metrics, over time. Finally, we produce a billing report with detailed information and a useful cost attribution breakdown at the end of each month.

Can I use my free cloud credits?

Yes. At the end of the month, you will get one bill from the cloud provider and one bill from Data Mechanics. Your cloud credits will apply to the cloud provider bill, which typically makes up the larger portion of your costs.

Are you more expensive or cheaper than other platforms?

We've achieved 50% to 75% cost reductions for customers who migrated their workloads from a competing platform. This is because we have features that will reduce your cloud costs (automated tuning of pipelines, a single shared cluster with fast autoscaling, spot nodes support), and because the management fee we charge is smaller than other Spark platforms too.

I'm using another Spark platform. How much savings can I enable by migrating my workloads to Data Mechanics ?

We've achieved 50 to 75% cost reductions for customers migrating their workloads from a competitor. If you'd like us to estimate the potential savings with more details, install our free and cross-platform monitoring tool Data Mechanics Delight on top of your current Spark platform, then get in touch with us by booking a demo. We will analyze the logs collected by Delight to estimate the savings we can generate for your Spark workloads.

Can I set a quota to limit my Data Mechanics expenses?

You have control over the autoscaling behavior of the Kubernetes cluster and of each Spark application running on it. So you can, for example, set a maximum size for the cluster and for each unique Spark application.

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