Sold by: definity
Deployed on AWS
Full-stack data observability & optimization for the Spark and Lakehouse ecosystem - so you can observe, fix, and optimize your pipelines, in-motion.
Overview
Video
Optimize Spark Performance & Cost
Video
Root-cause data incident in 3-clicks
definity monitors the full-stack of your Lakehouse and Spark platform - pipelines, data, and infra - completely out-of-the-box, with zero code changes. It is uniquely designed to run in-motion, inline with your pipelines and platform, cloud or on-prem. With definity, enterprise teams optimize platform cost and pipeline performance, prevent incidents in real-time, resolve issues faster, and accelerate migrations.
Highlights
- Cut Spark platform costs by up to 50% with job-level recommendations and 1-click auto-tune.
- Proactively prevent data incidents in-motion and troubleshoot issues in 3-clicks, with full execution context, lineage, and insights.
- Accelerate platform migrations and de-risk code changes, with seamless workload validation in CI.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
vCore-hour | Monitored vCore-hour | $0.003 |
Dimensions summary
This contract uses one usage-based dimension: the monitored vCore-hour. A vCore-hour measures one virtual CPU core monitored for one hour. Your cost scales with how many core-hours you monitor across your Spark and Lakehouse pipelines. You pay based on actual monitored usage rather than a flat seat or user count. As you monitor more workloads or run them longer, your billed vCore-hours rise proportionally. This gives you a single, usage-linked metric to track spend against your monitored compute footprint.
Top-of-mind questions for buyers
A vCore-hour is one virtual CPU core monitored for one hour. The tool tracks the cores used by your Spark and Lakehouse pipelines. If you monitor a job using four cores for two hours, that counts as eight vCore-hours. Counting is tied to actual monitored compute.
Billing stays based on monitored vCore-hours regardless of where jobs run. The tool monitors Spark workloads on-prem, in cloud, or on Kubernetes with no code changes. Your bill reflects total monitored core-hours across all these environments, not the deployment location itself.
Charges accrue only while cores are actively monitored during job execution. vCore-hours are metered against running, monitored compute. When pipelines are not running, no monitored core-hours accrue for that idle period. Your billed usage rises only as you monitor more workloads or run them longer.
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All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
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