Pricing

Simple, Usage-Based Pricing

Only pay for what you accelerate with no upfront fees, no vendor lock-in.

Fits in Your Budget

Usage-based · Per CPU Hour
Cloud Self-Hosted
$0.004
per CPU/hour
Run Flarion on self-hosted Apache Spark across AWS, Azure, or GCP.
Flexible deployment in your cloud environment
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All Clouds
$0.007
per CPU/hour
Flarion on fully managed Spark services like EMR, GCP Managed Spark, and Azure HDInsight.
Drop-in Spark extension installation.
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Databricks
$0.008
per CPU/hour
Acceleration built for Databricks environments.
Native Databricks integration. Supports jobs, notebooks, and pipelines.
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On-Premise
$0.50
per CPU/month
Accelerate Spark on-prem, including Kubernetes, VMs or bare-metal clusters.
Includes capacity planning consulting.
Your cores run whether a job does or not, so on-prem is priced per core, per month .
Subscription · Per CPU Month.
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All prices are based on accelerated Spark cores (driver + executor CPUs).
Billing applies only to compute resources actively optimized by Flarion.
Before You Commit

Your Jobs Set the Baseline

The assessment sets each job’s baseline from anonymized logs and simulates it on Flarion, with synthetic data matching your data profile. After you deploy, every run keeps reporting against that baseline.
The Free Assessment

Run the free assessment on your own workloads. We simulate each job from its logs and report the runtime and compute it uses today, and would use on Flarion.

Flarion’s Telemetry

Every run reports its runtime and compute. 
Each job keeps getting measured against the baseline the assessment set, for as long as 
you run it.

What Comes Back
Table titled 'Your Flarion Report' showing workload names your_pipeline_a and your_pipeline_b with estimated speedups of 40-50% and 35% highlighted in yellow, respectively. Operators covered include Scan, Filter, Explode, Shuffle, Broadcast Join, Aggregate, and Write Files for pipeline_a, and Scan, Filter, Broadcast Join, Aggregate, and Write Files for pipeline_b. A note mentions that sort and custom UDFs are not covered and run on Spark as usual.
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Run a free assessment

We Prove the Savings Before You Do the Work

3× Faster Processing    •   60% Cost Reduction    •    6 Minute Install

Run Assessment