Anyscale
Fully managed Ray platform for building and running AI workloads with pay as you go compute, autoscaling clusters, GPU utilization tools and $100 get started credit.
Pricing Pay as you go
Category data
Difficulty Beginner
Type Web App
Status Active
Alteryx
Analytics automation platform that blends and preps data, builds code free and code friendly workflows, and deploys predictive models with governed sharing at scale.
Pricing Starts $250 per user per month
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Anyscale
raydistributedtraininginferencegpuautoscaling
Shared
None
Only in Alteryx
analyticsetlautomationdesignerpythonr
Key Features
Anyscale
- • Managed Ray clusters with autoscaling and placement policies
- • High GPU utilization via pooling and queue aware scheduling
- • Model serving endpoints with rolling updates and canaries
- • Ray compatible APIs so existing code ports quickly
- • Observability and cost tracking across jobs and users
- • Environment images with Python CUDA and dependency control
Alteryx
- • Code free prep join and transform with hundreds of tools
- • Python and R integration plus built in predictive models
- • Reusable macros and analytic apps for parameterized flows
- • Schedule share and govern results across teams
- • Connectors for files databases apps and cloud warehouses
- • Run on desktop or in cloud with elastic compute
Use Cases
Anyscale
- → Scale fine tuning and batch inference on pooled GPUs
- → Port Ray pipelines from on prem to cloud with minimal edits
- → Serve real time models with canary and rollback controls
- → Run retrieval augmented generation jobs cost efficiently
- → Consolidate ad hoc notebooks into governed projects
- → Share clusters across teams with quotas and budgets
Alteryx
- → Automate monthly reporting with governed workflows
- → Blend CRM and finance data to reconcile KPIs
- → Build churn or propensity models without heavy coding
- → Publish repeatable apps for business user inputs
- → Move spreadsheet processes into auditable pipelines
- → Upskill analysts using drag and drop plus Python R
Perfect For
Anyscale
ml engineers data scientists and platform teams that want Ray without managing clusters and need efficient GPU utilization with observability and controls
Alteryx
analytics leaders ops teams and data engineers who want governed repeatable workflows and predictive modeling without brittle scripts
Capabilities
Anyscale
Managed Clusters Professional
Model Endpoints Intermediate
Utilization and Cost Intermediate
Enterprise Controls Intermediate
Alteryx
Blend and Cleanse Intermediate
Predictive and Code Intermediate
Share and Schedule Professional
Admin and Lineage Professional
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