Machine Learning & Data Science · head to head
Alteryx vs Redash
The short version
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
- They diverge on capability: Alteryx covers Data preparation, Redash covers SQL Query Editor.
Where they differ
Only the attributes on which Alteryx and Redash actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
Only in Redash
- SQL Query Editor
- Multiple Data Sources
- Visualizations
- Dashboards
- Alerts
- PostgreSQL
- MySQL
- BigQuery
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Alteryx
- Data preparation and building AI-ready datasetsnot Redash
- Predictive analytics without writing codenot Redash
- Automating and orchestrating repeatable analytics workflowsnot Redash
- Enterprise reporting with governed, reusable logicnot Redash
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Redash
Redash
- Self-hosted SQL query editor and dashboarding over existing databasesnot Alteryx
- Sharing scheduled query results with a team without buying a BI licencenot Alteryx
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
Redash
- A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
- The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
- Anyone not using a provided cloud image has to configure the environment variables and secrets by hand
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Redash
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
- Cloud$49/month
- Managed Hosting
- Automatic Updates
- Support
Which should you pick?
Choose Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Choose Redash if
- You need sql query editor.
- You want to start without paying.
- You work on Web, Self-hosted, Cloud.
- You also want multiple data sources.
Questions people ask
- Is Alteryx or Redash better?
- Neither clearly leads. Alteryx starts at Free and Redash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or Redash?
- Alteryx starts at Free and Redash at Free.
- Does Alteryx or Redash run on more platforms?
- Alteryx runs on Windows, Web. Redash runs on Web, Self-hosted, Cloud.
- Can I use Alteryx for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Alteryx best used for?
- Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Redash is typically brought in for.
- What can Alteryx do that Redash cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Both handle Web support.
Related pages
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- Alteryx vs Google Vertex AI
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Snowflake
- Alteryx vs TensorFlow
- Alteryx vs Comet ML
- Alteryx vs Keras
- Alteryx vs MLflow
- Alteryx vs Jupyter
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- Alteryx vs scikit-learn
- Alteryx vs Apache Spark MLlib
- Alteryx vs Weights & Biases
- Alteryx vs Anaconda
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- Alteryx vs DVC
- Alteryx vs Tableau
- Alteryx vs Looker
- Alteryx vs Metabase
- Alteryx vs Fibery
- Alteryx vs Apache Superset
- Alteryx vs Baserow
- Alteryx vs Budibase
- Alteryx vs NocoDB
- Redash vs AWS SageMaker
- Redash vs Google Vertex AI
- Redash vs Azure Machine Learning
- Redash vs DataRobot
- Redash vs Snowflake
- Redash vs TensorFlow
- Redash vs Comet ML
- Redash vs Keras
- Redash vs MLflow
- Redash vs Jupyter
- Redash vs PyTorch
- Redash vs scikit-learn
- Redash vs Apache Spark MLlib
- Redash vs Weights & Biases
- Redash vs Anaconda
- Redash vs Databricks
- Redash vs Dataiku
- Redash vs DVC
- Redash vs Tableau
- Redash vs Looker
- Redash vs Metabase
- Redash vs Fibery
- Redash vs Apache Superset
- Redash vs Baserow
- Redash vs Budibase
- Redash vs NocoDB


