Machine Learning & Data Science · head to head
Alteryx vs Datadog
The short version
- Only Alteryx has a free tier, so it costs nothing to try first.
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; Datadog consumption-based pricing model makes costs hard to predict and can scale quickly
- They diverge on capability: Alteryx covers Data preparation, Datadog covers Infrastructure monitoring.
Where they differ
Only the attributes on which Alteryx and Datadog actually diverge.
Identical on both: 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 Datadog
- Infrastructure monitoring
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
Both cover
- AWS
What people use each for
The jobs each tool is most often brought in to do.
Alteryx
- Data preparation and building AI-ready datasetsnot Datadog
- Predictive analytics without writing codenot Datadog
- Automating and orchestrating repeatable analytics workflowsnot Datadog
- Enterprise reporting with governed, reusable logicnot Datadog
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Datadog
Datadog
- Infrastructure monitoringnot Alteryx
- Application performancenot Alteryx
- Security monitoringnot Alteryx
- Log analysisnot Alteryx
- Cloud monitoringnot 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
Datadog
- Consumption-based pricing model makes costs hard to predict and can scale quickly
- Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
- No free tier for production monitoring
- High costs for organizations with large amounts of log data or high-cardinality metrics
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Datadog
$15/month- Infrastructure Monitoring$15/month
- Host monitoring
- Basic dashboards
- APM$31/month
- Application performance monitoring
- Trace collection
- Log Management$0.1/gb
- Log indexing
- Search and filter
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 Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Questions people ask
- Is Alteryx or Datadog better?
- Neither clearly leads. Alteryx starts at Free and Datadog at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or Datadog?
- Alteryx has a free tier; the other does not. Paid plans start at Free for Alteryx and $15/month for Datadog.
- Does Alteryx or Datadog run on more platforms?
- Alteryx runs on Windows, Web. Datadog runs on Web, Linux, Windows, macOS.
- Can I use Alteryx for free?
- Yes. Alteryx has a free tier, so you can try it without paying. Datadog starts at $15/month.
- 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 Datadog is typically brought in for.
- What can Alteryx do that Datadog cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Both handle AWS.
Answered from the vendors’ own pages
Datadog: How is Datadog pricing structured?
Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.
SourceDatadog: Does Datadog offer a free tier?
Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.
SourceDatadog: What integrations does Datadog support?
Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.
SourceDatadog: Can Datadog monitor Kubernetes clusters?
Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.
SourceDatadog: How can I reduce Datadog costs?
Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.
SourceRelated pages
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- 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
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- Alteryx vs Figma
- Alteryx vs Linear
- Alteryx vs Monday.com
- Alteryx vs Greenhouse
- Alteryx vs Notion
- Alteryx vs Amplitude
- Alteryx vs PostHog
- Alteryx vs PyCharm
- Alteryx vs Sketch
- Alteryx vs Docker
- Alteryx vs Netlify
- Alteryx vs Okta
- Alteryx vs Aha!
- Alteryx vs Coda
- Alteryx vs Dashlane
- Alteryx vs GitHub
- Datadog vs AWS SageMaker
- Datadog vs Google Vertex AI
- Datadog vs Azure Machine Learning
- Datadog vs DataRobot
- Datadog vs Snowflake
- Datadog vs TensorFlow
- Datadog vs Comet ML
- Datadog vs Keras
- Datadog vs MLflow
- Datadog vs Jupyter
- Datadog vs PyTorch
- Datadog vs scikit-learn
- Datadog vs Apache Spark MLlib
- Datadog vs Weights & Biases
- Datadog vs Anaconda
- Datadog vs Databricks
- Datadog vs Dataiku
- Datadog vs DVC
- Datadog vs Asana
- Datadog vs ClickUp
- Datadog vs Figma
- Datadog vs Linear
- Datadog vs Monday.com
- Datadog vs Greenhouse
- Datadog vs Notion
- Datadog vs Amplitude
- Datadog vs PostHog
- Datadog vs PyCharm
- Datadog vs Sketch
- Datadog vs Docker
- Datadog vs Netlify
- Datadog vs Okta
- Datadog vs Aha!
- Datadog vs Coda
- Datadog vs Dashlane
- Datadog vs GitHub


