Logging · head to head
Azure Monitor vs Dataiku
The short version
- Each has a real cost: Azure Monitor billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Azure Monitor covers Log collection, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Azure Monitor and Dataiku actually diverge.
| Attribute | Azure Monitor | Dataiku |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web, Api | Linux, Mac, Windows, Web |
| Category | Logging | Machine Learning |
| Founded | 2010 | 2013 |
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 Azure Monitor
- Log collection
- Metrics collection
- Alerts and notifications
- Custom dashboards
- API
- Webhooks
- REST
- Api support
Only in Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Azure Monitor
- Collecting logs and metrics from Azure resourcesnot Dataiku
- Alerting on metric thresholds and log queriesnot Dataiku
- Application performance monitoring through Application Insightsnot Dataiku
- Long-term log retention for compliancenot Dataiku
- Querying operational data with KQLnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot Azure Monitor
- Giving analysts and data scientists a shared visual and code environmentnot Azure Monitor
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure Monitor
- Billed per GB ingested across three separate log plans, Auxiliary, Basic and Analytics, so the plan chosen changes the rate as much as the volume does
- Only the first 5 GB a month of Analytics logs is free per billing account
- Retention beyond the base period is charged per GB per month, up to 2 years interactive and 12 years long term
- Log queries and search jobs are billed per GB scanned, so investigating an incident costs money
- Alert rules are billed per time series for metrics and by execution frequency for logs
- The pricing page shows placeholders rather than rates until a region and currency are chosen
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
Pricing, plan by plan
Azure Monitor
Free- FreeFree
- Log collection
- Metrics collection
- Alerts and notifications
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Azure Monitor if
- You need log collection.
- You want to start without paying.
- You work on Web, Api.
- You also want metrics collection.
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is Azure Monitor or Dataiku better?
- Neither clearly leads. Azure Monitor starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure Monitor or Dataiku?
- Azure Monitor starts at Free and Dataiku at Free.
- Does Azure Monitor or Dataiku run on more platforms?
- Azure Monitor runs on Web, Api. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Azure Monitor for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure Monitor best used for?
- Azure Monitor is most often used for collecting logs and metrics from azure resources, alerting on metric thresholds and log queries, application performance monitoring through application insights, long-term log retention for compliance. Of those, collecting logs and metrics from azure resources and alerting on metric thresholds and log queries are not what Dataiku is typically brought in for.
- What can Azure Monitor do that Dataiku cannot?
- Azure Monitor covers Log collection, Metrics collection, Alerts and notifications, Custom dashboards. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Web support.
Answered from the vendors’ own pages
Azure Monitor: How does Azure Monitor billing work?
Billing is based on data volume ingested into Azure Monitor. Additional charges apply separately for alerts, notifications, web tests, and data export. Activity log and platform metrics are automatically collected with an Azure subscription.
SourceDataiku: What are Dataiku pricing tiers and costs?
Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.
SourceAzure Monitor: What savings are available with Azure Monitor?
Capacity reservations offer up to 36% savings compared to standard pay-as-you-go pricing when you commit to reserved capacity upfront.
SourceDataiku: Does Dataiku offer a free tier or trial?
Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.
SourceAzure Monitor: Is there a free tier for Azure Monitor?
No dedicated free tier exists. Activity log and platform metrics are automatically collected with an Azure subscription, but detailed monitoring requires additional configuration and associated costs.
SourceRelated pages
More on Azure Monitor
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- Azure Monitor vs DataRobot
- Azure Monitor vs MLflow
- Azure Monitor vs Snowflake
- Azure Monitor vs TensorFlow
- Azure Monitor vs Comet ML
- Azure Monitor vs Jupyter
- Azure Monitor vs LangChain
- Azure Monitor vs Pinecone
- Azure Monitor vs Python
- Azure Monitor vs PyTorch
- Azure Monitor vs scikit-learn
- Azure Monitor vs Apache Spark MLlib
- Azure Monitor vs Weaviate
- Azure Monitor vs Weights & Biases
- Azure Monitor vs Alteryx
- Dataiku vs Elastic Stack
- Dataiku vs New Relic
- Dataiku vs Datadog Logs
- Dataiku vs Coralogix
- Dataiku vs Grafana Loki
- Dataiku vs incident.io
- Dataiku vs Cronitor
- Dataiku vs FireHydrant
- Dataiku vs Healthchecks
- Dataiku vs Openstatus
- Dataiku vs Rootly
- Dataiku vs Checkly
- Dataiku vs CloudWatch
- Dataiku vs Dynatrace
- Dataiku vs InfluxDB
- Dataiku vs Airbrake
- Dataiku vs AppDynamics
- Dataiku vs Axiom
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs MLflow
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Jupyter
- Dataiku vs LangChain
- Dataiku vs Pinecone
- Dataiku vs Python
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weaviate
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx


