Logging · head to head
Airbrake vs Dataiku
The short version
- Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Airbrake covers Error tracking, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Airbrake and Dataiku 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 Airbrake
- Error tracking
- Performance monitoring
- Deploy tracking
- Custom notifications
- 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.
Airbrake
- Error and exception monitoring for web applicationsnot Dataiku
- Performance monitoring alongside error trackingnot Dataiku
- Alerting a team when a deploy introduces a spike in errorsnot Dataiku
- Tracking errors across multiple projects in one accountnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot Airbrake
- Giving analysts and data scientists a shared visual and code environmentnot Airbrake
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Airbrake
- Data retention is 30 days on every plan, including the $799 a month Business tier
- The entry plan at $19 a month covers 25,000 errors and 7,500 events
- Errors beyond the plan quota are billed on demand
- Audit logs and spike forgiveness require the Pro tier
- The lowest tier is limited to 1 user and 1 team
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
Airbrake
Free- Tier 1 (Dev + errors)$19/month
- 25,000 errors per month
- 1 user
- 1 team
- Tier 2 (Basic + errors)$38/month
- 100,000 errors per month
- Unlimited users
- 3 teams
- Pro$76/month
- Unlimited users
- Unlimited teams
- Unlimited projects
- Tier 5 (Growth)$299/month
- 1 million errors per month
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Airbrake if
- You need error tracking.
- You want to start without paying.
- You work on Web, Api.
- You also want performance monitoring.
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 Airbrake or Dataiku better?
- Neither clearly leads. Airbrake 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, Airbrake or Dataiku?
- Airbrake starts at Free and Dataiku at Free.
- Does Airbrake or Dataiku run on more platforms?
- Airbrake runs on Web, Api. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Airbrake for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Airbrake best used for?
- Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what Dataiku is typically brought in for.
- What can Airbrake do that Dataiku cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Web support.
Answered from the vendors’ own pages
Airbrake: What is the lowest-cost Airbrake plan and what does it include?
Tier 1 costs $19 per month and includes 25,000 errors per month, 1 user seat, 1 team, and unlimited projects. This plan targets individual developers. A 10% discount applies when paying annually ($17.10 per month).
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.
SourceAirbrake: Which Airbrake plan is marked as the best value?
The Pro plan at $76 per month is marked as Best Value. It includes unlimited users, unlimited teams, unlimited projects, audit logs, and spike forgiveness. Annual billing provides a 10% discount ($68 per month).
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.
SourceAirbrake: How many errors per month does each Airbrake tier allow?
Tier 1 allows 25,000 errors per month at $19/month. Tier 2 allows 100,000 errors at $38/month. Tier 4 allows 300,000 errors at $129/month. Tier 5 allows 1 million errors at $299/month. Tier 6 allows 5 million errors at $799/month.
SourceRelated pages
Other head to heads
- Airbrake vs Elastic Stack
- Airbrake vs New Relic
- Airbrake vs Datadog Logs
- Airbrake vs Coralogix
- Airbrake vs Grafana Loki
- Airbrake vs incident.io
- Airbrake vs Cronitor
- Airbrake vs FireHydrant
- Airbrake vs Healthchecks
- Airbrake vs Openstatus
- Airbrake vs Rootly
- Airbrake vs Checkly
- Airbrake vs CloudWatch
- Airbrake vs Dynatrace
- Airbrake vs InfluxDB
- Airbrake vs AppDynamics
- Airbrake vs Axiom
- Airbrake vs Azure Monitor
- Airbrake vs AWS SageMaker
- Airbrake vs Google Vertex AI
- Airbrake vs Azure Machine Learning
- Airbrake vs DataRobot
- Airbrake vs MLflow
- Airbrake vs Snowflake
- Airbrake vs TensorFlow
- Airbrake vs Comet ML
- Airbrake vs Jupyter
- Airbrake vs LangChain
- Airbrake vs Pinecone
- Airbrake vs Python
- Airbrake vs PyTorch
- Airbrake vs scikit-learn
- Airbrake vs Apache Spark MLlib
- Airbrake vs Weaviate
- Airbrake vs Weights & Biases
- Airbrake 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 AppDynamics
- Dataiku vs Axiom
- Dataiku vs Azure Monitor
- 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


