Logging · head to head
CloudWatch vs Dataiku
The short version
- Each has a real cost: CloudWatch the free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: CloudWatch covers Metrics collection, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which CloudWatch and Dataiku actually diverge.
| Attribute | CloudWatch | Dataiku |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web, Api | Linux, Mac, Windows, Web |
| Category | Logging | Machine Learning |
| Founded | 2006 | 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 CloudWatch
- Metrics collection
- Log aggregation
- Dashboards
- Alarms and 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.
CloudWatch
- Metrics and log collection for AWS workloadsnot Dataiku
- Alarming on thresholds across AWS servicesnot Dataiku
- Querying logs with Logs Insightsnot Dataiku
- Live tailing logs during an incidentnot Dataiku
- Distributed tracing alongside X-Raynot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot CloudWatch
- Giving analysts and data scientists a shared visual and code environmentnot CloudWatch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CloudWatch
- The free tier covers 5 GB of log ingestion and 10 custom metrics a month, after which log ingestion is $0.50 per GB from 5 to 30 GB
- Custom metrics are $0.30 each for the first 10,000, so instrumenting broadly gets expensive before volume discounts apply
- Each custom dashboard beyond the free three is $3 a month
- Alarms are billed at $0.10 per alarm metric a month, with high-resolution alarms costing more
- Log storage beyond the free 5 GB is $0.03 per GB per month on top of the ingestion charge
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
CloudWatch
Free- Pay-as-you-goFree
- Logs ingestion: $0.50/GB (first 5GB free), down to $0.05/GB at scale
- Logs storage: $0.03/GB/month
- Live Tail: $0.01/minute after 1,800 free minutes
- Free tierFree
- 5GB logs ingestion per month
- 10 custom metrics
- 3 custom dashboards
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose CloudWatch if
- You need metrics collection.
- You want to start without paying.
- You work on Web, Api.
- You also want log aggregation.
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 CloudWatch or Dataiku better?
- Neither clearly leads. CloudWatch 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, CloudWatch or Dataiku?
- CloudWatch starts at Free and Dataiku at Free.
- Does CloudWatch or Dataiku run on more platforms?
- CloudWatch runs on Web, Api. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use CloudWatch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is CloudWatch best used for?
- CloudWatch is most often used for metrics and log collection for aws workloads, alarming on thresholds across aws services, querying logs with logs insights, live tailing logs during an incident. Of those, metrics and log collection for aws workloads and alarming on thresholds across aws services are not what Dataiku is typically brought in for.
- What can CloudWatch do that Dataiku cannot?
- CloudWatch covers Metrics collection, Log aggregation, Dashboards, Alarms and notifications. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Web support.
Answered from the vendors’ own pages
CloudWatch: How much does Amazon CloudWatch cost?
CloudWatch uses pay-as-you-go pricing with no upfront commitment. Logs ingestion costs $0.50/GB (first 5GB free), logs storage is $0.03/GB/month, custom metrics cost $0.30/metric/month (first 10,000), custom dashboards are $3/month, and standard alarms are $0.10/metric/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.
SourceCloudWatch: Does CloudWatch offer a free tier?
Yes, CloudWatch free tier includes 5GB logs ingestion, 10 custom metrics, 3 custom dashboards, and 10 alarm metrics per month at no charge. Usage beyond these limits incurs pay-as-you-go fees.
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.
SourceCloudWatch: What are CloudWatch's pricing tiers for high-volume usage?
CloudWatch offers tiered pricing with volume discounts: logs ingestion starts at $0.50/GB and decreases to $0.05/GB at higher volumes; custom metrics start at $0.30/metric/month and decline to $0.05 at higher volumes; Application Signals cost $1.50 per million traces initially, declining to $0.30.
SourceRelated pages
Other head to heads
- CloudWatch vs Elastic Stack
- CloudWatch vs New Relic
- CloudWatch vs Datadog Logs
- CloudWatch vs Coralogix
- CloudWatch vs Grafana Loki
- CloudWatch vs incident.io
- CloudWatch vs Cronitor
- CloudWatch vs FireHydrant
- CloudWatch vs Healthchecks
- CloudWatch vs Openstatus
- CloudWatch vs Rootly
- CloudWatch vs Checkly
- CloudWatch vs Dynatrace
- CloudWatch vs InfluxDB
- CloudWatch vs Airbrake
- CloudWatch vs AppDynamics
- CloudWatch vs Axiom
- CloudWatch vs Azure Monitor
- CloudWatch vs AWS SageMaker
- CloudWatch vs Google Vertex AI
- CloudWatch vs Azure Machine Learning
- CloudWatch vs DataRobot
- CloudWatch vs MLflow
- CloudWatch vs Snowflake
- CloudWatch vs TensorFlow
- CloudWatch vs Comet ML
- CloudWatch vs Jupyter
- CloudWatch vs LangChain
- CloudWatch vs Pinecone
- CloudWatch vs Python
- CloudWatch vs PyTorch
- CloudWatch vs scikit-learn
- CloudWatch vs Apache Spark MLlib
- CloudWatch vs Weaviate
- CloudWatch vs Weights & Biases
- CloudWatch 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 Dynatrace
- Dataiku vs InfluxDB
- Dataiku vs Airbrake
- 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


