Software · head to head
Datadog vs Snowflake
The short version
- Only Snowflake has a free tier, so it costs nothing to try first.
- Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Snowflake no flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
- They diverge on capability: Datadog covers Infrastructure monitoring, Snowflake covers Separated Compute/Storage.
Where they differ
Only the attributes on which Datadog and Snowflake actually diverge.
Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).
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 Datadog
- Infrastructure monitoring
- Application performance monitoring
- Log management
- Real user monitoring
- Synthetic monitoring
- Security monitoring
- Network monitoring
- Serverless monitoring
Only in Snowflake
- Separated Compute/Storage
- Near-zero Maintenance
- Data Sharing
- Time Travel
- Cloning
- Multi-cluster Warehouse
- Semi-structured Data
- dbt
What people use each for
The jobs each tool is most often brought in to do.
Datadog
- Infrastructure monitoringnot Snowflake
- Application performancenot Snowflake
- Security monitoringnot Snowflake
- Log analysisnot Snowflake
- Cloud monitoringnot Snowflake
Snowflake
- Cloud data warehousing and SQL analyticsnot Datadog
- Data engineering and ELT pipelinesnot Datadog
- Data sharing and marketplacenot Datadog
- AI/ML workloads via Snowpark and Cortexnot Datadog
- BI backend for tools such as Tableau and Power BInot Datadog
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Snowflake
- No flat subscription price is published - cost varies by edition, cloud provider, and region and requires a separate calculator or credit-consumption table
- Free trial is capped at $400 in credits or 30 days, whichever comes first, not a perpetual free tier
- During the trial, certain features (external network access, hybrid tables, Openflow) are capped at 10 credits/day until a payment method is added
- Total cost combines compute credits, storage, and data transfer billed separately
Pricing, plan by plan
Datadog
$15/month- Infrastructure Monitoring$15/month
- Host monitoring
- Basic dashboards
- APM$31/month
- Application performance monitoring
- Trace collection
- Log Management$0.1/gb
- Log indexing
- Search and filter
Snowflake
Free- Standard$undefined/mo
- Consumption-based, per-credit pricing
- Enterprise$undefined/mo
- Consumption-based, per-credit pricing
- Business Critical$undefined/mo
- Consumption-based, per-credit pricing
- Virtual Private Snowflake$undefined/mo
- Consumption-based, per-credit pricing
Which should you pick?
Choose Datadog if
- You need infrastructure monitoring.
- You work on Web, Linux, Windows, macOS.
- You also want application performance monitoring.
Choose Snowflake if
- You need separated compute/storage.
- You want to start without paying.
- You work on Web, API.
- You also want near-zero maintenance.
Questions people ask
- Is Datadog or Snowflake better?
- Neither clearly leads. Datadog starts at $15/month and Snowflake at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Datadog or Snowflake?
- Snowflake has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Snowflake.
- Does Datadog or Snowflake run on more platforms?
- Datadog runs on Web, Linux, Windows, macOS. Snowflake runs on Web, API.
- Can I use Snowflake for free?
- Yes. Snowflake has a free tier, so you can try it without paying. Datadog starts at $15/month.
- What is Datadog best used for?
- Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Snowflake is typically brought in for.
- What can Datadog do that Snowflake cannot?
- Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Snowflake covers Separated Compute/Storage, Near-zero Maintenance, Data Sharing, Time Travel.
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
Keep looking
Other head to heads
- 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
- Datadog vs AWS SageMaker
- Datadog vs Google Vertex AI
- Datadog vs Azure Machine Learning
- Datadog vs DataRobot
- 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 Alteryx
- Datadog vs Anaconda
- Datadog vs Databricks
- Datadog vs Dataiku
- Datadog vs DVC
- Snowflake vs Asana
- Snowflake vs ClickUp
- Snowflake vs Figma
- Snowflake vs Linear
- Snowflake vs Monday.com
- Snowflake vs Greenhouse
- Snowflake vs Notion
- Snowflake vs Amplitude
- Snowflake vs PostHog
- Snowflake vs PyCharm
- Snowflake vs Sketch
- Snowflake vs Docker
- Snowflake vs Netlify
- Snowflake vs Okta
- Snowflake vs Aha!
- Snowflake vs Coda
- Snowflake vs Dashlane
- Snowflake vs GitHub
- Snowflake vs AWS SageMaker
- Snowflake vs Google Vertex AI
- Snowflake vs Azure Machine Learning
- Snowflake vs DataRobot
- Snowflake vs TensorFlow
- Snowflake vs Comet ML
- Snowflake vs Keras
- Snowflake vs MLflow
- Snowflake vs Jupyter
- Snowflake vs PyTorch
- Snowflake vs scikit-learn
- Snowflake vs Apache Spark MLlib
- Snowflake vs Weights & Biases
- Snowflake vs Alteryx
- Snowflake vs Anaconda
- Snowflake vs Databricks
- Snowflake vs Dataiku
- Snowflake vs DVC


