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Logging · head to head

Datadog Logs vs Langwatch

Datadog Logs logo

Datadog Logs

Logging

Log Management and Analytics

From
$0.1/per GB ingested per month
Rated
-
Langwatch logo

Langwatch

Machine Learning

LLM engineering platform for testing and evaluating AI agents in production

From
Free
Rated
-

The short version

  • Only Langwatch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; Langwatch free plan limited to 50k events per month, restricting larger deployments
  • They diverge on capability: Datadog Logs covers Log ingestion, Langwatch covers Agent simulation testing.

Where they differ

Only the attributes on which Datadog Logs and Langwatch actually diverge.

Attributes where Datadog Logs and Langwatch differ
AttributeDatadog LogsLangwatch
Starting price$0.1/per GB ingested per monthFree
Pricing modelusage-basedTiered subscription with usage-based overage charges
Free tierNoYes
PlatformsCloud (AWS, Azure, Google Cloud, Oracle Cloud)Web, Docker, Kubernetes
CategoryLoggingMachine Learning
Founded2010Unknown

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 Datadog Logs

  • Log ingestion
  • Full-text search
  • Custom dashboards
  • Log-based metrics
  • API
  • Webhooks
  • REST
  • Web support

Only in Langwatch

  • Agent simulation testing
  • LLM evaluation
  • OpenTelemetry tracing
  • Langy AI Engineer
  • Governance controls
  • Multiple deployment options
  • Framework support

What people use each for

The jobs each tool is most often brought in to do.

Datadog Logs

  • Centralised log aggregation and analysisnot Langwatch
  • Multi-source log correlation with metrics and tracesnot Langwatch
  • Root cause analysis and troubleshootingnot Langwatch
  • Security monitoring and threat detectionnot Langwatch

Langwatch

  • Continuous testing of AI agents before production deploymentnot Datadog Logs
  • Automated test creation from product requirementsnot Datadog Logs
  • LLM response quality evaluation and scoringnot Datadog Logs
  • Production agent monitoring and cost trackingnot Datadog Logs
  • Governance and access control for AI systemsnot Datadog Logs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Datadog Logs

  • Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments

Langwatch

  • Free plan limited to 50k events per month, restricting larger deployments
  • Pricing in EUR may complicate budgeting for US-based teams
  • Usage-based overage model can create unpredictable costs
  • Self-hosted option requires DevOps expertise

Pricing, plan by plan

Datadog Logs

$0.1/per GB ingested per month

No published plan breakdown. See the Datadog Logs review.

Langwatch

Free
  • DeveloperFree
    • 50k events per month
    • 14-day data access
    • 2 users
  • Growth$29/month
    • 200k events per month included
    • 5 EUR per 100k additional events
    • 30-day data retention
  • Enterprise$undefined/custom
    • Custom event limits
    • Hybrid, self-hosted or on-premises deployment
    • Custom SSO and RBAC

Which should you pick?

Choose Datadog Logs if

  • You need log ingestion.
  • You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
  • You also want full-text search.

Choose Langwatch if

  • You need agent simulation testing.
  • You want to start without paying.
  • You work on Web, Docker, Kubernetes.
  • You also want llm evaluation.

Questions people ask

Is Datadog Logs or Langwatch better?
Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and Langwatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Datadog Logs or Langwatch?
Langwatch has a free tier; the other does not. Paid plans start at $0.1/per GB ingested per month for Datadog Logs and Free for Langwatch.
Does Datadog Logs or Langwatch run on more platforms?
Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). Langwatch runs on Web, Docker, Kubernetes.
Can I use Langwatch for free?
Yes. Langwatch has a free tier, so you can try it without paying. Datadog Logs starts at $0.1/per GB ingested per month.
What is Datadog Logs best used for?
Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what Langwatch is typically brought in for.
What can Datadog Logs do that Langwatch cannot?
Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer.

Answered from the vendors’ own pages

Datadog Logs: What pricing options does Datadog offer for log ingestion and processing?

Log ingestion starts at $0.10/GB (annual billing; $0.10 on-demand). Standard indexing costs $1.70 per million events per month (annual; $2.55 on-demand). Flex Storage costs $0.05/million events stored per month (annual; $0.075 on-demand). Flex Logs Starter costs $0.60/million events stored per month (annual; $0.90 on-demand).

Source
Langwatch: Is there a permanent free tier?

Yes, Langwatch's Developer plan is free forever with 50k events per month, 14-day data access, 2 users, and no credit card required. It is specifically designed for individual developers prototyping AI applications.

Source
Datadog Logs: What retention options are available and how does it affect pricing?

Standard indexing offers 15-day retention with options for 3 to 30+ days. Flex Storage supports flexible retention up to 15 months. Flex Logs Starter includes bundled compute for retention of 3-15 months.

Source
Langwatch: What is Langy and how does it save time?

Langy is an AI-powered tool that automates test creation. It converts product requirements into test scenarios, runs simulations, scores results, and generates pull requests with fixes in a median of 14 minutes.

Source
Datadog Logs: Is there a cost to forward logs to external systems?

Yes, log forwarding costs $0.25/GB outbound per destination for routing logs to external systems.

Source
Langwatch: What frameworks does Langwatch support?

Langwatch works with LangGraph, LangChain, CrewAI, OpenAI Agents, AWS Bedrock, Azure OpenAI, Vertex AI, and other major LLM frameworks and platforms.

Source
Datadog Logs: What discounts are available for high-volume customers?

Multi-year and volume discounts are available for customers processing 3B+ events per month.

Source
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