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Tools/LangSmith vs Datadog
LangSmith

LangSmith

observability
vs
Datadog

Datadog

observability

LangSmith vs Datadog — Comparison

Overview
What each tool does and who it's for

LangSmith

View in LangSmith

Based on these limited mentions, LangSmith appears to be positioned as a monitoring and observability tool for AI agents and LLM applications. The main criticism mentioned is that it's "cloud-only and paid," which has led some developers to seek open-source alternatives like AgentLens for debugging multi-agent systems. There's clear demand for AI agent observability tools in the market, particularly given recent production incidents involving AI agents causing data loss. However, the limited social mentions suggest either low adoption or that discussions about LangSmith are happening in more specialized developer communities not captured in these sources.

Datadog

See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.

I cannot provide a meaningful summary of user sentiment about Datadog based on the provided content. The social mentions only show YouTube video titles about "Datadog AI" without actual user feedback, and two Reddit posts that don't contain substantive reviews or opinions about Datadog's features, pricing, or performance. To give you an accurate summary of what users think about Datadog, I would need actual user reviews, comments, or discussions that express opinions about the platform's strengths, weaknesses, pricing, or overall experience.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
2
—
GitHub Stars
—
—
GitHub Forks
—
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

LangSmith

0% positive100% neutral0% negative

Datadog

0% positive100% neutral0% negative
Pricing

LangSmith

Datadog

usage-based + subscription + contract + per-seat + tiered

Pricing found: $1, $2, $2.50, $1,000, $1,000

Features

Only in Datadog (10)

SaaS and Cloud providersAutomation toolsMonitoring and instrumentationSource control and bug trackingDatabases and common server componentsAll listed integrations are supported by DatadogTrace requests from end to end across distributed systemsTrack app performance with auto-generated service overviewsGraph and alert on error rates or latency percentiles (p95, p99, etc.)Instrument your code using open source tracing libraries
Developer Ecosystem
—
GitHub Repos
—
—
GitHub Followers
—
—
npm Packages
20
—
HuggingFace Models
7
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

LangSmith

cost tracking (2)token usage (1)

Datadog

No data yet

Product Screenshots

LangSmith

No screenshots

Datadog

Datadog screenshot 1Datadog screenshot 2Datadog screenshot 3Datadog screenshot 4
Company Intel
information technology & services
Industry
—
98
Employees
—
$260.0M
Funding
—
Series B
Stage
—
Supported Languages & Categories

LangSmith

Datadog

AI/MLFinTechDevOpsSecurityAnalytics
View LangSmith Profile View Datadog Profile