PayloopPayloop
CommunityVoicesToolsDiscoverLeaderboardReportsBlog
Save Up to 65% on AI
Powered by Payloop — LLM Cost Intelligence
Tools/Harness AI vs Datadog AI
Harness AI

Harness AI

ai-devops
vs
Datadog AI

Datadog AI

ai-devops

Harness AI vs Datadog AI — Comparison

Overview
What each tool does and who it's for

Harness AI

Harness is a unified, end-to-end AI software delivery platform to manage the SDLC using purpose-built AI agents.

Based on the available social mentions, users appear to view Harness AI positively as a development tool, with several mentions of successful projects built using it, including open-source tools that gained significant community traction (391+ GitHub stars). The platform seems particularly valued for AI-assisted development and building agent architectures, with users appreciating its capability to handle complex engineering problems. However, there's limited discussion about pricing or major complaints in these mentions. The overall sentiment suggests Harness AI is seen as a capable tool for developers working on AI agents and automation projects, though the sample size is relatively small for a comprehensive assessment.

Datadog AI

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.

Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. David Obstler brings more than three

Key Metrics
—
Avg Rating
—
16
Mentions (30d)
0
—
GitHub Stars
—
—
GitHub Forks
—
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Harness AI

0% positive100% neutral0% negative

Datadog AI

0% positive100% neutral0% negative
Pricing

Harness AI

subscription + freemium + per-seat + tieredFree tier

Datadog AI

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

Pricing found: $700, $700, $1, $2, $2.50

Features

Only in Harness AI (10)

Continuous Delivery GitOpsContinuous IntegrationInternal Developer PortalInfrastructure as Code ManagementDatabase DevOpsArtifact RegistryAI Test AutomationResilience TestingFeature Management ExperimentationAI SRE

Only in Datadog AI (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
Pain Points
Top complaints from reviews and social mentions

Harness AI

expensive API (1)

Datadog AI

No data yet

Product Screenshots

Harness AI

Harness AI screenshot 1

Datadog AI

Datadog AI screenshot 1Datadog AI screenshot 2Datadog AI screenshot 3Datadog AI screenshot 4
Company Intel
information technology & services
Industry
information technology & services
1,700
Employees
6,500
$802.1M
Funding
—
Series E
Stage
—
Supported Languages & Categories

Harness AI

AI/MLDevOpsSecurityAnalyticsDeveloper Tools

Datadog AI

AI/MLFinTechDevOpsSecurityAnalytics
View Harness AI Profile View Datadog AI Profile