Fast Apply and agent-tuned inference for coding agents
Fast Apply and agent-tuned inference for coding agents
Bitbucket records 13,080,878 monthly visits with -1.2% month-over-month growth and Freemium pricing. Datadog records 5,175,760 monthly visits with -4.8% growth and Freemium, Free Trial, Paid, Contact for Pricing, Free pricing.
Unified observability, security and incident response for cloud-scale engineering teams
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | bitbucket.org | datadoghq.com |
| Pricing Model | Freemium | Freemium, Free Trial, Paid, Contact for Pricing, Free |
| Monthly Visits | 13.08M (13,080,878) | 5.18M (5,175,760) |
| MoM Traffic Delta | -153.21K (-1.2%) | -263.56K (-4.8%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇺🇸 United States (41.4%) |
| Direct Visits / mo | 10.28M | 2.75M |
| User Rating | 4.3 | 4.7 |
| Supported Platforms | Website | Website |

Git hosting and CI/CD for teams that live in Jira
Host unlimited private or public repositories with branch permissions, merge checks and inline code review.
Run CI/CD in the cloud or on private runners with pipeline configuration, deployment environments and centralized visibility.
Link commits, branches and pull requests to Jira issues to trace every change from requirement to production.
Atlassian's AI agents assist with code review, pipeline triage, onboarding to a codebase and converting Jira items into code.
Unified observability, security and incident response for cloud-scale engineering teams
Agents, cloud integrations and OpenTelemetry collectors feed one platform where metrics, distributed traces, profiles and logs can be pivoted between without context switching.
Bits AI, an agent builder and LLM/AI-agent observability help teams triage alerts, explain anomalies and monitor model latency, token spend and agent traces.
Cloud SIEM, cloud security posture management, vulnerability management, workload protection and code scanning correlate threat signals with the telemetry you already collect.
Real user monitoring, session replay, product analytics, synthetic and mobile testing sit alongside CI visibility, test optimization, feature flags and DORA metrics.
Fast Apply and agent-tuned inference for coding agents
Fast Apply and agent-tuned inference for coding agents

SpecialistAI DevOps engineer that deploys and scales your apps
SpecialistAI DevOps engineer that deploys and scales your apps

SpecialistSpecializes in tracing and debugging production LLM applications, but does not provide general cloud infrastructure metrics or log management.
SpecialistSpecializes in tracing and debugging production LLM applications, but does not provide general cloud infrastructure metrics or log management.

SpecialistProvides advanced AI-driven threat detection for cloud networks, but focuses purely on security rather than general application performance monitoring.
SpecialistProvides advanced AI-driven threat detection for cloud networks, but focuses purely on security rather than general application performance monitoring.

Self-hosted cloud development environments and AI coding agents for enterprise teams

SpecialistEvaluate, monitor, and govern your AI applications in production
SpecialistEvaluate, monitor, and govern your AI applications in production

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

SpecialistStandardize LLM evaluation, observability, and red teaming across your whole org
SpecialistStandardize LLM evaluation, observability, and red teaming across your whole org

Agent-native cloud infrastructure that lets coding agents run the whole backend stack

Cloud Linux VMs built for developers and their AI agents
Cloud Linux VMs built for developers and their AI agents
SpecialistAI governance, testing, and observability for regulated enterprises
SpecialistAI governance, testing, and observability for regulated enterprises

SpecialistFocuses on machine learning and LLM model observability, whereas Datadog primarily targets traditional infrastructure and application performance monitoring.
SpecialistFocuses on machine learning and LLM model observability, whereas Datadog primarily targets traditional infrastructure and application performance monitoring.