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Datadog vs Keep
Datadog is a full monitoring platform, while Keep focuses on alert aggregation and automation.
Which to pick
Pick Datadog if you want…
- Unified observability and security for cloud apps
- Monitoring and security platform
- Integrations with Amazon Web Services, Kubernetes or OpenTelemetry (on Datadog's list, not Keep's)
Pick Keep if you want…
- Unified alert management with AI-driven correlation
- Open-source code (keephq/keep on GitHub)
- Integrations with AppDynamics, Datadog or Jira (on Keep's list, not Datadog's)
Side by side
- What it is
- Datadog:Datadog is a cloud monitoring and security platform that provides observability across infrastructure, applications, logs, and security.
- Keep:Keep is an open-source platform to create, manage, query and automate alerts across many systems.
- Best for
- Datadog:Unified observability and security for cloud apps
- Keep:Unified alert management with AI-driven correlation
- Who it’s for
- Datadog:Developers, IT ops, and security teams managing cloud-native workloads.
- Keep:SREs, operators, engineers and teams that need centralized alert management.
- Pricing
- Datadog:Freemium
- Keep:Freemium
- Plans
- Datadog:AI Credits $500 per 500 credits per month · Code Coverage $8 per committer per month · Log Management $0.10 per GB ingested per month
- Keep:Startup $0 / month · Growth $199 / month
- Open source
- Datadog:—
- Keep:Yes, 12,375 GitHub stars
- Works with
- Datadog:Amazon Web Services, Kubernetes, OpenTelemetry, GitHub, GitLab, Azure DevOps
- Keep:AppDynamics, Datadog, Jira, PagerDuty, GitHub, CloudWatch, Grafana, GCP Monitoring
Datadog features
- Infrastructure Monitoring. Collects metrics, custom metrics, and alerts from servers, containers, and cloud services.
- Application Performance Monitoring. Tracks request latency, traces, and provides continuous profiling.
- Log Management. Ingests, parses, enriches and stores logs with flexible retention and alerting.
- Security Suite. Offers code security, vulnerability management, cloud security posture and SIEM.
- Synthetic & Real User Monitoring. Proactively tests user journeys and captures real-user performance data.
- AI-powered Bits Suite. AI agents for chat, investigation, code fixes, and custom workflow automation.
Keep features
- Bi-directional integrations. Connect to over 90 providers such as Datadog, Jira, PagerDuty and custom sources, keeping alerts in sync.
- Single pane of glass. Query, slice and analyze alerts with a common expression language and rule-based grouping.
- Workflow engine. Build YAML-based or UI workflows to enrich alerts, run Python scripts or update tickets.
- AI-driven AIOps (Enterprise). Correlate alerts using past incidents and a continuous feedback loop to reduce noise.
- Self-hosted or cloud deployment. Choose open-source self-hosting or a managed cloud service with optional enterprise features.
- RBAC & SSO (Enterprise). Control access with role-based permissions and SAML/SSO integration.
Datadog vs Keep FAQ
Is Datadog or Keep free?+
Datadog has a free plan and paid plans. Keep has a free plan (Startup); paid plans start at $199/month (Growth).
Is Datadog or Keep open source?+
Keep is open source (keephq/keep on GitHub). DevHunt has no public source repository on record for Datadog.
Do Datadog and Keep integrate with the same tools?+
Partly. Both list GitHub. Datadog also lists Amazon Web Services, Kubernetes, OpenTelemetry, GitLab and 1 more; Keep also lists AppDynamics, Datadog, Jira, PagerDuty and 3 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.