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Datadog

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Free version
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User industry
  1. Information technology and software
  2. Media and communications
  3. Professional services (engineering, legal, consulting, etc.)

What is Datadog

Datadog is a SaaS observability platform that centralizes metrics, logs, traces, and related telemetry to monitor cloud applications and infrastructure. It is used by DevOps, SRE, engineering, and security teams to troubleshoot performance issues, manage alerts, and investigate incidents across distributed systems. The product provides a large catalog of integrations and agents for common cloud services, containers, and databases, with dashboards and analytics in a single UI. It also offers adjacent modules for security monitoring, incident management, and cost visibility that extend beyond core monitoring.

pros

Broad telemetry in one platform

Datadog supports metrics, logs, and distributed tracing under a unified data model and user experience. This reduces the need to stitch together separate tools for APM, infrastructure monitoring, and log analysis. Cross-linking between traces, logs, and infrastructure context helps teams move from symptom to root cause within the same workflow.

Large integration ecosystem

Datadog provides many out-of-the-box integrations for cloud providers, container platforms, databases, and common enterprise services. This typically shortens time-to-value compared with building custom collectors or relying on generic API connectors. The agent-based approach also enables consistent host and container telemetry collection across heterogeneous environments.

Strong alerting and incident workflows

Datadog includes alerting, on-call/incident response capabilities, and collaboration features that connect detection to response. Teams can route alerts, manage escalations, and track incident timelines without leaving the platform. This supports operational use cases where monitoring, triage, and response need to be tightly coupled.

cons

Cost can scale quickly

Pricing is commonly tied to data volume, hosts, containers, and enabled modules, which can increase spend as environments grow. High-cardinality metrics, extensive log retention, and broad APM sampling can materially affect cost. Organizations often need governance controls (sampling, filtering, retention policies) to keep usage predictable.

Complexity across many modules

Datadog’s breadth means configuration spans multiple products (APM, logs, security, cost, incident tools) with distinct settings and permissions. Teams may require dedicated platform ownership to standardize tagging, dashboards, and alert policies. Without consistent instrumentation and tagging, cross-service views can become fragmented.

Data egress and portability constraints

As a hosted platform, Datadog requires sending telemetry to its service, which can raise data residency, compliance, or network egress considerations. Migrating historical telemetry and dashboards to another system can be non-trivial due to proprietary schemas and feature differences. Some organizations prefer more control via self-hosted components, which Datadog does not primarily target.

Plan & Pricing

Datadog — Official pricing (selected products)

Infrastructure (tiered)

Plan Price Key features & notes
Free $0 per host/month Core collection & visualization, 1-day metric retention, up to 5 hosts included.
Pro $15 per host/month (billed annually) 1,000+ integrations, 15-month metric retention, out-of-the-box dashboards. ($18 on-demand).
Enterprise $23 per host/month (billed annually) ML-based alerts, Live Processes, Governance Console, advanced admin controls. ($27 on-demand).

Application Performance Monitoring (tiered)

Plan Price Key features & notes
APM $31 per host/month (billed annually) End-to-end distributed traces, 15-minute live trace search, 15-day historical trace analytics.
APM Pro $35 per host/month (billed annually) Everything in APM plus Data Streams Monitoring.
APM Enterprise $40 per host/month (billed annually) Adds Continuous Profiler, code-level tracing and extended profiling features.

Cloud SIEM (tiered / usage-linked)

Plan Price Key features & notes
Cloud SIEM $5 per million events analyzed/month (billed annually) Real-time detection rules, 15-month retention of security signals; $7.50 on-demand. Ingestion starts at $0.10 per ingested/scanned GB.

Usage-based / Pay-as-you-go products

Log Management (usage-based) Pricing model: Pay-as-you-go (multiple billing options) Free tier/trial: 14-day free trial available for the platform. Example costs (official):

  • Ingest (processing): $0.10 per ingested or scanned GB, per month (billed annually or $0.10 on-demand).
  • Indexed log events (Standard Indexing) — per 1M log events, per month (examples by retention): 7-day retention $1.27 per 1M; 15-day retention $1.70 per 1M; 30-day retention $2.50 per 1M.
  • Flex Logs Storage: $0.05 per 1M events stored, per month (Flex tier storage for longer retention).
  • Flex Logs Starter: $0.60 per 1M events stored, per month (starter bundle with bundled compute for smaller volumes).
  • Log forwarding to custom destinations: $0.25 per GB outbound, per destination, per month. Discounts / notes: Multi-year / volume discounts available; billed annually or on-demand rates quoted on site.

Container Monitoring (usage-based) Pricing model: Hybrid (prepaid per-container monthly or hourly metering) Example costs: Prepaid containers: $1 per container/month (billed annually). On-demand: $0.002 per container per hour. (Container allotments also provided per-host by plan.)

Custom Metrics / Metrics pricing (usage-based) Pricing model: Usage-based Example costs: Custom Metrics: $5 per 100 custom metrics, per month (official list). Ingested custom metrics: $0.10 per 100 ingested custom metrics, per month. (Custom metrics allocations also vary by plan.)

Observability Pipelines (usage-based) Pricing model: Pay-as-you-go Example costs: Observability Pipelines ingestion: $0.095 per ingested GB, per month. Observability Pipelines Plus: $1950 per vCPU, per month (listed on pricing table).

Other notable items (official):

  • Audit Trail: billed as a percentage of spend (2% annually; 3% on-demand noted on pricing table).
  • Serverless monitoring: starting at $3 per active application instance per month (billed annually) / $4.32 on-demand.
  • Many security, digital-experience, and other product-level prices are listed on the official pricing pages; volume/multi-year discounts and custom enterprise pricing available via contact/sales.

Seller details

Datadog, Inc.
New York, NY, USA
2010
Public
https://www.datadoghq.com/
https://x.com/datadog
https://www.linkedin.com/company/datadog/

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Datadog
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