Last9 vs Datadog: In-Depth Comparison 2026

Datadog’s per-host pricing creates a predictable pattern: teams start small, bills grow faster than infrastructure does, and eventually someone asks if there is a cheaper way to do the same thing. Last9 enters that conversation as a SaaS alternative with usage-based pricing and Prometheus compatibility, but the differences run deeper than cost alone.

Datadog is a full-stack SaaS observability platform with 1,000+ integrations, mature APM, and a dashboard layer that covers metrics, logs, traces, RUM, and synthetics out of the box. Last9 is a managed Prometheus and OpenTelemetry backend that adds an SRE analysis layer on top, designed for teams already using Prometheus or OTel who want to offload backend scaling without rebuilding their instrumentation.

This guide compares Last9 and Datadog across pricing transparency, OpenTelemetry compatibility, deployment model, and signal depth. Both are SaaS-only platforms, but they solve different problems: Datadog gives you everything in one vendor, Last9 gives you a managed backend for telemetry you already generate with open standards.

Quick Comparison: Last9 vs Datadog

	Last9	Datadog
Deployment	SaaS only	SaaS only
Pricing model	Usage-based (GB ingested)	Per-host + per-feature add-ons
OpenTelemetry	Native OTLP support	Partial (requires Datadog Agent translation)
Prometheus	Native PromQL and remote write	Compatible via integration
Logs	Supported, Loki-compatible	Native, advanced log analytics
APM / Traces	OTel-native distributed tracing	Mature APM with code-level profiling
RUM	Not included	Included, with session replay
Synthetics	Not included	Included, multi-location testing
On-prem option	No	No
Best for	Teams using Prometheus/OTel who want managed backend	Teams wanting full-stack coverage in one platform

Last9 Overview

Last9 is a managed observability backend for teams already generating Prometheus metrics and OpenTelemetry traces. It provides a Prometheus-compatible storage layer with extended retention, a Grafana-compatible query interface, and an SRE-focused analysis layer that surfaces high-cardinality issues, slow queries, and cardinality explosions before they degrade performance.

Last9 does not ship agents or SDKs. You send data using Prometheus remote write or OpenTelemetry Collector, keep your existing dashboards and alerting rules, and Last9 handles storage, query performance, and retention. It also supports Loki for logs, making it a managed alternative to running Prometheus, Loki, and Tempo yourself.

Strengths:

• Native Prometheus and OpenTelemetry compatibility with no proprietary agents
• PromQL query interface means existing dashboards and alerts work without changes
• Cardinality analysis and cost controls to prevent runaway metric growth
• Managed backend eliminates need to run and scale Prometheus servers

Drawbacks:

• No native RUM, synthetics, or infrastructure monitoring beyond metrics
• Smaller integration ecosystem compared to Datadog
• SaaS-only deployment means no on-prem or hybrid option for regulated industries
• Limited APM depth compared to Datadog’s code-level profiling and dependency mapping

Datadog Overview

Datadog is a full-stack SaaS observability platform that covers infrastructure monitoring, APM, logs, RUM, synthetics, security monitoring, and CI/CD visibility. It ships a proprietary agent that auto-discovers services, collects telemetry, and sends it to Datadog’s managed backend. The platform is designed to give teams everything they need in one vendor, with 600+ out-of-the-box integrations spanning cloud providers, databases, container orchestrators, and third-party SaaS tools.

Datadog’s APM provides distributed tracing, code-level profiling, live process monitoring, and automatic service dependency mapping. Its log management includes indexing, search, and pattern detection. RUM tracks frontend performance with session replay. Synthetics run scripted tests from multiple global locations.

Strengths:

• Broadest integration ecosystem with 600+ turn-key integrations
• Mature APM with code-level profiling and live debugging
• Full-stack coverage: metrics, logs, traces, RUM, synthetics, security in one platform
• Strong anomaly detection and correlation across signal types

Drawbacks:

• Pricing scales with hosts, containers, custom metrics, and indexed logs, making cost hard to predict at scale (Datadog pricing)
• Proprietary Datadog Agent creates vendor lock-in; switching requires re-instrumentation
• SaaS-only deployment means no option for teams with data residency requirements
• High-cardinality metrics incur additional costs; teams report bills jumping unpredictably (r/devops discussion)

Feature by Feature Comparison

Metrics and Time Series Data

Last9: Native Prometheus remote write and PromQL support means Last9 is a drop-in replacement for self-hosted Prometheus. You keep your existing exporters, scrape configs, and dashboards. Last9 adds extended retention (up to 13 months by default), high-cardinality analysis, and query performance optimizations. Cardinality controls let you set budgets per metric or label to prevent cost explosions.

Datadog: Metrics collection happens through the Datadog Agent, which auto-discovers services and collects standard metrics. Custom metrics are billed separately, starting at $0.05 per 100 custom metrics per host per month. Datadog supports Prometheus metrics via an OpenMetrics check, but this translates Prometheus metrics into Datadog’s format rather than preserving native PromQL compatibility. High-cardinality tags increase cost.

Winner for Prometheus-native teams: Last9. If your instrumentation is already Prometheus-based, Last9 preserves your workflow. Datadog requires translation and charges separately for custom metrics.

Distributed Tracing and APM

Last9: Supports OpenTelemetry traces natively via OTLP. You can send traces from OTel SDKs or the OTel Collector and query them in Last9’s UI. Tracing is included in the usage-based pricing model. Last9 provides trace search, span analysis, and latency breakdowns, but does not offer code-level profiling or continuous profiling features.

Datadog: Datadog APM is one of its strongest features. It provides distributed tracing, code-level profiling, live process monitoring, and automatic service dependency mapping. Datadog’s Continuous Profiler shows CPU and memory usage at the function level. APM pricing starts at $31 per host per month for infrastructure monitoring plus $40 per million ingested spans (Datadog APM pricing). Datadog APM supports OpenTelemetry via the Datadog Agent, but traces are transformed into Datadog’s format.

Winner for APM depth: Datadog. Its APM tooling is more mature, with code profiling and deeper diagnostics. Last9 covers distributed tracing but does not match Datadog’s APM feature set.

Log Management

Last9: Supports logs via Loki-compatible API. You can send logs using Promtail, Fluentd, or any Loki-compatible agent. Logs are queryable using LogQL, and retention follows the same usage-based pricing as metrics. Last9 does not offer advanced log analytics features like pattern detection or machine learning-based anomaly detection in logs.

Datadog: Log management is a core Datadog feature. It includes ingestion, indexing, search, pattern detection, and automatic parsing. Logs are correlated with traces and metrics in a unified interface. Pricing is $0.10 per GB ingested, with additional indexing costs starting at $1.70 per million log events indexed (Datadog log pricing). Indexing charges add up quickly for log-heavy workloads.

Winner for log analytics: Datadog. Its log platform is more feature-rich. Last9 handles logs but with fewer advanced analytics capabilities.

Real User Monitoring and Synthetics

Last9: Does not include RUM or synthetic monitoring. Teams needing frontend performance monitoring or uptime checks must use separate tools.

Datadog: Includes full RUM with session replay, frontend error tracking, and Core Web Vitals monitoring. Synthetic monitoring runs scripted API and browser tests from multiple global locations. RUM pricing starts at $1.35 per 1,000 sessions, and synthetics pricing starts at $5 per 10,000 test runs (Datadog RUM and synthetics pricing).

Winner: Datadog. Last9 does not compete in this category.

Deployment and Data Residency

Last9: SaaS-only. Data is stored in Last9’s managed infrastructure. No on-prem or self-hosted option is available.

Datadog: SaaS-only. Datadog offers regional data centers (US, EU, Asia-Pacific) for compliance with regional data residency requirements, but no on-prem deployment option exists.

Winner: Tie, but neither offers on-prem. Teams needing on-prem deployment should consider alternatives like CubeAPM, which runs entirely inside your cloud or data center.

Alerting and Incident Management

Last9: Supports Prometheus-style alerting rules with Alertmanager compatibility. You can define alerts in PromQL and route them to Slack, PagerDuty, or webhooks. Last9 also includes anomaly detection for high-cardinality metrics and cardinality budget alerts to prevent cost spikes.

Datadog: Advanced alerting with composite alerts, anomaly detection, forecasting, and outlier detection. Alerts correlate across metrics, logs, and traces. Datadog’s incident management features include automated incident creation, timeline tracking, and post-mortem templates. Alerting is included in base pricing, but advanced features like Watchdog (AI-driven anomaly detection) are part of higher-tier plans.

Winner for alert sophistication: Datadog. Its alerting and incident management features are more mature. Last9 covers the basics well for Prometheus users.

Pricing Comparison

Last9 Pricing

Last9 uses usage-based pricing billed per GB of data ingested. Pricing starts around $0.30 per GB for metrics, logs, and traces combined. Extended retention (13 months) is included by default. There are no per-host, per-user, or per-feature charges.

Cost scenario (mid-market team):

• 30 TB ingestion per month (~20 TB logs, 7 TB traces, 3 TB metrics)
• 100 hosts
• 30-day retention for logs, 13-month retention for metrics and traces

Estimated monthly cost: ~$9,000

This estimate models usage-based ingestion pricing with included retention. Actual costs depend on compression, cardinality, and retention settings. Verify current rates at [Last9’s pricing page](https://last9.io/pricing/).

Datadog Pricing

Datadog pricing is per-host, per-feature, with additional charges for custom metrics, indexed logs, and APM spans. Infrastructure monitoring starts at $15 per host per month. APM adds $31 per host per month plus $40 per million ingested spans. Log management is $0.10 per GB ingested plus $1.70 per million events indexed. RUM is $1.35 per 1,000 sessions. Synthetics are $5 per 10,000 test runs.

Cost scenario (same mid-market team):

• 100 hosts
• 30 TB log ingestion (30% indexed)
• 7 TB traces (~700 million spans)
• 500,000 active metric series
• 5 million RUM sessions
• 100,000 synthetic test runs

Estimated monthly cost:

• Infrastructure monitoring: 100 hosts × $15 = $1,500
• APM: 100 hosts × $31 + (700M spans ÷ 1M × $40) = $3,100 + $28,000 = $31,100
• Logs: (30 TB × $0.10/GB) + (9 TB indexed ÷ 1M events × $1.70) = $3,000 + ~$15,300 = $18,300
• Custom metrics: 500k series × $0.05/100 = $2,500
• RUM: 5M sessions ÷ 1,000 × $1.35 = $6,750
• Synthetics: 100k runs ÷ 10k × $5 = $50
• Total: ~$62,200/month

This estimate models a production-ready setup with APM, logs, and RUM. Enterprise discounts and negotiated rates are not reflected here. Pricing based on [Datadog’s public rate card](https://www.datadoghq.com/pricing/).

Datadog’s cost grows with every dimension: more hosts, more indexed logs, more custom metrics. Last9’s cost scales primarily with data volume.

Who Should Choose Each

Choose Last9 if:

• You already use Prometheus and want to offload backend scaling without changing instrumentation
• You want PromQL and Grafana compatibility with managed retention and query performance
• You need high-cardinality metrics with cost controls and cardinality budgets
• You want usage-based pricing that scales with data volume, not host count
• You are willing to use separate tools for RUM and synthetics

Choose Datadog if:

• You want full-stack observability (metrics, logs, traces, RUM, synthetics) in one platform
• You need mature APM with code-level profiling and live debugging
• You want 600+ out-of-the-box integrations and minimal setup time
• You prioritize vendor-managed ease of use over cost optimization
• You can absorb per-host, per-feature pricing at scale

Consider CubeAPM if:

• You need on-prem or VPC-hosted deployment for data residency or compliance
• You want OpenTelemetry-native observability with APM, logs, and infrastructure in one platform
• You want predictable $0.15/GB pricing with unlimited retention and no per-host fees
• You need full-stack observability but want to avoid SaaS data egress costs

CubeAPM runs entirely inside your cloud or data center, giving you Datadog-like full-stack coverage with Last9-like usage-based pricing and no telemetry leaving your infrastructure. Read more in our CubeAPM as a Datadog alternative guide.

Migration Path: Moving from Datadog to Last9

Migrating from Datadog to Last9 requires re-instrumenting with OpenTelemetry or Prometheus exporters, since Datadog’s proprietary agent does not send data to third-party backends.

Step 1: Assess telemetry sources Identify which services send data to Datadog. Check if they already expose Prometheus metrics or OpenTelemetry traces. If not, plan to add Prometheus exporters or OTel SDKs.

Step 2: Dual-ship metrics and traces Configure Prometheus remote write to send metrics to both Datadog and Last9 during migration. For traces, configure the OpenTelemetry Collector to send spans to both platforms. This lets you validate Last9’s data accuracy before cutting over.

Step 3: Migrate dashboards Last9 supports PromQL and Grafana dashboards. Export your Prometheus queries from Datadog (if they exist) or rewrite Datadog queries in PromQL. Last9 provides a Grafana-compatible interface for visualization.

Step 4: Migrate alerting rules Rewrite Datadog monitors as Prometheus alerting rules. Last9 supports Alertmanager-compatible routing, so you can reuse existing notification channels.

Step 5: Cut over and decommission Datadog Once Last9 is validated, stop sending data to Datadog and decommission the Datadog Agent. Monitor for gaps in coverage during the first few days.

Timeline: Plan 2 to 4 weeks for a phased migration, depending on the number of services and complexity of existing instrumentation.

Verdict

Last9 and Datadog solve different problems. Datadog is a full-stack SaaS platform optimized for breadth, integration density, and ease of use. Last9 is a managed Prometheus and OpenTelemetry backend optimized for teams who want to keep their open standards instrumentation while offloading storage and scaling.

If you already use Prometheus or OpenTelemetry and want to escape the operational burden of running your own backend, Last9 is the obvious pick. If you want everything in one vendor with minimal setup, Datadog is the safer choice, but expect costs to scale faster than your infrastructure does.

For teams needing on-prem deployment, data residency compliance, or predictable pricing without per-host fees, CubeAPM offers a third path: full-stack observability with OpenTelemetry-native instrumentation, self-hosted deployment, and $0.15/GB pricing with unlimited retention.

Disclaimer: The information in this article reflects the latest details available at the time of publication and may change as technologies and products evolve. Features, pricing, and plan limits can change over time. Always verify the latest information directly with the vendor before making purchasing or deployment decisions.

Frequently Asked Questions