The best open-source, self-hostable Datadog alternative in 2026 is the Grafana stack — Prometheus for metrics, Loki for logs, and Grafana for dashboards and alerting. Together they cover the same core observability jobs as Datadog, run on infrastructure you control, and never bill you per host or per data-series. The trade-off is real: you operate the stack yourself instead of paying for a managed one.
Short answer
Run Grafana with Prometheus and Loki. Prometheus scrapes metrics, Loki stores logs, and Grafana unifies both into dashboards with alerting on top. All three are open source and self-hostable, so your telemetry stays on your servers. Add Tempo for traces and OpenTelemetry for instrumentation to reach full parity with Datadog's three pillars.
I run open-source infrastructure for Indian SMBs for a living, so this is not a listicle — it is the observability stack my team actually deploys and operates. I am Manoj, an ERPNext and Frappe implementation consultant at Mith Tech in Bengaluru, and monitoring the systems we host is part of the job.
Honest take: the Grafana stack matches Datadog on capability, but it does not match it on convenience — you are trading a polished single vendor for a set of parts you have to assemble and maintain yourself.
What is the best open-source Datadog alternative in 2026?
Grafana paired with Prometheus and Loki is the strongest open-source, self-hosted Datadog alternative in 2026. Prometheus collects and stores metrics, Loki collects and stores logs, and Grafana visualises both and fires alerts. Each project is production-proven at large scale, actively maintained, and free to run on your own servers.
Datadog bundles infrastructure monitoring, log management, APM and more into one managed platform — that convenience is its main selling point. The Grafana stack unbundles the same jobs into focused, interoperable tools. You lose the single-pane-of-glass-out-of-the-box experience and gain ownership of your data plus a licence model with no usage meter.
| Capability | Datadog | Grafana stack (self-hosted) |
|---|---|---|
| Licence model | Proprietary SaaS, usage-billed | Open source, free to self-host |
| Metrics | Built in | Prometheus |
| Logs | Built in | Loki |
| Traces / APM | Built in | Tempo + OpenTelemetry |
| Dashboards | Built in | Grafana |
| Alerting | Built in | Grafana / Prometheus Alertmanager |
| Data location | Datadog's cloud | Your infrastructure |
| Who operates it | Datadog | You (or a partner) |
Skimmable summary: Grafana + Prometheus + Loki cover Datadog's core jobs as open source you self-host — same capabilities, your data, but you run it.
How does the Grafana stack replace Datadog's core features?
Each Datadog pillar maps to a dedicated open-source project. Prometheus scrapes numeric metrics from your services on a schedule and stores them in a time-series database queried with PromQL. Loki ingests log streams and indexes them by labels rather than full text, which keeps it lightweight. Grafana sits on top, turning both into dashboards and alerts through one interface.
The glue is consistent labels. Because Prometheus metrics and Loki logs share the same label scheme, you can pivot from a spiking metric to the exact logs behind it inside one Grafana view. That correlation is the experience people value in Datadog, and the open-source stack reproduces it once the labels line up.
- Metrics: Prometheus, with its large ecosystem of exporters for databases, queues, hosts and Kubernetes.
- Logs: Loki, designed to be "like Prometheus, but for logs" — label-indexed and cost-efficient to store.
- Dashboards: Grafana, with a rich panel library and support for many data sources beyond just these two.
- Alerts: Grafana's unified alerting, or Prometheus Alertmanager, routing to email, Slack, PagerDuty and more.
Skimmable summary: Prometheus handles metrics, Loki handles logs, Grafana handles dashboards and alerts, and shared labels let you jump from a metric to its logs in one view.
Is the Grafana stack really open source and free?
Yes — the core projects are genuinely open source under recognised licences, and self-hosting them carries no licence fee. Grafana and Loki are licensed under AGPLv3 (relicensed from Apache 2.0 by Grafana Labs in 2021). Prometheus is licensed under Apache 2.0 and is a CNCF graduated project — the second project to graduate after Kubernetes. You can download, run and modify all three without paying anyone.
"Free to self-host" is not the same as "zero cost", though. You still pay for the servers, storage and engineering time to run the stack. What you avoid is a per-host or per-data-volume subscription that grows with your footprint. For teams whose telemetry scales faster than their revenue, that difference in cost model is the whole point.
Licence facts, cleanly stated
Grafana: AGPLv3. Loki: AGPLv3. Prometheus: Apache 2.0 (CNCF graduated). Grafana Labs also offers managed and enterprise editions — pricing there varies by edition, so check the vendor's official page rather than any blog figure.
Skimmable summary: Grafana and Loki are AGPLv3, Prometheus is Apache 2.0 and CNCF-graduated — all free to self-host, though you still fund the hosting and operations.
What can Datadog do that the open-source stack cannot?
Datadog's real advantage is that everything is integrated, hosted and supported for you on day one. Out of the box it ships APM, real-user monitoring, synthetics, security monitoring, and hundreds of vendor-maintained integrations under one login, with a support contract behind it. Assembling and maintaining the equivalent breadth from open-source parts takes deliberate engineering effort.
The Grafana stack closes most of that gap but asks you to do the assembly. Traces need Tempo plus OpenTelemetry instrumentation. Long-term metric storage at large scale may need a project like Mimir or Thanos. Upgrades, high availability, retention tuning, backups and access control are all yours to plan. None of this is exotic, but it is work — and pretending otherwise is how self-hosting projects go wrong.
| Consideration | Where the gap sits |
|---|---|
| Time to first dashboard | Datadog is faster to stand up |
| Breadth on day one | Datadog bundles more in one place |
| Traces / APM | Grafana needs Tempo + OpenTelemetry added |
| Metric storage at scale | Grafana may need Mimir or Thanos |
| Ongoing operations | You own it in the self-hosted stack |
| Data ownership & residency | Self-hosting wins outright |
Skimmable summary: Datadog wins on out-of-the-box breadth, speed and vendor support; the Grafana stack wins on data ownership and cost model but hands you the operations.
Who should self-host observability, and who should not?
Self-host when data ownership, residency or long-term cost control matter more than day-one convenience — and when you have, or can hire, someone to operate the stack. Teams running their own servers, subject to data-locality expectations, or watching a usage-based monitoring bill climb are the natural fit. So are teams that already live in Kubernetes, where Prometheus is effectively the native metrics standard.
Stay on managed SaaS if your team is tiny, observability is not close to your core competence, and the subscription is comfortably affordable at your scale. There is no prize for self-hosting a stack nobody has time to maintain. The right answer is the one your team can actually operate through an incident at 2am.
Instrument with OpenTelemetry
Emit metrics, logs and traces from your applications using OpenTelemetry, the vendor-neutral standard. This keeps you portable and avoids lock-in to any single backend.
Collect metrics with Prometheus
Deploy Prometheus to scrape your services and infrastructure. Add exporters for your databases, queues and hosts.
Collect logs with Loki
Ship logs into Loki with a matching label scheme so they correlate cleanly with your metrics.
Visualise and alert in Grafana
Point Grafana at Prometheus and Loki, build dashboards, and configure unified alerting to your on-call channels.
Add traces and plan for scale
Introduce Tempo for distributed tracing, and evaluate Mimir or Thanos for long-term, high-volume metric storage as you grow.
Skimmable summary: self-host when ownership, residency or scaling cost matter and you can operate the stack; stay on SaaS when the team is small and the bill is comfortable.
Frequently asked questions
Is Grafana a full replacement for Datadog?
Grafana alone is the dashboards-and-alerts layer, not a full replacement. Paired with Prometheus for metrics and Loki for logs — and Tempo plus OpenTelemetry for traces — the combined stack covers Datadog's core observability jobs. The difference is that you assemble and operate the pieces yourself instead of buying one managed platform.
Is the Grafana observability stack free?
Yes, the core projects are free to self-host. Grafana and Loki are AGPLv3-licensed and Prometheus is Apache 2.0, so there is no licence fee to run them. You still pay for servers, storage and the engineering time to operate the stack — free-to-self-host is a different cost model, not zero cost.
Prometheus or Datadog for a Kubernetes cluster?
Prometheus is the de-facto open-source metrics standard for Kubernetes, with native service discovery and a huge exporter ecosystem. If you want self-hosted, cloud-native monitoring and can run the stack, Prometheus with Grafana is the natural fit. Datadog remains attractive if you would rather pay for a fully managed experience.
Can I keep all my monitoring data in India?
Yes — that is a core reason to self-host. Because Prometheus, Loki and Grafana run on infrastructure you control, every metric and log line stays wherever you place those servers. With a managed SaaS platform, your telemetry lives in the vendor's cloud regions instead.
What about traces and APM in the open-source stack?
Traces come from Grafana Tempo, fed by OpenTelemetry instrumentation in your applications. That combination gives you distributed tracing comparable to Datadog's APM. It is an extra component to deploy and instrument, so most teams add it once their metrics and logs are already stable.
Do I need a team to run this myself?
You need someone who owns it — not necessarily a large team. A single competent engineer can run a small Grafana stack, but operations, upgrades and incident response still take real time. If you would rather not staff that, an implementation partner can host and maintain the stack for you while you keep full ownership of the data.
About the author
I am Manoj, an ERPNext and Frappe implementation consultant at Mith Tech, an independent open-source implementation studio in Bengaluru. My team deploys and operates self-hosted open-source infrastructure — from ERP to observability — for Indian SMBs, so the trade-offs in this post come from running these systems in production, not from a spec sheet.
Want observability you actually own?
If you would rather self-host your monitoring than rent it, we can help you stand up and run a Grafana, Prometheus and Loki stack — the same way we deploy open-source Grafana and the Frappe/ERPNext platform. See our wider open-source SaaS alternatives directory for the rest of the stack, explore ERPNext, or get in touch.