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Logging · head to head

Grafana Loki vs MLflow

Grafana Loki logo

Grafana Loki

Logging

Log Aggregation for Grafana Stack

From
Free
Rated
-
Full reviewWebsite
MLflow logo

MLflow

Machine Learning

Open source platform for managing the ML lifecycle

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Grafana Loki grafana Cloud Logs Pro plan includes only 30-day retention; retention beyond 30 days requires Enterprise plan with minimum $25,000 annual commitment; MLflow requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
  • They diverge on capability: Grafana Loki covers Log aggregation, MLflow covers Experiment tracking.

Where they differ

Only the attributes on which Grafana Loki and MLflow actually diverge.

Attributes where Grafana Loki and MLflow differ
AttributeGrafana LokiMLflow
Pricing modelfreemiumopen-source
PlatformsSelf-hosted (open source), Managed (Grafana Cloud Logs), Enterprise (self-managed with support)Web, Python API, REST API
CategoryLoggingMachine Learning
Founded20142018

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Grafana Loki

  • Log aggregation
  • Label-based indexing
  • LogQL language
  • Cost-effective
  • API
  • Webhooks
  • REST
  • Web support

Only in MLflow

  • Experiment tracking
  • Model registry
  • Model packaging
  • Deployment
  • Project organization
  • TensorFlow
  • PyTorch
  • scikit-learn

What people use each for

The jobs each tool is most often brought in to do.

Grafana Loki

  • Cost-sensitive organisations deploying Kubernetes and Prometheus ecosystemsnot MLflow
  • Teams needing index-free log aggregation for high-volume environmentsnot MLflow

MLflow

  • Machine learningnot Grafana Loki
  • Data analysisnot Grafana Loki
  • Model trainingnot Grafana Loki
  • Predictive analyticsnot Grafana Loki

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Grafana Loki

  • Grafana Cloud Logs Pro plan includes only 30-day retention; retention beyond 30 days requires Enterprise plan with minimum $25,000 annual commitment
  • Open-source version requires self-hosting all infrastructure including storage and scaling

MLflow

  • Requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
  • Basic UI and visualization: lacks rich interactive dashboards and real-time monitoring compared to commercial platforms
  • Limited collaboration: no built-in role-based access control or multi-user management features
  • Production monitoring gaps: drift detection, explainability, and alerting require separate dedicated tools

Pricing, plan by plan

Grafana Loki

Free

No published plan breakdown. See the Grafana Loki review.

MLflow

Free
  • Open SourceFree
    • Experiment tracking
    • Model registry
    • Deployment tools

Which should you pick?

Choose Grafana Loki if

  • You need log aggregation.
  • You want to start without paying.
  • You work on Self-hosted (open source), Managed (Grafana Cloud Logs), Enterprise (self-managed with support).
  • You also want label-based indexing.
Grafana Loki review

Choose MLflow if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Python API, REST API.
  • You also want model registry.
MLflow review

Questions people ask

Is Grafana Loki or MLflow better?
Neither clearly leads. Grafana Loki starts at Free and MLflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Grafana Loki or MLflow?
Grafana Loki starts at Free and MLflow at Free.
Does Grafana Loki or MLflow run on more platforms?
Grafana Loki runs on Self-hosted (open source), Managed (Grafana Cloud Logs), Enterprise (self-managed with support). MLflow runs on Web, Python API, REST API.
Can I use Grafana Loki for free?
Both have a free tier, so you can try either at no cost before committing.
What is Grafana Loki best used for?
Grafana Loki is most often used for cost-sensitive organisations deploying kubernetes and prometheus ecosystems, teams needing index-free log aggregation for high-volume environments. Of those, cost-sensitive organisations deploying kubernetes and prometheus ecosystems and teams needing index-free log aggregation for high-volume environments are not what MLflow is typically brought in for.
What can Grafana Loki do that MLflow cannot?
Grafana Loki covers Log aggregation, Label-based indexing, LogQL language, Cost-effective. MLflow covers Experiment tracking, Model registry, Model packaging, Deployment.

Answered from the vendors’ own pages

Grafana Loki: Is there a free tier for Grafana Cloud?

Yes, Grafana Cloud has a Free Forever plan at no cost with no registration required. The free tier is suitable for personal projects and early-stage startups.

Source
MLflow: Is MLflow free to use?

Yes, MLflow is completely open-source and free. However, teams typically incur infrastructure costs for hosting and maintaining the MLflow tracking server. Databricks offers Managed MLflow as a commercial option for cloud deployment.

Source
Grafana Loki: How long is data retained in Grafana's free plan?

The free tier retains metrics, logs, traces, and profiles for 14 days.

Source
MLflow: Can MLflow track experiments for different ML frameworks?

Yes, MLflow is framework-agnostic and works with TensorFlow, PyTorch, scikit-learn, XGBoost, and any other ML framework. This flexibility is a core design principle allowing teams to use diverse tools.

Source
Grafana Loki: What is the minimum cost for Grafana Enterprise?

Grafana Enterprise has a minimum annual commitment of 25,000 dollars.

Source
MLflow: Does MLflow include a model registry?

Yes, MLflow Model Registry (added in 2018) provides a central model store with versioning, stage transitions, and deployment tracking. This enables production model governance and lineage tracking.

Source
Grafana Loki: Do I need a credit card to use Grafana's free tier?

No, Grafana Cloud's Free Forever plan requires no credit card to get started.

Source
MLflow: What are MLflow's main limitations?

MLflow requires significant infrastructure setup and maintenance. The UI is basic compared to commercial tools, collaboration is limited without third-party RBAC solutions, and production monitoring requires separate tools for drift detection and alerting.

Source
Grafana Loki: How is Grafana Cloud billed?

Grafana Cloud Pro starts at 19 dollars per month with usage-based charges on top. Billing is monthly based on your consumption. Grafana offers automatic volume discounts based on your spending.

Source
MLflow: Can MLflow handle LLM and agent tracing?

MLflow added LLM and agent tracing capabilities in recent versions, though the native support is limited compared to specialized LLM observability platforms that replaced weak LLM tracing.

Source
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