Logging · head to head
Grafana Loki vs Apache Spark MLlib

Apache Spark MLlib
Machine Learning
Scalable machine learning on Apache Spark
- From
- Free
- Rated
- -
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; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
- They diverge on capability: Grafana Loki covers Log aggregation, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which Grafana Loki and Apache Spark MLlib actually diverge.
| Attribute | Grafana Loki | Apache Spark MLlib |
|---|---|---|
| Pricing model | freemium | open-source |
| Platforms | Self-hosted (open source), Managed (Grafana Cloud Logs), Enterprise (self-managed with support) | Linux, macOS, Windows |
| Category | Logging | Machine Learning |
| Founded | 2014 | 1999 |
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 Apache Spark MLlib
- Classification
- Regression
- Clustering
- Collaborative filtering
- Feature engineering
- Apache Spark
- Hadoop
- Kafka
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 Apache Spark MLlib
- Teams needing index-free log aggregation for high-volume environmentsnot Apache Spark MLlib
Apache Spark MLlib
- Machine learningnot Grafana Loki
- Data sciencenot Grafana Loki
- Distributed computingnot 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
Apache Spark MLlib
- Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
Pricing, plan by plan
Grafana Loki
FreeNo published plan breakdown. See the Grafana Loki review.
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
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.
Choose Apache Spark MLlib if
- You need classification.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want regression.
Questions people ask
- Is Grafana Loki or Apache Spark MLlib better?
- Neither clearly leads. Grafana Loki starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Grafana Loki or Apache Spark MLlib?
- Grafana Loki starts at Free and Apache Spark MLlib at Free.
- Does Grafana Loki or Apache Spark MLlib run on more platforms?
- Grafana Loki runs on Self-hosted (open source), Managed (Grafana Cloud Logs), Enterprise (self-managed with support). Apache Spark MLlib runs on Linux, macOS, Windows.
- 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 Apache Spark MLlib is typically brought in for.
- What can Grafana Loki do that Apache Spark MLlib cannot?
- Grafana Loki covers Log aggregation, Label-based indexing, LogQL language, Cost-effective. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
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.
SourceApache Spark MLlib: How much does Apache Spark MLlib cost?
MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.
SourceGrafana Loki: How long is data retained in Grafana's free plan?
The free tier retains metrics, logs, traces, and profiles for 14 days.
SourceApache Spark MLlib: What licensing does MLlib use?
MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.
SourceGrafana Loki: What is the minimum cost for Grafana Enterprise?
Grafana Enterprise has a minimum annual commitment of 25,000 dollars.
SourceApache Spark MLlib: How do I use MLlib?
MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.
SourceGrafana 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.
SourceGrafana 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.
SourceRelated pages
More on Grafana Loki
More on Apache Spark MLlib
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- Apache Spark MLlib vs New Relic
- Apache Spark MLlib vs Datadog Logs
- Apache Spark MLlib vs Coralogix
- Apache Spark MLlib vs incident.io
- Apache Spark MLlib vs Cronitor
- Apache Spark MLlib vs FireHydrant
- Apache Spark MLlib vs Healthchecks
- Apache Spark MLlib vs Openstatus
- Apache Spark MLlib vs Rootly
- Apache Spark MLlib vs Checkly
- Apache Spark MLlib vs CloudWatch
- Apache Spark MLlib vs Dynatrace
- Apache Spark MLlib vs InfluxDB
- Apache Spark MLlib vs Airbrake
- Apache Spark MLlib vs AppDynamics
- Apache Spark MLlib vs Axiom
- Apache Spark MLlib vs Azure Monitor
- Apache Spark MLlib vs AWS SageMaker
- Apache Spark MLlib vs Google Vertex AI
- Apache Spark MLlib vs Azure Machine Learning
- Apache Spark MLlib vs DataRobot
- Apache Spark MLlib vs MLflow
- Apache Spark MLlib vs Snowflake
- Apache Spark MLlib vs TensorFlow
- Apache Spark MLlib vs Comet ML
- Apache Spark MLlib vs Jupyter
- Apache Spark MLlib vs LangChain
- Apache Spark MLlib vs Pinecone
- Apache Spark MLlib vs Python
- Apache Spark MLlib vs PyTorch
- Apache Spark MLlib vs scikit-learn
- Apache Spark MLlib vs Weaviate
- Apache Spark MLlib vs Weights & Biases
- Apache Spark MLlib vs Alteryx
- Apache Spark MLlib vs Anaconda

