Software Development · head to head
Langfuse vs Apache Spark MLlib

Langfuse
Software Development
Simple pricing for projects of all sizes
- From
- Free
- Rated
- -

Apache Spark MLlib
Machine Learning
Scalable machine learning on Apache Spark
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Langfuse free Hobby plan limited to 2 users and 30-day data retention; 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.
Where they differ
Only the attributes on which Langfuse and Apache Spark MLlib actually diverge.
| Attribute | Langfuse | Apache Spark MLlib |
|---|---|---|
| Pricing model | freemium | open-source |
| Platforms | Web | Linux, macOS, Windows |
| Category | Software Development | Machine Learning |
| Founded | Unknown | 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 Langfuse
Nothing recorded that Apache Spark MLlib does not also cover.
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.
Langfuse
No use cases recorded yet. See the Langfuse review.
Apache Spark MLlib
- Machine learningnot Langfuse
- Data sciencenot Langfuse
- Distributed computingnot Langfuse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Langfuse
- Free Hobby plan limited to 2 users and 30-day data retention
- Overage pricing applies beyond included units; graduated rates from $8.00 per 100k units down to $6.00 per 100k units at 50M+ volume
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
Langfuse
Free- HobbyFree
- 50k units/month
- 30-day data retention
- 2 users maximum
- Core$29/month
- 100k units/month
- 90-day data retention
- Unlimited users
- Pro$199/month
- 100k units/month
- 3-year data retention
- SOC2 & ISO27001 compliance
- Enterprise$2499/month
- Custom rate limits
- Dedicated support engineer
- SCIM API & audit logs
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
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 Langfuse or Apache Spark MLlib better?
- Neither clearly leads. Langfuse 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, Langfuse or Apache Spark MLlib?
- Langfuse starts at Free and Apache Spark MLlib at Free.
- Does Langfuse or Apache Spark MLlib run on more platforms?
- Langfuse runs on Web. Apache Spark MLlib runs on Linux, macOS, Windows.
- Can I use Langfuse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can Langfuse do that Apache Spark MLlib cannot?
- Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
Answered from the vendors’ own pages
Langfuse: What does Langfuse cost?
Langfuse starts at $29/month for the Core plan (100k units/month). Pro costs $199/month with 3-year data retention. Enterprise costs $2499/month for custom rate limits and dedicated support.
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.
SourceLangfuse: Does Langfuse have a free plan?
Yes, the Hobby plan is free with 50k units/month, 30-day data retention, and support for up to 2 users.
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.
SourceLangfuse: What happens if I exceed my unit limits on Langfuse?
Overage pricing applies with graduated rates: $8.00 per 100k units for 100k-1M units, $7.00 per 100k units for 1M-10M units, $6.50 per 100k units for 10M-50M units, and $6.00 per 100k units for 50M+ units.
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.
SourceLangfuse: Are there discounts available on Langfuse?
Early-stage startups receive 50% off the first year. Research and student accounts qualify for up to 100% off. Non-profits receive $199 monthly credits.
SourceRelated pages
More on Apache Spark MLlib
Other head to heads
- Langfuse vs Cursor
- Langfuse vs Windsurf
- Langfuse vs Zed
- Langfuse vs Amp
- Langfuse vs Braintrust
- Langfuse vs Codacy
- Langfuse vs DeepSource
- Langfuse vs Devin
- Langfuse vs SonarQube Cloud
- Langfuse vs Augment Code
- Langfuse vs Baseten
- Langfuse vs Drizzle ORM
- Langfuse vs Flagsmith
- Langfuse vs Unleash
- Langfuse vs Bun
- Langfuse vs Cline
- Langfuse vs Factory
- Langfuse vs Humanloop
- Langfuse vs AWS SageMaker
- Langfuse vs Google Vertex AI
- Langfuse vs Azure Machine Learning
- Langfuse vs DataRobot
- Langfuse vs MLflow
- Langfuse vs Snowflake
- Langfuse vs TensorFlow
- Langfuse vs Comet ML
- Langfuse vs Jupyter
- Langfuse vs LangChain
- Langfuse vs Pinecone
- Langfuse vs Python
- Langfuse vs PyTorch
- Langfuse vs scikit-learn
- Langfuse vs Weaviate
- Langfuse vs Weights & Biases
- Langfuse vs Alteryx
- Langfuse vs Anaconda
- Apache Spark MLlib vs Cursor
- Apache Spark MLlib vs Windsurf
- Apache Spark MLlib vs Zed
- Apache Spark MLlib vs Amp
- Apache Spark MLlib vs Braintrust
- Apache Spark MLlib vs Codacy
- Apache Spark MLlib vs DeepSource
- Apache Spark MLlib vs Devin
- Apache Spark MLlib vs SonarQube Cloud
- Apache Spark MLlib vs Augment Code
- Apache Spark MLlib vs Baseten
- Apache Spark MLlib vs Drizzle ORM
- Apache Spark MLlib vs Flagsmith
- Apache Spark MLlib vs Unleash
- Apache Spark MLlib vs Bun
- Apache Spark MLlib vs Cline
- Apache Spark MLlib vs Factory
- Apache Spark MLlib vs Humanloop
- 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
