Machine Learning · pricing
Apache Spark MLlib pricing
No tier breakdown is published on the record we hold for Apache Spark MLlib. Below is what is on record, and how it compares with the machine learning tools listed alongside it.
As of 30 August 2026, Apache Spark MLlib pricing is free. Figures are the vendor's list prices as recorded on this page's last check; the vendor's site is the final word.
- Entry price
- Free
- Model
- Open-source
- Tiers
- -
- Free tier
- Yes
What is on record
The Apache Spark MLlib catalogue entry carries no price and a open-source pricing model, but no tier breakdown. The category comparison below is still useful, and the Apache Spark MLlib review carries the full feature record.
What the product covers
The full Apache Spark MLlib feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.
Other
- DataFrame-based pipelines
- Distributed algorithms
- Alternating least squares
- Feature transformers
- Model selection
- Pipeline persistence
- Language bindings
- Runs in existing Spark deployments
People bring Apache Spark MLlib in for training on a data set too large to hold on one machine, where sampling down would lose the rare events you care about, feature engineering and model fitting in one job over tables already in the lake, avoiding an extract and a second copy of sensitive data, batch scoring of hundreds of millions of rows on a schedule, where throughput matters and per-request latency does not, organisations that already run and pay for spark, where adding a modelling step is cheaper than introducing a second platform. If that is not the job you are buying for, the alternatives to Apache Spark MLlib are worth a look before you commit to a tier.
How that compares in Machine Learning
Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.
| Tool | Entry price | Model | Rated | Head to head |
|---|---|---|---|---|
| Apache Spark MLlib (this page) | Free | open-source | - | |
| ClearML | Free | Open-source self-hosted, with paid hosted and enterprise tiers | - | vs Apache Spark MLlib |
| Langwatch | Free, then €29/month | Tiered subscription with usage-based overage charges | - | vs Apache Spark MLlib |
| Haystack | Free | Open-source with optional paid enterprise support | - | vs Apache Spark MLlib |
| Semantic Kernel | Free | Open source, no pricing | - | vs Apache Spark MLlib |
| Fal AI | $1.89/hour | usage-based | - | vs Apache Spark MLlib |
| H2O.ai | Free | freemium | - | vs Apache Spark MLlib |
Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the Apache Spark MLlib badges page.
Before you pay for Apache Spark MLlib
Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.
What it can tell you is the shape of the ladder: not published on the record we hold. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.
Apache Spark MLlib runs on linux, macos, windows, and is published by Apache Software Foundation of Wilmington, Delaware. The full record is on the Apache Spark MLlib review, and the rest of the category is under best machine learning tools.
Apache Spark MLlib pricing questions
- How much does Apache Spark MLlib cost?
- No price is published on the record we hold for Apache Spark MLlib, which is listed as open-source. The vendor's own site is the only reliable source for the current figure.
- Does Apache Spark MLlib have a free plan?
- Yes, Apache Spark MLlib is recorded as open-source, so it can be used without paying.
- Which machine learning tools can I use without paying?
- 7 of the 8 machine learning tools listed alongside Apache Spark MLlib have a free tier: ClearML, Langwatch, Haystack, Semantic Kernel, H2O.ai.
- What am I actually paying for with Apache Spark MLlib?
- The record lists 8 features across 1 area: other. In practice it is brought in for training on a data set too large to hold on one machine, where sampling down would lose the rare events you care about, feature engineering and model fitting in one job over tables already in the lake, avoiding an extract and a second copy of sensitive data, batch scoring of hundreds of millions of rows on a schedule, where throughput matters and per-request latency does not.
- Does Apache Spark MLlib charge per user?
- The record carries a price and a billing period, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
- Are these Apache Spark MLlib prices current?
- They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
- What should I compare Apache Spark MLlib against before paying?
- The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Semantic Kernel. Each has a side-by-side comparison with Apache Spark MLlib covering price, platforms and features.