Software · 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 software tools listed alongside it.
- 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.
Core
- Classification
- Regression
- Clustering
- Collaborative filtering
- Feature engineering
Integrations
- Apache Spark
- Hadoop
- Kafka
- Databricks
- AWS EMR
Platform
- Linux support
- Mac support
- Windows support
People bring Apache Spark MLlib in for large-scale distributed machine learning on spark clusters, classification and regression with decision trees, random forests, gradient-boosted trees, clustering with k-means and gaussian mixture models. 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.
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.
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.
- What am I actually paying for with Apache Spark MLlib?
- The record lists 13 features across 3 areas: core, integrations, platform. In practice it is brought in for large-scale distributed machine learning on spark clusters, classification and regression with decision trees, random forests, gradient-boosted trees, clustering with k-means and gaussian mixture models.
- 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?
- Nothing else in this directory is filed close enough to Apache Spark MLlib to make a useful price comparison.