GraphLab Create

What it is

GraphLab Create is a powerful machine learning library that provides various models including regression, clustering, recommender systems, and graph analytics. It operates on top of a disk-backed DataFrame, making it suitable for large-scale data processing.

GraphLab Create stands out with its comprehensive set of machine learning models and graph analytics capabilities, all built on top of a disk-backed DataFrame that supports large-scale data processing.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support, primarily Python-centric

   Official support is only for Python, other languages require community support or bindings

2. 02

   Expensive at scale due to commercial licensing

   Commercial use requires a license purchase which can be costly for large enterprises

3. 03

   Small and less active developer community compared to open-source alternatives

   Less frequent updates, fewer third-party contributions and integrations available

What it does well

• Disk-backed DataFrame for large-scale data processing

• Wide range of machine learning models including regression, clustering, and recommender systems

• Graph analytics capabilities

• Integration with Python ecosystem

Pricing

Free tier

No

Paid from

—

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.