Top 10 MLlib Alternatives & Competitors

Top 10 Alternatives to MLlib Recently Reviewed By G2 Community

#1

scikit-learn
By scikit-learn
(59)4.8 out of 5
Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
Categories in common with MLlib:
• Machine Learning
Reviewers say compared to MLlib, scikit-learn is:
Better at support
Easier to do business with
Easier to admin
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#2

Phrase Localization Platform
By Phrase
(1,167)4.5 out of 5
Phrase Localization Platform is the translation management system for global companies wanting to improve localization efficiency.
Categories in common with MLlib:
• Machine Learning
Try for free
Reviewers say compared to MLlib, Phrase Localization Platform is:
More expensive
Better at support
Easier to do business with
See all Phrase Localization Platform reviews
#3

SAP HANA Cloud
By SAP
(512)4.3 out of 5
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
Categories in common with MLlib:
• Machine Learning
Reviewers say compared to MLlib, SAP HANA Cloud is:
More expensive
Easier to do business with
Better at support
See all SAP HANA Cloud reviews
#4

Vertex AI
By Google
(512)4.3 out of 5
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
Categories in common with MLlib:
• Machine Learning
Try for free
Reviewers say compared to MLlib, Vertex AI is:
More expensive
Better at support
Easier to do business with
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#5

SAS Viya
By SAS Institute Inc.
(409)4.3 out of 5
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
Categories in common with MLlib:
• Machine Learning
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Reviewers say compared to MLlib, SAS Viya is:
More expensive
Better at support
Easier to do business with
See all SAS Viya reviews
#6

Spotfire
By Cloud Software Group
(355)4.2 out of 5
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
Categories in common with MLlib:
• Machine Learning
Try for free
Reviewers say compared to MLlib, Spotfire is:
More expensive
Easier to do business with
Better at support
See all Spotfire reviews
#7

Weka
By Weka
(13)4.3 out of 5
Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.
Categories in common with MLlib:
• Machine Learning
Reviewers say compared to MLlib, Weka is:
More expensive
Easier to admin
Better at support
See all Weka reviews
#8

Prolific
By Prolific
(205)4.6 out of 5
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
Categories in common with MLlib:
• Machine Learning
Get a quote
Reviewers say compared to MLlib, Prolific is:
More expensive
Easier to do business with
Easier to admin
See all Prolific reviews
#9

Minitab Statistical Software
By Minitab
(182)4.6 out of 5
Minitab Statistical Software is a leading statistical software used for quality improvement and statistics education worldwide.
Categories in common with MLlib:
• Machine Learning
Try for free
Reviewers say compared to MLlib, Minitab Statistical Software is:
More expensive
Better at support
Easier to do business with
See all Minitab Statistical Software reviews
#10

XGBoost
By XGBoost
(13)4.4 out of 5
XGBoost is an optimized distributed gradient boosting library that is efficient, flexible and portable, it implements machine learning algorithms under the Gradient Boosting framework and provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.
Categories in common with MLlib:
• Machine Learning
Reviewers say compared to MLlib, XGBoost is:
Better at meeting requirements
Easier to do business with
Easier to admin
See all XGBoost reviews