Machine Learning Platforms (ML) Platform

Machine Learning Platforms

What is Machine Learning Platforms Platform?

A comprehensive collection of tools, libraries and resources that allows data scientists and machine learning engineers to build and deploy Machine Learning (ML) powered business applications. ML tools automate the delivery life-cycle of predictive applications capable of processing big data using machine learning algorithms.

Common Features

  • Data Ingestion
  • Data Pre-Processing
  • Feature Engineering
  • Algorithm Diversity
  • Model Training
  • Model Tuning
  • Model Monitoring and Management
  • Performance and Scalability
  • Ensembling
  • Openness and Flexibility
  • Explainability
  • Data Exploration and Visualization
  • Pre-Packaged AI/ML Services
  • Data Labeling
  • Algorithm Recommendation

Top Machine Learning Platforms (ML) Platform

2025 Data Quadrant Awards

2024 Emotional Footprint Awards

At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Data Quadrant Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards highlight software products that excel in terms of features, vendor capabilities, and customer relationships, earning them the highest overall rankings.

At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Emotional Footprint Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards shine a spotlight on software vendors who excel in crafting and nurturing strong customer relationships.

Switch to Emotional Footprint
Products: 12
Next Award: May 2025

Top Machine Learning Platforms Platform 2025

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

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Composite Score
7.7 /10
CX Score
7.9 /10

KNIME offers a complete platform for end-to-end data science, from creating analytical models, to deploying them and sharing insights within the organization, through to data apps and services. The free and open source KNIME Analytics Platform allows users to easily build analyses with an intuitive, low-code/no-code interface. KNIME Business Hub enables users across different disciplines to collaborate and productionize analytical solutions created using KNIME Analytics Platform.

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Pros

  • Inspires Innovation
  • Helps Innovate
  • Continually Improving Product
  • Trustworthy
Dataiku

Dataiku

Composite Score
7.7 /10
CX Score
7.9 /10

Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way. With Dataiku, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.

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Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing
Badge Winner
Badge Winner
Alteryx

Alteryx

Composite Score
7.4 /10
CX Score
7.5 /10

Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics. With Alteryx Machine Learning’s automated insight generation, you’ll quickly uncover hidden signals and key relationships in your data.

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Pros

  • Enables Productivity
  • Reliable
  • Saves Time
  • Acts with Integrity
Badge Winner
Composite Score
7.4 /10
CX Score
7.8 /10

H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.

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Pros

  • Helps Innovate
  • Continually Improving Product
  • Inspires Innovation
  • Efficient Service
Altair Engineering, Inc.

Altair RapidMiner

Composite Score
7.2 /10
CX Score
7.3 /10

Regardless of where your organization is on its data journey, Altair RapidMiner can help overcome the most challenging obstacles in your way. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals without changing who you are or what you have.

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Pros

  • Respectful
  • Inspires Innovation
  • Reliable
  • Performance Enhancing
Altair Engineering, Inc.

Altair Data Analytics & AI

Composite Score
7.0 /10
CX Score
7.2 /10

Altair Data Analytics enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.

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Pros

  • Performance Enhancing
  • Efficient Service
  • Acts with Integrity
  • Includes Product Enhancements

Products below are ineligible for awards due to insufficient recent reviews

Composite Score
8.0 /10
CX Score
8.4 /10

Bringing together widely adopted AWS machine learning (ML) and analytics capabilities, Amazon SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. Collaborate and build faster from a unified studio (preview) using familiar AWS tools for model development, generative AI, data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable generative AI assistant for software development.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing
Apache Software Foundation

Apache SINGA

Composite Score
7.8 /10
CX Score
7.8 /10

Apache SINGA is an Apache top-level project for developing an open source machine learning library. It provides a flexible architecture for scalable distributed training, is extensible to run over a wide range of hardware, and has a focus on health-care applications.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing
Apache Software Foundation

Apache MADlib

Composite Score
7.6 /10
CX Score
7.8 /10

Apache MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical, graph and machine learning methods for structured and unstructured data.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing
OpenText Corporation

OpenText Magellan

Composite Score
7.3 /10
CX Score
7.5 /10

Watch as a combination of machine learning and AI data analysis comes to life with OpenText's Magellan solution. This all-in-one composite AI for analytics platform helps users gain knowledge from unstructured content and deep-dive into massive amounts of data with self-service and AP-powered insights, all helping your organization increase efficiency and reduce costs. OpenText Magellan is the product your company needs.

Pros

  • Helps Innovate
  • Reliable
  • Performance Enhancing
  • Enables Productivity

Cons

  • Vendor Friendly Policies
  • Vendor's Interest First