Data Quadrant Awards 2023
Machine Learning Platforms
SoftwareReviews names MathWorks Matlab, Microsoft Azure Machine Learning, Databricks Lakehouse Platform, Google Cloud Vertex AI, and Dataiku as Machine Learning Platforms Data Quadrant Award Winners.
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Machine Learning Platforms
Data Quadrant
Data Quadrants are proudly founded in 100% user review data and are free of traditional "magical" components such as market presence and analyst opinion, which are opaque in nature and may be influenced by vendor pressure, financial or otherwise.
The SoftwareReviews Data Quadrant evaluates and ranks products based on feedback from IT and business professionals. The placement of a software in the Data Quadrant indicates its relative ranking as well as its categorization.
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A thorough evaluation and ranking of all software in an individual category to compare software across every dimension.
- user satisfaction rankings
- |
- vendor capability comparisons
- |
- business value scores
- |
- individual feature evaluations
- |
- emotional connection to products
30+ pages
Note Software product placement is based on the scores provided by users, recency of the reviews, and review volume. Axes are dynamically adjusted based on the minimum and maximum values in the data set.
Evaluate the Complete
Software Experience
When distilled down, the software experience is shaped by both the experience with the software and the relationship with the vendor. Evaluating enterprise software along these two dimensions provides a comprehensive understanding of the product and helps identify vendors that can deliver on both.
Product Features and Satisfaction
The satisfaction is captured in the overall satisfaction score, which is driven by the likelihood of users to recommend the software, combined with user satisfaction across top product features.
Vendor Experience and Capabilities
The vendor relationship is calculated in a weighted average of the satisfaction scores tied to vendor capabilities (e.g. software implementation, training, customer support, product roadmap) as well as emotional response ratings toward the vendor (e.g. trustworthy, respectful, fair).
Gold Medalists
MathWorks
MathWorks Matlab
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming.
8.6
Composite
Score
Composite
Score
+90
Emotional
Footprint
Emotional
Footprint
91%
Likeliness to
Recommend
Likeliness
to Recommend
Microsoft Corporation
Microsoft Azure Machine Learning
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
8.6
Composite
Score
Composite
Score
+93
Emotional
Footprint
Emotional
Footprint
86%
Likeliness to
Recommend
Likeliness
to Recommend
Databricks
Databricks Lakehouse Platform
The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.
8.6
Composite
Score
Composite
Score
+93
Emotional
Footprint
Emotional
Footprint
89%
Likeliness to
Recommend
Likeliness
to Recommend
Google Cloud Vertex AI
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
8.5
Composite
Score
Composite
Score
+89
Emotional
Footprint
Emotional
Footprint
90%
Likeliness to
Recommend
Likeliness
to Recommend
Dataiku
Dataiku
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.
8.5
Composite
Score
Composite
Score
+93
Emotional
Footprint
Emotional
Footprint
87%
Likeliness to
Recommend
Likeliness
to Recommend
Vendor Capability Awards
Availability and Quality of Training
MathWorks Matlab
Breadth of Features
MathWorks Matlab
Business Value Created
Microsoft Azure Machine Learning
Ease of Customization
Microsoft Azure Machine Learning
Ease of Data Integration
Databricks Lakehouse Platform
Ease of IT Administration
DataRobot AI Cloud
Ease of Implementation
Google Cloud Vertex AI
Product Strategy and Rate of Improvement
H2O AI Cloud
Quality of Features
MathWorks Matlab
Usability and Intuitiveness
Dataiku
Vendor Support
DataRobot AI Cloud
Vendor Capability Awards
Availability and Quality of Training
MathWorks Matlab
Breadth of Features
MathWorks Matlab
Business Value Created
Microsoft Azure Machine Learning
Ease of Customization
Microsoft Azure Machine Learning
Ease of Data Integration
Databricks Lakehouse Platform
Ease of IT Administration
DataRobot AI Cloud
Ease of Implementation
Google Cloud Vertex AI
Product Strategy and Rate of Improvement
H2O AI Cloud
Quality of Features
MathWorks Matlab
Usability and Intuitiveness
Dataiku
Vendor Support
DataRobot AI Cloud
Other Evaluated Vendors
DataRobot, Inc.
DataRobot AI Cloud
The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.
8.3
Composite
Score
Composite
Score
+81
Emotional
Footprint
Emotional
Footprint
89%
Likeliness to
Recommend
Likeliness
to Recommend
KNIME
KNIME Analytics Platform
At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. One enterprise-grade software platform, two complementary tools. Open source KNIME Analytics Platform for creating data science and commercial KNIME Server for productionizing data science.
8.2
Composite
Score
Composite
Score
+85
Emotional
Footprint
Emotional
Footprint
87%
Likeliness to
Recommend
Likeliness
to Recommend
Altair Engineering, Inc.
Altair RapidMiner Studio
Built for analytics teams, Altair RapidMiner Studio unifies the entire data science lifecycle from data prep to machine learning to predictive model operations.
8.0
Composite
Score
Composite
Score
+82
Emotional
Footprint
Emotional
Footprint
83%
Likeliness to
Recommend
Likeliness
to Recommend
Alteryx, Inc.
Alteryx
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.
8.0
Composite
Score
Composite
Score
+82
Emotional
Footprint
Emotional
Footprint
83%
Likeliness to
Recommend
Likeliness
to Recommend
H2O.ai
H2O AI Cloud
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.
7.9
Composite
Score
Composite
Score
+81
Emotional
Footprint
Emotional
Footprint
80%
Likeliness to
Recommend
Likeliness
to Recommend
Amazon
AWS Machine Learning
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
7.6
Composite
Score
Composite
Score
+74
Emotional
Footprint
Emotional
Footprint
84%
Likeliness to
Recommend
Likeliness
to Recommend
Altair Engineering, Inc.
Altair Data Analytics & AI
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.
6.8
Composite
Score
Composite
Score
+62
Emotional
Footprint
Emotional
Footprint
73%
Likeliness to
Recommend
Likeliness
to Recommend
For the full list of vendors in this space, click here.
About Gold Medal Awards and Software Reports
SoftwareReviews Gold Medal Awards recognize outstanding vendors in the technology marketplace as evaluated by their users. Gold Medals are the capstone of an in-depth software evaluation report, and awarded using a proprietary, transparent methodology based on a composite satisfaction score that averages four different areas of evaluation: Net Emotional Footprint, Vendor Capabilities, Product Features, and Likeliness to Recommend. The Net Emotional Footprint Score measures user emotional response ratings of the vendor (e.g. trustworthy, respectful, fair).
Software Reports present comprehensive evaluations of software vendors on the above elements. Software buyers can use this data to make more informed, data-driven software purchasing and renewal decisions.
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