Top AWS Machine Learning Alternatives and Competitors
Looking to upgrade or change your solution? Take away the guesswork and stay informed with end user feedback to identify and select the solution that best matches your needs.
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.
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
7.9
Composite
Score
+80
Emotional
Footprint
31
Reviews
Best Alternatives and Competitors to AWS Machine Learning
Compare how AWS Machine Learning stacks up to the competition in the areas that matter most to real users to short list options that will best fit your business needs.
MathWorks
MathWorks Matlab
8.7
Composite
Score
+90
Emotional
Footprint
51
Reviews
Reviews Say
Compared to AWS Machine Learning, MathWorks Matlab is:
More Transparent
More Caring
More Inspiring
Better at Training
Easier to Customize
Easier to Use
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming.
Google Cloud Vertex AI
8.6
Composite
Score
+92
Emotional
Footprint
72
Reviews
Reviews Say
Compared to AWS Machine Learning, Google Cloud Vertex AI is:
More Caring
More Inspiring
More Transparent
More Respectful
Better at Training
More Efficient
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.
Databricks
Databricks Data Intelligence Platform
8.5
Composite
Score
+95
Emotional
Footprint
27
Reviews
Reviews Say
Compared to AWS Machine Learning, Databricks Data Intelligence Platform is:
More Caring
More Inspiring
More Transparent
Easier to Use
Better at Training
More Innovative
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
Microsoft Corporation
Microsoft Azure Machine Learning
8.4
Composite
Score
+91
Emotional
Footprint
32
Reviews
Reviews Say
Compared to AWS Machine Learning, Microsoft Azure Machine Learning is:
More Caring
More Transparent
More Inspiring
Better at Training
More Respectful
Easier to Customize
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.
TensorFlow
TensorFlow TFX
8.2
Composite
Score
+97
Emotional
Footprint
13
Reviews
Reviews Say
Compared to AWS Machine Learning, TensorFlow TFX is:
More Caring
More Inspiring
More Innovative
More Efficient
More Transparent
Easier to Customize
TFX is an end-to-end platform for deploying production ML pipelines
Alteryx, Inc.
Alteryx
8.0
Composite
Score
+84
Emotional
Footprint
30
Reviews
Reviews Say
Compared to AWS Machine Learning, Alteryx is:
More Caring
More Inspiring
More Transparent
Easier to Use
Less Respectful
Less Innovative
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.
Dataiku
Dataiku
7.9
Composite
Score
+94
Emotional
Footprint
23
Reviews
Reviews Say
Compared to AWS Machine Learning, Dataiku is:
More Transparent
More Caring
More Inspiring
Easier to Use
More Innovative
Better at Training
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way.
KNIME
KNIME Analytics Platform
7.7
Composite
Score
+86
Emotional
Footprint
19
Reviews
Reviews Say
Compared to AWS Machine Learning, KNIME Analytics Platform is:
More Inspiring
More Caring
More Innovative
Worse at Support
Less Transparent
Less Reliable
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.
DataRobot, Inc.
DataRobot AI Platform
7.6
Composite
Score
+77
Emotional
Footprint
28
Reviews
Reviews Say
Compared to AWS Machine Learning, DataRobot AI Platform is:
Easier to Use
Better at Training
Less Efficient
Less Transparent
Less Reliable
Harder to Customize
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.
H2O.ai
H2O AI Cloud
7.5
Composite
Score
+85
Emotional
Footprint
11
Reviews
Reviews Say
Compared to AWS Machine Learning, H2O AI Cloud is:
More Inspiring
More Caring
More Innovative
Less Reliable
Worse at Integrating
Worse at Support
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.
Altair Engineering, Inc.
Altair Data Analytics & AI
6.6
Composite
Score
+65
Emotional
Footprint
15
Reviews
Reviews Say
Compared to AWS Machine Learning, Altair Data Analytics & AI is:
Less Innovative
Less Reliable
Less Respectful
Worse at Integrating
Harder to Implement
Worse at Support
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.