Top H2O AI Cloud 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.
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.
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
14.3
Composite
Score
+91
Emotional
Footprint
16
Reviews
Best Alternatives and Competitors to H2O AI Cloud
Compare how H2O AI Cloud 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.

deepsense.ai
deepsense.ai
65.6
Composite
Score
+99
Emotional
Footprint
13
Reviews
Reviews Say
Compared to H2O AI Cloud, deepsense.ai is:
More Transparent
Easier to Use
More Caring
More Reliable
Better at Support
Harder to Customize
deepsense.ai is a data science company, which helps organizations gain competitive advantage by providing them with AI-based end-to-end solutions, with the main focus on computer vision, predictive analytics and natural language processing. The company also delivers machine learning and deep learning training programs to support enterprises in building AI capabilities in-house.

Microsoft Corporation
Microsoft Azure Machine Learning
51.1
Composite
Score
+93
Emotional
Footprint
52
Reviews
Reviews Say
Compared to H2O AI Cloud, Microsoft Azure Machine Learning is:
Easier to Use
More Transparent
More Reliable
Better at Training
Less Innovative
Less Inspiring
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
48.3
Composite
Score
+93
Emotional
Footprint
27
Reviews
Reviews Say
Compared to H2O AI Cloud, TensorFlow TFX is:
More Caring
Better at Training
More Transparent
Less Innovative
Worse at Support
Worse at Integrating
TFX is an end-to-end platform for deploying production ML pipelines. A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually. When you're ready to move your models from research to production, TFX can be used to create and manage a production pipeline.
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Microsoft Corporation
Microsoft Fabric
48.3
Composite
Score
+99
Emotional
Footprint
17
Reviews
Reviews Say
Compared to H2O AI Cloud, Microsoft Fabric is:
More Transparent
More Caring
More Reliable
Easier to Use
Harder to Customize
Harder to Implement
Microsoft Fabric is a platform that allows users to get, create, share, and visualize data using an array of tools. Give your data teams all the tools they need in a unified experience that helps reduce the cost and effort of data integration, governance, and security.

Amazon
AWS Machine Learning
34.5
Composite
Score
+91
Emotional
Footprint
67
Reviews
Reviews Say
Compared to H2O AI Cloud, AWS Machine Learning is:
More Transparent
Less Innovative
Less Inspiring
Less Caring
Harder to Customize
Worse at Integrating
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.

Databricks
Databricks Data Intelligence Platform
33.8
Composite
Score
+97
Emotional
Footprint
48
Reviews
Reviews Say
Compared to H2O AI Cloud, Databricks Data Intelligence Platform is:
More Transparent
Easier to Use
More Reliable
Better at Training
More Caring
Harder to Customize
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. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.

Eclipse Foundation Inc
Eclipse Deeplearning4j
23.1
Composite
Score
+96
Emotional
Footprint
14
Reviews
Reviews Say
Compared to H2O AI Cloud, Eclipse Deeplearning4j is:
More Transparent
Easier to Customize
More Caring
More Reliable
Worse at Integrating
Harder to Implement
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.

MathWorks
MathWorks MATLAB
22.2
Composite
Score
+88
Emotional
Footprint
81
Reviews
Reviews Say
Compared to H2O AI Cloud, MathWorks MATLAB is:
Less Inspiring
Less Innovative
Less Efficient
Less Respectful
Harder to Implement
Worse at Integrating
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.

Altair Engineering, Inc.
Altair RapidMiner
15.3
Composite
Score
+81
Emotional
Footprint
28
Reviews
Reviews Say
Compared to H2O AI Cloud, Altair RapidMiner is:
Less Innovative
Harder to Customize
Less Transparent
Less Caring
Less Efficient
Less Inspiring
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.

Google Cloud Vertex AI
13.5
Composite
Score
+94
Emotional
Footprint
93
Reviews
Reviews Say
Compared to H2O AI Cloud, Google Cloud Vertex AI is:
More Transparent
More Reliable
More Caring
Less Innovative
Worse at Integrating
Harder to Implement
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.
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