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H2O Driverless AI

H2O Driverless AI Alternatives & Competitors

(2)3.8 out of 5

Looking for alternatives to H2O Driverless AI? Tons of people want Data Science and Machine Learning Platforms. MATLAB, RStudio, RapidMiner, and Qubole are the most popular alternatives and competitors to H2O Driverless AI.

Top Alternatives to H2O Driverless AI

  • MATLAB
  • RStudio
  • RapidMiner
  • Qubole
  • Alteryx

Top 20 Alternatives & Competitors to H2O Driverless AI

    #1
    #1
  1. MATLAB

    (559)4.5 out of 5

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Categories in common with H2O Driverless AI:
  2. MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Categories in common with H2O Driverless AI:

    Yusuf A.
    YA
    AI and deep learning modules which are easy to use.
    #2
    #2
  3. RStudio

    (505)4.5 out of 5

    In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.

    Categories in common with H2O Driverless AI:
  4. In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.

    Categories in common with H2O Driverless AI:

    EI
    Easy to use and scalability support. Best maintenance support.
    18%   of software applications aren't well liked by teams using them.
    Find out how your team feels about your stack with G2 Pulse Surveys.
    Learn More
    #3
    #3
  5. RapidMiner

    (472)4.6 out of 5

    RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.

    Categories in common with H2O Driverless AI:
  6. RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.

    Categories in common with H2O Driverless AI:

    Milad A.
    MA
    Availability of association rules, supervised learning and deep learning algorithms. Time series analysis Covariance Great data visualization and manipulation tools User friendly
    #4
    #4
  7. Qubole

    (257)4.0 out of 5
    Optimized for quick response

    Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with H2O Driverless AI:
  8. Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds

    Categories in common with H2O Driverless AI:

    Sameekshya P.
    SP
    User friendly and understands Big Data Analysis like no other competitor in the market. Data activation drives every decision we make, whether it pertains to products, people, processes, or...Read more
    #5
    #5
  9. Alteryx

    (142)4.5 out of 5

    Alteryx provides Strategic Analytics & Agile BI for companies making strategic business decisions using a variety of data sources. Data artisans unite.

    Categories in common with H2O Driverless AI:
  10. Alteryx provides Strategic Analytics & Agile BI for companies making strategic business decisions using a variety of data sources. Data artisans unite.

    Categories in common with H2O Driverless AI:

    CA
    Alteryx’s data connectors expand the reach of search & AI-driven analytics.Deliver repeatable workflows for self-service analytics of large, complex data.Boost productivity to improve business...Read more
    #6
    #6
  11. IBM SPSS Modeler

    (129)3.9 out of 5
    Optimized for quick response

    IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise.

    Categories in common with H2O Driverless AI:
  12. IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise.

    Categories in common with H2O Driverless AI:

    UU
    Deep AI integration Charts Text Analytics Ease to use with Elastic Search
    #7
    #7
  13. IBM Watson Studio

    (85)4.1 out of 5
    Optimized for quick response

    IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. IBM Watson Studio" webpage can be found at https://www.ibm.com/cloud/watson-studio and the desktop version at https://www.ibm.com/products/watson-studio-desktop and the premium version at https://www.ibm.com/cloud/watson-studio/premium

    Categories in common with H2O Driverless AI:
  14. IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. IBM Watson Studio" webpage can be found at https://www.ibm.com/cloud/watson-studio and the desktop version at https://www.ibm.com/products/watson-studio-desktop and the premium version at https://www.ibm.com/cloud/watson-studio/premium

    Categories in common with H2O Driverless AI:

    Nagamruta M.
    NM
    The interface and simple usability, inbuilt models
    #8
    #8
  15. Google Cloud AI Platform

    (82)4.3 out of 5

    Google Cloud AI Platform is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

    Categories in common with H2O Driverless AI:
  16. Google Cloud AI Platform is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

    Categories in common with H2O Driverless AI:

    Udit M.
    UM
    Easy to use interface and easy to understand platform. The user interface is as easy as any beginner can use the platform with ease.
    #9
    #9
  17. IBM Watson Machine Learning

    (51)4.1 out of 5

    Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence.

    Categories in common with H2O Driverless AI:
  18. Use your own data to create, train, and deploy machine learning and deep learning models. Leverage an automated, collaborative workflow to grow intelligent business applications easily and with more confidence.

    Categories in common with H2O Driverless AI:

    GB
    Would like to expand my knowledge and information on this. Think there are opportunities to use this in my business case to streamline daily tasks.
    #10
    #10
  19. TensorFlow

    (44)4.5 out of 5

    TensorFlow is an open source software library for numerical computation using data flow graphs.

    Categories in common with H2O Driverless AI:
  20. TensorFlow is an open source software library for numerical computation using data flow graphs.

    Categories in common with H2O Driverless AI:

    Aanu B.
    AB
    - It is easy to use (for adept users) - It is more often used for research, this gives TensorFlow regular support and updates. - It is the back-end for one of the easiest frameworks (Keras)
    #11
    #11
  21. Azure Machine Learning Studio

    (47)4.2 out of 5

    Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    Categories in common with H2O Driverless AI:
  22. Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    Categories in common with H2O Driverless AI:

    Reza N.
    RN
    Ease of use, the tooling and other MS libs that complement it
    #12
    #12
  23. KNIME Analytics Platform

    (37)4.4 out of 5

    KNIME® is an open source data analytics, reporting and integration platform.

    Categories in common with H2O Driverless AI:
  24. KNIME® is an open source data analytics, reporting and integration platform.

    Categories in common with H2O Driverless AI:

    Jonathan G.
    JG
    When we had to go through data sources with tons of data, transforming the raw data for analysis was always the hardest part. With KNIME, this process can be automated, while the data acquisition...Read more
    #13
    #13
  25. TIBCO Data Science

    (40)3.8 out of 5
    Optimized for quick response

    Accelerate ROI from your data science initiatives with a collaborative analytic workflow builder that lets you transform data into insight within Hadoop and other big data environments. Unlock your data's hidden potential and increase the value of your big data infrastructure.

    Categories in common with H2O Driverless AI:
  26. Accelerate ROI from your data science initiatives with a collaborative analytic workflow builder that lets you transform data into insight within Hadoop and other big data environments. Unlock your data's hidden potential and increase the value of your big data infrastructure.

    Categories in common with H2O Driverless AI:

    EE
    Good workflow within the software. Easy implementation & deployment
    #14
    #14
  27. IBM Cloud Pak for Data

    (40)4.3 out of 5
    Optimized for quick response

    Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.

    Categories in common with H2O Driverless AI:
  28. Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.

    Categories in common with H2O Driverless AI:

    Miguel L.
    ML
    I really love auto ai and jupyter lab and machine learning
    #15
    #15
  29. Anaconda Enterprise

    (33)4.5 out of 5

    Anaconda Enterprise helps organizations harness data science, machine learning, and AI at the pace demanded by today's digital interactions. Anaconda Enterprise combines core AI technologies, governance, and cloud-native architecture. Each piece—core AI, governance, and cloud nativere critical components to enabling organizations to automate AI at speed and scale.

    Categories in common with H2O Driverless AI:
  30. Anaconda Enterprise helps organizations harness data science, machine learning, and AI at the pace demanded by today's digital interactions. Anaconda Enterprise combines core AI technologies, governance, and cloud-native architecture. Each piece—core AI, governance, and cloud nativere critical components to enabling organizations to automate AI at speed and scale.

    Categories in common with H2O Driverless AI:

    hemant J.
    HJ
    It have faster speed for python programming than any other software and python is best language to represent the data science project. It's use for all AI application , machine learning ,large data...Read more
    #16
    #16
  31. TIMi Suite

    (31)4.9 out of 5

    The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with H2O Driverless AI:
  32. The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!

    Categories in common with H2O Driverless AI:

    CZ
    la facilidad de manejo de los datos y la velocidad de procesamiento de los mismos.
    #17
    #17
  33. Dash

    (30)4.8 out of 5

    Dash is the trusted solution for operationalizing Python and R models and is the fastest way to build interactive analytic apps. Dash empowers data science teams to focus on the data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash.

    Categories in common with H2O Driverless AI:
  34. Dash is the trusted solution for operationalizing Python and R models and is the fastest way to build interactive analytic apps. Dash empowers data science teams to focus on the data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash.

    Categories in common with H2O Driverless AI:

    Sabir M.
    SM
    Python integration is perfect as all of out products are based on python.
    #18
    #18
  35. IBM Decision Optimization

    (29)4.5 out of 5

    Solve planning and scheduling problems using optimization modeling tools and powerful CPLEX Optimizer and CP Optimizer solvers to make better business decisions

    Categories in common with H2O Driverless AI:
  36. Solve planning and scheduling problems using optimization modeling tools and powerful CPLEX Optimizer and CP Optimizer solvers to make better business decisions

    Categories in common with H2O Driverless AI:

    UU
    Innovation in new technologies in block-chain and Artificial intelligence
    #19
    #19
  37. Dataiku DSS

    (27)4.2 out of 5

    Dataiku is the a productive development platform for data professionals. This all-in-one tool integrates all the capabilities required to build end-to-end highly specific services that turn raw data into business impacting predictions quickly.

    Categories in common with H2O Driverless AI:
  38. Dataiku is the a productive development platform for data professionals. This all-in-one tool integrates all the capabilities required to build end-to-end highly specific services that turn raw data into business impacting predictions quickly.

    Categories in common with H2O Driverless AI:

    UI
    1.Dataiku is one place tool where we can do work with data like Data Preparation Data Exploration ...Read more
    #20
    #20
  39. Kraken

    (25)4.7 out of 5
    Optimized for quick response

    Big Squid is a predictive analytics software company that specializes in data solutions utilizing business intelligence, data sciences and predictive analytics.

    Categories in common with H2O Driverless AI:
  40. Big Squid is a predictive analytics software company that specializes in data solutions utilizing business intelligence, data sciences and predictive analytics.

    Categories in common with H2O Driverless AI:

    GL
    Ease of use for AI analysis. Ability to plug in data and a model will be created in minutes. Cleaning the data helps with the accuracy. It does automatically clean the data also.