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Top 10 Cloudera Data Engineering Alternatives & Competitors

(22)4.7 out of 5

Cloudera Data Engineering is not the only option for Data Science and Machine Learning Platforms. Explore other competing options and alternatives. Data Science and Machine Learning Platforms is a widely used technology, and many people are seeking high quality, productive software solutions with drag and drop, pre-built algorithms, and model training. Other important factors to consider when researching alternatives to Cloudera Data Engineering include automation and features. The best overall Cloudera Data Engineering alternative is Databricks Data Intelligence Platform. Other similar apps like Cloudera Data Engineering are MATLAB, Alteryx, Vertex AI, and Altair AI Studio. Cloudera Data Engineering alternatives can be found in Data Science and Machine Learning Platforms but may also be in Analytics Platforms or Big Data Processing And Distribution Systems.

Best Paid & Free Alternatives to Cloudera Data Engineering

  • Databricks Data Intelligence Platform
  • MATLAB
  • Alteryx

Top 10 Alternatives to Cloudera Data Engineering Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Cloudera Data Engineering stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Consulting, and Health, Wellness and Fitness, and find the best product for your business.

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    #1
  1. Databricks Data Intelligence Platform

    (608)4.6 out of 5
  2. Making big data simple

    Categories in common with Cloudera Data Engineering:
    #2
  3. MATLAB

    (738)4.5 out of 5
  4. MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Categories in common with Cloudera Data Engineering:
    #3
  5. Alteryx

    (637)4.6 out of 5
  6. Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.

    Categories in common with Cloudera Data Engineering:
    #4
  7. Vertex AI

    (572)4.3 out of 5
  8. Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.

    Categories in common with Cloudera Data Engineering:
    #5
  9. Altair AI Studio

    (505)4.6 out of 5
  10. 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 Cloudera Data Engineering:
    #6
  11. Domo

    (863)4.3 out of 5
  12. Categories in common with Cloudera Data Engineering:
    #7
  13. Snowflake

    (624)4.6 out of 5
  14. Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.

    Categories in common with Cloudera Data Engineering:
    #8
  15. Posit

    (558)4.5 out of 5
  16. 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 Cloudera Data Engineering:
    #9
  17. SAP HANA Cloud

    (517)4.3 out of 5
  18. SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.

    Categories in common with Cloudera Data Engineering:

    Reviewers say compared to Cloudera Data Engineering, SAP HANA Cloud is:

    More expensive
    #10
  19. SAS Viya

    (481)4.3 out of 5
  20. As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

    Categories in common with Cloudera Data Engineering:

    This is how G2 Deals can help you:

    • Easily shop for curated – and trusted – software
    • Own your own software buying journey
    • Discover exclusive deals on software