Databricks Alternatives

Databricks is described as 'Provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business' and is an website in the development category. There are more than 25 alternatives to Databricks, not only websites but also apps for a variety of platforms, including Mac, Windows, Linux and SaaS apps. The best Databricks alternative is Jupyter, which is both free and Open Source. Other great sites and apps similar to Databricks are Zasper, Jupyterlab, Talend and Livebook.

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Alternatives list

  1. Spring Cloud Data Flow offers cloud-native microservice-based streaming and batch data processing, ideal for Cloud Foundry and Kubernetes, with flexible programming language support, integration using familiar tools, and powerful design options.

    Cost / License

    Platforms

    • Self-Hosted
    • Kubernetes
    • Docker
     
  2. Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Software as a Service (SaaS)
    • Amazon Web Services
     
  3. Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

    Cost / License

    • Freemium
    • Proprietary

    Platforms

    • Software as a Service (SaaS)
    • Amazon Web Services
     
  4. Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your...

    Cost / License

    • Freemium
    • Proprietary

    Platforms

    • Software as a Service (SaaS)
    • Amazon Web Services
     
  5. ILUM icon
     5 likes

    Ilum is a free data lakehouse platform designed for scalability, flexibility, and simplicity.

    Cost / License

    • Freemium
    • Proprietary

    Platforms

    • Self-Hosted
    • Software as a Service (SaaS)
    • Kubernetes
     
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  6. Nile AI icon
     2 likes

    Data Engineering is needlessly complex today. What if we can abstract away a lot of the tedious parts of this and let companies focus on just the data they want to store, and the questions they have on their data?

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Windows
    • Mac
     
  7. Gigasheet icon
     1 like

    The big data spreadsheet that requires no coding skills.

    Cost / License

    • Freemium
    • Proprietary

    Application type

    Platforms

    • Online
    • Software as a Service (SaaS)
     
  8. A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

    Cost / License

    • Free
    • Open Source

    Platforms

    • Mac
    • Windows
    • Linux
    • Java
     
  9. Palantir Foundry allows you to build apps using data from external databases or apps you create in their platform. Imported or inputted data is stored in the "Ontology" which is a relational/graph/linked database hybrid that allows you to represent and relate data...

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Online
     
  10. KGNN icon
     1 like

    Equitus KGNN is an automated data unification platform that ingests, structures, and contextualizes large volumes of data, without traditional ETL.

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Self-Hosted
     
  11. Timbr icon
     Like

    Timbr is an ontology-based semantic layer used by leading enterprises to make faster, better decisions with AI-ready knowledge. It transforms fragmented structured data into a unified, SQL-queryable knowledge graph that makes relationships, metrics, and business context...

    Cost / License

    • Paid
    • Proprietary

    Platforms

    • Online
    • Software as a Service (SaaS)
     
  12. Apache Beam provides an advanced unified programming model, allowing you to implement batch and streaming data processing jobs that can run on any execution engine.

    Cost / License

    • Free
    • Open Source

    Platforms

    • Linux
     
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