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Databricks Unified Analytics Platform

One platform for accelerating data-driven innovation across data engineering, data science & business analytics.

Databricks Unified Analytics Platform Reviews and details

Screenshots and images

  • Databricks Unified Analytics Platform Landing page
    Landing page //
    2023-07-11

Features & Specs

  1. Scalability

    Databricks is built on Apache Spark, which allows for easy scaling of data processing and analytics operations across large datasets.

  2. Integrated Environment

    Provides a unified analytics platform that combines data engineering, data science, and data warehouse capabilities, simplifying workflows.

  3. Collaborative Workspace

    Enables collaboration between data engineers, data scientists, and analysts with its interactive notebooks and real-time collaboration features.

  4. Lakehouse Architecture

    Combines the best features of data lakes and data warehouses, providing structured transactional data access over unstructured data.

  5. Support for Multiple Languages

    Offers support for multiple programming languages such as Python, R, SQL, and Scala, making it versatile for different users.

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Databricks Unified Analytics Platform and what they use it for.
  • Should I replicate all our transactional DB to Redshift?
    See more here: https://databricks.com/product/data-lakehouse. Source: about 3 years ago

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This is an informative page about Databricks Unified Analytics Platform. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.