Azure Databricks vs Databricks

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Azure Databricks

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Azure Databricks vs Databricks: What are the differences?

What is Azure Databricks? Fast, easy, and collaborative Apache Spark–based analytics service. Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.

What is Databricks? A unified analytics platform, powered by Apache Spark. Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

Azure Databricks and Databricks can be categorized as "General Analytics" tools.

Some of the features offered by Azure Databricks are:

  • Optimized Apache Spark environment
  • Autoscale and auto terminate
  • Collaborative workspace

On the other hand, Databricks provides the following key features:

  • Built on Apache Spark and optimized for performance
  • Reliable and Performant Data Lakes
  • Interactive Data Science and Collaboration
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Pros of Azure Databricks
Pros of Databricks
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    • 1
      Best Performances on large datasets
    • 1
      True lakehouse architecture
    • 1
      Scalability
    • 1
      Databricks doesn't get access to your data
    • 1
      Usage Based Billing
    • 1
      Security
    • 1
      Data stays in your cloud account
    • 1
      Multicloud

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    What is Azure Databricks?

    Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.

    What is Databricks?

    Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Azure Databricks?
    What companies use Databricks?
    See which teams inside your own company are using Azure Databricks or Databricks.
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    What tools integrate with Azure Databricks?
    What tools integrate with Databricks?

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    What are some alternatives to Azure Databricks and Databricks?
    Azure Machine Learning
    Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
    Azure HDInsight
    It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    Azure Data Factory
    It is a service designed to allow developers to integrate disparate data sources. It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.
    See all alternatives