Azure Databricks vs Fathom Analytics

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Azure Databricks

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Fathom Analytics

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Azure Databricks vs Fathom Analytics: 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 Fathom Analytics? Simple, open source website analytics library. Fathom tracks users on a website (without collecting personal data) and give you a non-nerdy breakdown of your top content and top referrers. It does so with user-centric rights and privacy, and without selling, sharing or giving away the data you collect. It's a simple and easy to use for website owners at any technical level.

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

Fathom Analytics is an open source tool with 5.79K GitHub stars and 235 GitHub forks. Here's a link to Fathom Analytics's open source repository on GitHub.

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Pros of Azure Databricks
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    - No public GitHub repository available -

    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 Fathom Analytics?

    Fathom tracks users on a website (without collecting personal data) and give you a non-nerdy breakdown of your top content and top referrers. It does so with user-centric rights and privacy, and without selling, sharing or giving away the data you collect. It's a simple and easy to use for website owners at any technical level.

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

    Jobs that mention Azure Databricks and Fathom Analytics as a desired skillset
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    What companies use Fathom Analytics?
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    What tools integrate with Azure Databricks?
    What tools integrate with Fathom Analytics?
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      What are some alternatives to Azure Databricks and Fathom Analytics?
      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.
      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.
      See all alternatives