Azure Databricks vs Plausible

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Azure Databricks

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Plausible

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Azure Databricks vs Plausible: 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 Plausible? *Simple and privacy-friendly alternative to Google Analytics *. It is a lightweight and open-source website analytics tool. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR.

Azure Databricks and Plausible 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, Plausible provides the following key features:

  • Check website traffic and site analytics in 1 minute
  • Lightweight script which keeps your site speed fast
  • Doesn’t track nor collect any personal data

Plausible is an open source tool with 523 GitHub stars and 26 GitHub forks. Here's a link to Plausible's open source repository on GitHub.

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Pros of Azure Databricks
Pros of Plausible
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    • 4
      Privacy Oriented
    • 4
      Lightweight (<1kB)
    • 2
      Easy to implement

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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 Plausible?

    It is a lightweight and open-source website analytics tool. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR.

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

    Jobs that mention Azure Databricks and Plausible as a desired skillset
    What companies use Azure Databricks?
    What companies use Plausible?
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    What tools integrate with Azure Databricks?
    What tools integrate with Plausible?
      No integrations found

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      What are some alternatives to Azure Databricks and Plausible?
      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