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Databricks vs Piwik

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Databricks
497
752
+ 1
8
Piwik
1.4K
513
+ 1
74
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Databricks vs Piwik: What are the differences?

Developers describe Databricks as "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. On the other hand, Piwik is detailed as "The ultimate open source alternative to Google Analytics". Piwik is a full featured PHP MySQL software program that you download and install on your own webserver. Piwik aims to be a Free software alternative to Google Analytics, and is already used on more than 1,000,000 websites. Privacy is built-in!.

Databricks and Piwik belong to "General Analytics" category of the tech stack.

Some of the features offered by Databricks are:

  • Built on Apache Spark and optimized for performance
  • Reliable and Performant Data Lakes
  • Interactive Data Science and Collaboration

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

  • Real time data updates
  • Customizable Dashboard
  • All Websites Dashboard

Piwik is an open source tool with 11.9K GitHub stars and 1.83K GitHub forks. Here's a link to Piwik's open source repository on GitHub.

According to the StackShare community, Piwik has a broader approval, being mentioned in 948 company stacks & 449 developers stacks; compared to Databricks, which is listed in 7 company stacks and 4 developer stacks.

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Pros of Databricks
Pros of Piwik
  • 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
  • 35
    It's good to have an alternative to google analytics
  • 27
    Self-hosted
  • 10
    Easy setup
  • 2
    Not blocked by Brave
  • 0
    Great customs

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Cons of Databricks
Cons of Piwik
    Be the first to leave a con
    • 2
      Hard to export data

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    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.

    What is Piwik?

    Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

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

    Jobs that mention Databricks and Piwik as a desired skillset
    Staff Software Engineer
    Pinterest
    Toronto, ON, CA
    View Job Details
    DreamAT InternetUbuntu+5
    What companies use Databricks?
    What companies use Piwik?
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    What tools integrate with Databricks?
    What tools integrate with Piwik?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Databricks and Piwik?
    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 Databricks
    Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
    Domino
    Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.
    Confluent
    It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
    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.
    See all alternatives

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