Databricks vs Plausible

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Databricks

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411
+ 1
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Plausible

23
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+ 1
5
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Databricks vs Plausible: What are the differences?

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; 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.

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

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- No public GitHub repository available -

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 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.

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What companies use Databricks?
What companies use Plausible?
See which teams inside your own company are using Databricks or Plausible.
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What tools integrate with Databricks?
What tools integrate with Plausible?
    No integrations found

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    What are some alternatives to Databricks and Plausible?
    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