Software Alternatives, Accelerators & Startups

Plausible.io VS Databricks

Compare Plausible.io VS Databricks and see what are their differences

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Plausible.io logo Plausible.io

Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Plausible.io Landing page
    Landing page //
    2020-07-07

Plausible Analytics is not designed to be a clone of Google Analytics. It is meant as a simple-to-use replacement and a privacy-friendly alternative that can help many site owners.

  • It's quick, simple to use and understand with all the metrics displayed on one page. Doesn't track hundreds of metrics like Google Analytics does

  • Lightweight script of less than 1 KB so sites load fast. The script is 45 times smaller script than the Google Analytics one

  • Doesn't use cookies so there's no need to worry about cookie banners

  • Doesn't track personal data so it's compliant with GDPR out of the box and you don't need to worry about asking for data consent

  • It's open source with the code available on GitHub so you can even self host exactly the same product free as in beer

  • Unlike Google Analytics, the cloud product is not free as in beer because the business model is subscriptions rather than selling the data of your visitors. Plausible Analytics is bootstrapped without any external funding so the subscription fees help cover the costs and time spent on development.

  • Databricks Landing page
    Landing page //
    2023-09-14

Plausible.io

$ Details
paid Free Trial $9.0 / Monthly (10,000 pageviews)
Platforms
Web Browser Google Chrome Firefox Safari Wordpress
Release Date
2019 April

Plausible.io features and specs

  • Privacy-focused
    Plausible does not collect personal data about your visitors and is fully compliant with GDPR, CCPA, and PECR.
  • Simple to Use
    The user interface is intuitive and easy to navigate, making it accessible for users without technical expertise.
  • Lightweight
    Plausible's script is under 1 KB in size, making it fast to load and reducing the impact on site speed.
  • Open-Source
    The platform is open-source, which allows for community contributions and transparency in how data is handled.
  • Real-Time Data
    Plausible provides real-time analytics, which can be useful for monitoring live events and activities on your site.
  • Affordable Pricing
    Offers competitive pricing models that can be more budget-friendly for small to medium-sized businesses compared to other analytics platforms.

Possible disadvantages of Plausible.io

  • Limited Features
    Lacks some advanced features found in more comprehensive analytics tools like Google Analytics, such as multi-channel funnels and detailed demographic information.
  • No Free Tier
    Plausible does not offer a free tier, which could be an obstacle for very small websites or individual users on a tight budget.
  • Basic Reporting
    The reporting may be too basic for larger enterprises that require more granular and customizable analytics.
  • No App Integration
    Currently, Plausible does not offer integrations with mobile app analytics, limiting its use to web applications.
  • Smaller User Base
    As a relatively new and smaller player in the market, it may not have the extensive user community or third-party support seen with more established platforms.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Plausible.io videos

Cardano Blackboard Series #5: What is plausible deniability?

More videos:

  • Review - How Plausible is the Balkanized America from Crimson Skies? (A Map Analysis)
  • Review - Movie Review - How Plausible is The Martian?

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Plausible.io and Databricks)
Analytics
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Analytics
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using Plausible.io and Databricks. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plausible.io and Databricks

Plausible.io Reviews

  1. Happy Paying User :)

    I've been using plausible since Sep 2019 and never had any doubts about it. It provides me with everything I need related to visitor stats while keeping privacy in first place.

    It doesn't slow down my website loading speed (it's amazing, it's less than 1KB in size!), is not blocked by adblockers since it's not really a tracker tracker, and owners are super cool and they actually respond to every inquiry you could possibly have.

    If you're looking for de-googling your stuff, you can start with Plausible :)

    🏁 Competitors: Google Analytics, Matomo, Woopra
    👍 Pros:    Loading speed|Clean ui|Privacy concisous|Custom domain|Affordable prices|Easy integration|Super simple
  2. Makis
    · Senior Software Engineer ·
    Plausibly simple analytics!

    I tried several analytics tools prior to Plausible, namely Google Analytics and later on Matomo. I found both to be fairly complicated for my usage which is a personal blog. Complicated in the way I had to install and use them. Plausible's simple to set up approach combined with a very clean and inviting user interface was a breath of fresh air. It's simple and clean enough that it actually makes me want to check and analyse my traffic which is a feeling I never thought I'd have having tried alternatives.

  3. Cesar Reyes
    · CEO at Reyes.Pro ·
    Excellent alternative to google analytics

    It offers clear information about what I really need, without distractions, without advertising and does not slow my site.

    🏁 Competitors: Google Analytics

Top 5 Plausible Analytics Alternatives in 2024
Looking for an excellent Plausible Analytics alternative? Read on as in this blog we will be exploring the best Plausible alternatives in 2024.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Plausible is an analytics platform focused on delivering clear insights into website traffic. By offering essential metrics like page views and referral sources, Plausible aids businesses in making informed decisions to optimize their online presence.
Source: usermaven.com
Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Use Case Example: An educational blog opts for Plausible to track user engagement metrics without impacting site performance or user privacy.
Source: zeabur.com
Top 5 open source alternatives to Google Analytics
Plausible is a newer kid on the open source analytics tools block. It’s lean, it’s fast, and only collects a small amount of information — that includes numbers of unique visitors and the top pages they visited, the number of page views, the bounce rate, and referrers. Plausible is simple and very focused.
Source: opensource.com
Privacy-oriented alternatives to Google Analytics
I learned about Plausible just recently, but they deserve to be on top of this list for me. Their platform is completely Open Source on GitHub under the MIT license. I personally also like that it’s written in Elixir.

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Plausible.io seems to be a lot more popular than Databricks. While we know about 200 links to Plausible.io, we've tracked only 18 mentions of Databricks. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Plausible.io mentions (200)

  • 10 of the Best Web Analytics Tools for React Websites
    Plausible is a privacy-focused website analytics tool that provides simple, actionable insights into website traffic and visitor behavior. It prioritizes data privacy by offering transparent analytics without cookies, tracking scripts, or personal data collection. - Source: dev.to / about 2 months ago
  • Top 10 European Open-Source Projects to Watch in 2025
    Perfect for companies running under tight EU privacy regulations. Find more: Plausible analytics. - Source: dev.to / about 2 months ago
  • Meet Marko Saric, Co-founder of Privacy-friendly Plausible Analytics
    In this interview, Marko Saric shared his thoughts on privacy and running a bootstrapped SaaS business. Plausible integration is already available in Open SaaS as a privacy-friendly alternative to Google Analytics. We hope this interview helps you understand the value of such a product, and the nature of running an open source business. - Source: dev.to / 2 months ago
  • 5 Side Project Ideas for Developers to Monetize as Micro-SaaS in 2025
    Plausible Analytics (https://plausible.io/) is a lightweight, privacy-focused analytics tool that’s designed to be simple and easy to use. Unlike Google Analytics, Plausible gives you just the metrics you need—without the bloat. - Source: dev.to / 2 months ago
  • Umami is a simple, fast, privacy-focused alternative to Google Analytics
    It is not entirely clear who wrote these descriptions. Maybe it was not the vendor. At least their website https://plausible.io/ has a much better wording. > No need for cookie banners or GDPR consent. - Source: Hacker News / 3 months ago
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 7 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing Plausible.io and Databricks, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Fathom Analytics - Simple, trustworthy website analytics (finally)

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Matomo - Matomo is an open-source web analytics platform

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.