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  5. Databricks vs Google Analytics

Databricks vs Google Analytics

OverviewComparisonAlternatives

Overview

Google Analytics
Google Analytics
Stacks128.5K
Followers50.7K
Votes5.1K
Databricks
Databricks
Stacks524
Followers768
Votes8

Databricks vs Google Analytics: What are the differences?

### Key Differences between Databricks and Google Analytics

1. **Use Case**: Databricks is primarily a data engineering and data science platform that focuses on scalable data processing, while Google Analytics is a web analytics service that tracks and reports website traffic. Databricks is used for data processing, advanced analytics, and machine learning tasks, while Google Analytics is used for tracking user behavior on websites.

2. **Deployment**: Databricks is typically deployed on cloud platforms like AWS or Azure, providing a unified analytics platform for data engineering, data science, and business intelligence. On the other hand, Google Analytics is a web-based service that relies on placing tracking codes on website pages to collect and analyze data.

3. **Data Sources**: Databricks can connect to a wide variety of data sources including databases, data lakes, and streaming platforms to perform advanced analytics and machine learning tasks. In contrast, Google Analytics mainly relies on web data generated by website visitors to provide insights on user behavior and website performance.

4. **Customization**: Databricks offers extensive customization options for data processing pipelines, machine learning models, and analytics workflows, allowing users to tailor their data workflows according to specific requirements. Google Analytics, while offering some customization features, is primarily focused on providing standardized reports and metrics for website analytics.

5. **Collaboration**: Databricks provides collaborative features that allow multiple users to work on the same projects simultaneously, share code, and collaborate on data analysis tasks. Google Analytics, on the other hand, is more focused on individual users accessing analytics reports and insights for website optimization.

6. **Scalability**: Databricks is designed to handle large-scale data processing tasks and machine learning models, making it suitable for processing massive datasets and running complex analytics workflows. Google Analytics is more suited for small to medium-sized websites and may face limitations when dealing with extremely large amounts of data.

In Summary, Databricks is a scalable data engineering and data science platform deployed on cloud services, while Google Analytics is a web-based service focused on tracking website traffic and user behavior.

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Detailed Comparison

Google Analytics
Google Analytics
Databricks
Databricks

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

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.

Analysis Tools- Google Analytics is built on a powerful, easy to use, reporting platform, so you can decide what data you want to view and customize your reports, with just a few clicks.;Content Analytics- Content reports help you understand which parts of your website are performing well, which pages are most popular so you can create a better experience for your customers.;Social Analytics- The web is a social place and Google Analytics measures success of your social media programs. You can analyze how visitors interact with sharing features on your site (like the Google +1 button) and engage with your content across social platforms.;Mobile Analytics- Google Analytics helps you measure the impact of mobile on your business. Additionally, if you build mobile apps Google Analytics offers Software Development Kits for iOS and Android so you can measure how people use your app.;Conversion Analytics- Find out how many customers you're attracting, how much you're selling and how users are engaging with your site with Google Analytics' range of analysis features.;Advertising Analytics- Make the most of your advertising by learning how well your social, mobile, search and display ads are working. Link your website activity to your marketing campaigns to get the complete picture and improve your advertising performance.
Built on Apache Spark and optimized for performance; Reliable and Performant Data Lakes; Interactive Data Science and Collaboration; Data Pipelines and Workflow Automation; End-to-End Data Security and Compliance; Compatible with Common Tools in the Ecosystem; Unparalled Support by the Leading Committers of Apache Spark
Statistics
Stacks
128.5K
Stacks
524
Followers
50.7K
Followers
768
Votes
5.1K
Votes
8
Pros & Cons
Pros
  • 1483
    Free
  • 927
    Easy setup
  • 891
    Data visualization
  • 698
    Real-time stats
  • 406
    Comprehensive feature set
Cons
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
Pros
  • 1
    True lakehouse architecture
  • 1
    Best Performances on large datasets
  • 1
    Databricks doesn't get access to your data
  • 1
    Usage Based Billing
  • 1
    Security
Integrations
Mad Mimi
Mad Mimi
Hipmob
Hipmob
Visual Website Optimizer
Visual Website Optimizer
Squarespace
Squarespace
ClickTale
ClickTale
CloudFlare
CloudFlare
Segment
Segment
Optimizely
Optimizely
FreshDesk
FreshDesk
SnapEngage
SnapEngage
MLflow
MLflow
Delta Lake
Delta Lake
Kafka
Kafka
Apache Spark
Apache Spark
TensorFlow
TensorFlow
Hadoop
Hadoop
PyTorch
PyTorch
Keras
Keras

What are some alternatives to Google Analytics, Databricks?

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Piwik

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.

Clicky

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Plausible

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.

userTrack

userTrack

userTrack is now called UXWizz. Get access to better insights, a faster dashboard and increase user privacy. It provides detailed visitor insights without relying on third-parties.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Matomo

Matomo

It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.

Maze

Maze

Maze empowers product and marketing teams to test anything from prototypes to copy, or round up user feedback—all in one place. Rapidly collect user insights across teams and create better user experiences, together.

Ackee (Analytics)

Ackee (Analytics)

Self-hosted, Node.js based analytics tool for those who care about privacy. Ackee runs on your own server, analyses the traffic of your websites and provides useful statistics in a minimal interface.

Volument

Volument

Volument is a new take on analytics: it focuses solely on conversion optimization and leaves out everything else. To be launched in 2020, it aims to change the way people measure and optimize their websites.

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