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  5. Autotrack vs Databricks

Autotrack vs Databricks

OverviewComparisonAlternatives

Overview

Autotrack
Autotrack
Stacks86
Followers121
Votes0
GitHub Stars4.9K
Forks558
Databricks
Databricks
Stacks524
Followers768
Votes8

Autotrack vs Databricks: What are the differences?

Autotrack: Open source lib for automatic and enhanced Google Analytics tracking for common user interactions on the web (by Google). It provides default tracking for the interactions most people care about, and it provides several convenience features (e.g. declarative event tracking) to make it easier than ever to understand how people are interacting with your site; 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.

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

Autotrack is an open source tool with 4.49K GitHub stars and 488 GitHub forks. Here's a link to Autotrack's open source repository on GitHub.

According to the StackShare community, Autotrack has a broader approval, being mentioned in 4 company stacks & 48 developers stacks; compared to Databricks, which is listed in 7 company stacks and 4 developer stacks.

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Detailed Comparison

Autotrack
Autotrack
Databricks
Databricks

It provides default tracking for the interactions most people care about, and it provides several convenience features (e.g. declarative event tracking) to make it easier than ever to understand how people are interacting with your site.

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.

-
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
GitHub Stars
4.9K
GitHub Stars
-
GitHub Forks
558
GitHub Forks
-
Stacks
86
Stacks
524
Followers
121
Followers
768
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 1
    Best Performances on large datasets
  • 1
    Multicloud
  • 1
    Data stays in your cloud account
  • 1
    Security
  • 1
    Usage Based Billing
Integrations
Google Analytics
Google Analytics
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 Autotrack, Databricks?

Google Analytics

Google Analytics

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

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.

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