StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Mobile Analytics
  4. Mobile Analytics
  5. Amplitude vs Metabase

Amplitude vs Metabase

OverviewComparisonAlternatives

Overview

Amplitude
Amplitude
Stacks888
Followers701
Votes36
Metabase
Metabase
Stacks928
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K

Amplitude vs Metabase: What are the differences?

Introduction:

In this markdown, I will be discussing the key differences between Amplitude and Metabase, two popular tools used for analytics and data visualization in websites.

  1. Pricing Model: One major difference between Amplitude and Metabase is their pricing model. Amplitude follows a subscription-based pricing model, where users need to pay a fixed fee based on the number of events tracked and the features required. On the other hand, Metabase is an open-source tool that is free to use and doesn't require any upfront payment or subscription.

  2. Data Integration: Amplitude offers seamless integration with various platforms and tools, including popular analytics platforms, data warehouses, and third-party tools. It provides pre-built integrations, SDKs, and APIs to easily connect and automate data flow. In contrast, Metabase has limited data integration capabilities, and users need to manually set up connections and import data from compatible databases.

  3. Visualization Options: Amplitude offers a wide range of visualization options, including charts, dashboards, and custom reports. It provides interactive visualizations with drill-down capabilities to explore data in detail. Metabase, on the other hand, has a simpler set of visualization options, with basic charts and a limited range of customization features.

  4. Machine Learning Capabilities: Amplitude provides built-in machine learning capabilities, such as predictive analytics and user behavior forecasting. It uses advanced algorithms to analyze data and generate insights for improved decision-making. Metabase, on the other hand, lacks native machine learning capabilities and focuses more on data exploration and visualization.

  5. User Access and Permissions: Amplitude offers granular user access controls and permissions. It allows administrators to define roles and assign specific permissions to different user groups, ensuring data security and governance. Metabase, on the other hand, has limited user access and permission controls, making it more suitable for smaller teams or organizations with less complex user management requirements.

  6. Enterprise Features: Amplitude provides a range of enterprise features, such as data governance, compliance, and advanced security options. It is designed to meet the needs of large organizations with stringent data protection and privacy requirements. Metabase, being an open-source tool, lacks some of these enterprise-grade features and may require additional customization or third-party extensions to meet specific requirements.

**In Summary, these are the key differences between Amplitude and Metabase: Amplitude offers a subscription-based pricing model, extensive data integration capabilities, advanced visualization options, built-in machine learning capabilities, granular user access controls, and enterprise-grade features. On the other hand, Metabase is free and open-source, has limited data integration and visualization options, lacks native machine learning capabilities, has basic user access controls, and may require customization for enterprise requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Amplitude
Amplitude
Metabase
Metabase

Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Real-time user analytics, including funnels, retention, flexible user segmentation, and revenue analysis.; Microscope: Explore the user behavior behind any data point. Compare the behavior of engaged vs. churned users.; Growth Discovery Engine: Identify behaviors that are predictive of retention or conversion and drive explosive user growth.; Direct SQL Access via Amazon Redshift: Get access to all of your raw data with zero work on your end.
-
Statistics
GitHub Stars
-
GitHub Stars
44.4K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
888
Stacks
928
Followers
701
Followers
1.2K
Votes
36
Votes
271
Pros & Cons
Pros
  • 11
    Great for product managers
  • 9
    Easy setup
  • 6
    Efficient analysis
  • 2
    Chart edits get their own URLs
  • 2
    Behavioral cohorts
Cons
  • 4
    Super expensive once you're past the free plan
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
Integrations
Looker
Looker
Segment
Segment
Urban Airship
Urban Airship
Amazon Redshift
Amazon Redshift
Mode
Mode
Optimizely
Optimizely
Periscope
Periscope
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Amplitude, Metabase?

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.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

CleverTap

CleverTap

We help over 3500 brands, including Jio, Cleartrip, BookMyShow, Curiosity, McDonalds, Sony, DC Comics, and Denver Broncos understand app behavior, and make their marketing data-driven.

Countly

Countly

Countly is a product analytics solution and innovation enabler that helps organizations track product performance and user journey and behavior across mobile, web, and desktop applications.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope