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  5. Amplitude vs Mode vs Segment

Amplitude vs Mode vs Segment

OverviewDecisionsComparisonAlternatives

Overview

Segment
Segment
Stacks3.3K
Followers941
Votes275
Amplitude
Amplitude
Stacks888
Followers701
Votes36
Mode
Mode
Stacks125
Followers227
Votes17

Amplitude vs Mode vs Segment: What are the differences?

Introduction:

Amplitude, Mode, and Segment are three different tools used for data analysis and tracking. Each tool has its own unique features and capabilities that set them apart from each other. In this Markdown code, we will focus on the key differences between Amplitude, Mode, and Segment, providing specific details without any generic or declarative sentences.

1. Amplitude vs. Mode:

Amplitude is primarily focused on mobile and web analytics, offering insights into user behavior and engagement. It helps businesses understand how users interact with their products, providing features such as event tracking, funnel analysis, and cohort analysis. On the other hand, Mode is a comprehensive data analysis platform that allows users to analyze and visualize data from multiple sources, including databases, spreadsheets, and web services. It focuses on empowering data analysts and provides advanced capabilities like SQL querying, statistical modeling, and interactive reports.

2. Amplitude vs. Segment:

Amplitude is an analytics platform that collects, analyzes, and visualizes user data, helping businesses gain insights into their customer behavior and make data-driven decisions. It provides features like event tracking, user segmentation, and A/B testing. In contrast, Segment is a customer data platform that acts as a data pipeline, allowing businesses to collect, unify, and send their customer data across various tools and platforms. It helps companies in building a unified customer profile and enabling data synchronization between different systems.

3. Mode vs. Segment:

Mode is a powerful data analysis platform that focuses on empowering data analysts with the necessary tools to explore, analyze, and visualize data. It allows users to write SQL queries, create statistical models, build interactive dashboards, and collaborate with teams. In comparison, Segment acts as a data infrastructure tool, enabling businesses to collect and integrate their customer data into various services and systems. It helps companies in centralizing their data collection efforts and ensuring data consistency across different platforms.

4. Amplitude:

Amplitude provides a user-centric approach to analytics, focusing on tracking and understanding user behavior within mobile and web applications. It offers features like event tracking, user cohorts, retention analysis, and behavioral segmentation. With Amplitude, businesses gain valuable insights into how users navigate through their products, enabling them to optimize user experiences and drive growth.

5. Mode:

Mode is a comprehensive data analysis platform that provides data analysts with a powerful SQL editor, interactive visualizations, and collaboration capabilities. It allows users to explore and analyze data from various sources, perform statistical modeling, and build interactive dashboards. With Mode, data analysts can efficiently extract insights from data, share findings with stakeholders, and drive data-driven decision-making within their organizations.

6. Segment:

Segment acts as a customer data infrastructure tool, enabling companies to collect, unify, and send their customer data across different systems and platforms. It provides a centralized platform for managing customer data, allowing businesses to build a unified customer profile, personalize experiences, and enable data synchronization between different tools and services. Segment simplifies the process of data integration, ensuring that businesses have accurate and consistent customer data for their analytics and marketing efforts.

In Summary, Amplitude, Mode, and Segment are three distinct tools: Amplitude focuses on mobile and web analytics, providing insights into user behavior; Mode empowers data analysts with SQL querying and statistical modeling capabilities; and Segment acts as a customer data infrastructure tool, enabling data collection and synchronization across various platforms.

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Advice on Segment, Amplitude, Mode

Ben
Ben

Chief Product Officer at goLance

Aug 22, 2020

Needs advice

I am trying to decide on a solution to better track our user data. We need to track which google ads are leading to signups, and which signups are performing various actions on the site. We then need to visualize this data in various ways. We also need to run A/B tests on features and content, to track which ones lead to the most paid conversions.

106k views106k
Comments
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k
Comments

Detailed Comparison

Segment
Segment
Amplitude
Amplitude
Mode
Mode

Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

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.

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.

A single API to integrate third-party tools; Data replay that backfills new tools with historical data; SQL support to automatically transform and load behavioral data into Amazon Redshift; More than 120 tools on the platform; One-click to install plugins for WordPress, Magento and WooCommerce; Mobile, web and server-side libraries
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.
Write, save, and share SQL queries with other analysts in your company; Empower non-technical folks to update queries on their own; Run queries on a schedule, create lists of related reports, and explore a project's history as it changes over time; Build reports using standard charting or create completely customer, interactive visuals with HTML, CSS, and Javascript;Database connectors for MySQL, Postgres, Redshift, Vertica, Hive, Heroku, Segment, BigQuery, Impala; Mode also offers SQL School (sqlschool.modeanalytics.com), a free, interactive SQL tutorial and the Mode Playbook.
Statistics
Stacks
3.3K
Stacks
888
Stacks
125
Followers
941
Followers
701
Followers
227
Votes
275
Votes
36
Votes
17
Pros & Cons
Pros
  • 86
    Easy to scale and maintain 3rd party services
  • 49
    One API
  • 39
    Simple
  • 25
    Multiple integrations
  • 19
    Cleanest API
Cons
  • 2
    Not clear which events/options are integration-specific
  • 1
    Limitations with integration-specific configurations
  • 1
    Client-side events are separated from server-side
Pros
  • 11
    Great for product managers
  • 9
    Easy setup
  • 6
    Efficient analysis
  • 2
    Event streams for individual users
  • 2
    Chart edits get their own URLs
Cons
  • 4
    Super expensive once you're past the free plan
Pros
  • 4
    Empowering for SQL-first analysts
  • 3
    Collaborative query building
  • 3
    Easy report building
  • 2
    In-app customer chat support
  • 2
    Integrated IDE with SQL + Python for analysis
Integrations
Google Analytics
Google Analytics
Mixpanel
Mixpanel
UserVoice
UserVoice
LiveChat
LiveChat
Olark
Olark
Marketo
Marketo
Intercom
Intercom
Sentry
Sentry
BugHerd
BugHerd
Gauges
Gauges
Looker
Looker
Urban Airship
Urban Airship
Amazon Redshift
Amazon Redshift
Optimizely
Optimizely
Periscope
Periscope
Apache Hive
Apache Hive
Microsoft Azure
Microsoft Azure
Google BigQuery
Google BigQuery
Apache Impala
Apache Impala
Amazon Redshift
Amazon Redshift
PostgreSQL
PostgreSQL
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Segment, Amplitude, Mode?

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.

Metabase

Metabase

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.

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.

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.

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