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  5. Amplitude vs Looker

Amplitude vs Looker

OverviewDecisionsComparisonAlternatives

Overview

Amplitude
Amplitude
Stacks887
Followers701
Votes36
Looker
Looker
Stacks632
Followers656
Votes9

Amplitude vs Looker: What are the differences?

Introduction

Amplitude and Looker are two popular analytics tools that provide valuable insights for businesses. While both tools focus on data analysis, there are key differences between the two.

  1. Data Visualization: Amplitude offers a robust and intuitive data visualization suite that allows users to create interactive charts, funnels, and dashboards. Looker, on the other hand, provides a more flexible approach to data visualization, allowing users to build custom visualizations using LookML, a proprietary modeling language. This gives Looker an edge when it comes to creating complex, tailored visualizations.

  2. Data Exploration: Amplitude primarily focuses on providing pre-built analysis and insights through its user-friendly interface. It offers advanced segmentation capabilities, cohort analysis, and event-based analysis to help businesses understand user behavior. Looker, on the other hand, emphasizes data exploration and ad-hoc analysis. It allows users to query and explore data in real-time without having to rely on pre-built reports, giving more flexibility in uncovering insights.

  3. Integration and Data Sources: Amplitude specializes in mobile and web analytics, making it an ideal choice for businesses with mobile applications. It seamlessly integrates with various platforms and SDKs to capture user behavior data. Looker, on the other hand, offers a wide range of connectors and integrations, making it suitable for businesses with diverse data sources. It can connect to various databases, cloud platforms, and external tools, enabling a holistic data analysis approach.

  4. Collaboration and Sharing: Amplitude provides collaborative features, allowing teams to work together and share insights within the platform. It offers role-based access control, dashboards, and reports sharing, making it easier to collaborate on data analysis. Looker also offers collaboration features, including shared dashboards and reports. However, Looker goes a step further by allowing users to embed data visualizations and explorations directly into applications, enabling easier sharing and consumption of insights.

  5. Data Governance: Amplitude focuses on providing a user-friendly, self-serve analytics platform, which may result in less centralized control over data governance. Looker, in contrast, puts a stronger emphasis on data governance and provides more granular control over data access and permissions. It allows administrators to define access levels, restrict data access, and track data lineage, ensuring data security and compliance.

  6. Pricing and Licensing: Amplitude offers a tiered pricing model based on usage and features, making it more accessible for smaller businesses. Looker, on the other hand, offers a custom pricing model that can be more suitable for larger enterprises with specific needs. Looker also offers a free version for limited users, enabling businesses to explore the tool before committing to a paid plan.

In summary, Amplitude emphasizes user-friendly data visualization and analysis, especially for mobile and web analytics. Looker, on the other hand, focuses on data exploration, customization, and collaboration while putting a stronger emphasis on data governance and flexibility in data sources.

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Advice on Amplitude, Looker

Mohan
Mohan

CEO at UPJAUNT

Nov 10, 2020

Needs adviceonFirebaseFirebaseGoogle BigQueryGoogle BigQueryData StudioData Studio

We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

497k views497k
Comments
Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments
Michael
Michael

CTO at Barsala

Oct 2, 2020

Needs advice

Our engineering team is deciding which data warehouse to integrate with our system, and the BI tool to interface with it.

Preliminary question - Is it best practice to try and consolidate all data to be analyzed in one location (warehouse) then have the BI tool just interface with that one source to draw insights? Know some BI tools can connect to multiple but not sure if that's a crutch until teams are able to create a single destination for all of their data

Business Requirements

  • We're looking to create dashboards for each company KPI - with the primary KPI as the highlight of the dashboard, then other downstream metrics that impact it alongside of it
  • We're looking to sync data across the platforms we work with: Stripe, Twilio, Sendgrid, Salesforce, Facebook Ads, Google Ads, Paypal, Business Amazon account (not AWS)
  • For the BI tool, we want to be able to share dashboards, connect different API's and databases, have flexible date ranges, and a nice to have is easy to interface with if team members don't know SQL

Current stack

  • Segment to route user events to Google Adwords, Facebook Ads, Mixpanel, and S3
  • Mixpanel to analyze web and mobile metrics
  • Fullstory for enhanced mobile and web visibility
  • Salesforce as a CRM - majority of our data lies within here

Current thoughts

  • AWS Redshift seems to be well adopted, integrate with most tools, and we're already building on AWS so it seems to make sense. BigQuery seemed more expensive and Snowflake didn't seem terrible but wasn't in AWS ecosystem
  • Looker has looked the most impressive on the BI tool side, but open to discussion
  • We're looking to do this alongside other projects with an in-house engineer and a contractor - we're a bit limited on the technical resources and we're looking to at least get a first pass in and eventually enhance the integration as we have bandwidth

Guidance / advice is appreciated, even if it's only for data warehousing or BI tools specifically (and not both)

6.14k views6.14k
Comments

Detailed Comparison

Amplitude
Amplitude
Looker
Looker

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.

We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

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.
Zero-lag access to data;No limits;Personalized setup and support;No uploading, warehousing, or indexing;Deploy anywhere;Works in any browser, anywhere;Personalized access points
Statistics
Stacks
887
Stacks
632
Followers
701
Followers
656
Votes
36
Votes
9
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
  • 4
    GitHub integration
  • 4
    Real time in app customer chat support
  • 1
    Reduces the barrier of entry to utilizing data
Cons
  • 3
    Price
Integrations
Segment
Segment
Urban Airship
Urban Airship
Amazon Redshift
Amazon Redshift
Mode
Mode
Optimizely
Optimizely
Periscope
Periscope
No integrations available

What are some alternatives to Amplitude, Looker?

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.

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.

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