Looker vs Mixpanel

Overview

Mixpanel

Stacks7.0K

Followers3.7K

Votes438

Looker

Stacks632

Followers656

Votes9

Looker vs Mixpanel: What are the differences?

Introduction

1. Query Language: Looker uses LookML, a proprietary query language, to define data models and create custom metrics and dimensions. Mixpanel uses a drag-and-drop interface, allowing users to build queries visually without the need for coding or writing queries manually.
2. Data Collection: Looker primarily relies on external data sources and integrations to collect and analyze data. Mixpanel provides its own SDKs that can be integrated into an application or website to track user events and collect data directly from the source.
3. Data Visualization: Looker offers robust data visualization capabilities, allowing users to create interactive dashboards and charts to visualize and explore data. Mixpanel, on the other hand, provides pre-built visualizations and reports that focus more on user behavior and engagement metrics.
4. User Segmentation: Looker allows users to define custom segments based on various attributes and dimensions in the data. Mixpanel specializes in user segmentation and cohort analysis, providing advanced features for analyzing user behavior and trends over time.
5. Real-time Tracking: Mixpanel provides real-time data tracking, allowing users to monitor user events and analyze data instantaneously. Looker, on the other hand, offers near real-time data updates but may have a slight delay in data processing and visualization.
6. Price and Licensing: Looker offers a subscription-based pricing model, with different tiers based on the user's needs and the number of users. Mixpanel also offers a subscription-based pricing model but is primarily based on the amount of data collected and the number of user profiles.

In summary, Looker and Mixpanel differ in their query language, data collection methods, data visualization capabilities, user segmentation features, real-time tracking, and pricing/licensing models.

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Advice on Mixpanel, Looker

Mohan

CEO at UPJAUNT

Nov 10, 2020

Needs adviceon

Firebase

Google BigQuery

Data 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

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

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)

6.15k views6.15k

Comments

Detailed Comparison

Mixpanel	Looker
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.	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.
Interactive reports to answer more product questions; Team dashboards & alerts for better visibility into how the things you ship move the numbers that matter; Limitless segmentation to analyze why metrics change; Group analytics to calculate metrics at the account or company level; Scalable infrastructure; 50+ Data integrations to connect your stack; Data governance to keep data clean and usable; Security & privacy compliance to keep customer data safe	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 7.0K	Stacks 632
Followers 3.7K	Followers 656
Votes 438	Votes 9
Pros & Cons
Pros 144 Great visualization ui 108 Easy integration 78 Great funnel funcionality 58 Free 22 A wide range of tools Cons 2 Paid plans can get expensive 2 Messaging (notification, email) features are weak 1 Limited dashboard capabilities	Pros 4 Real time in app customer chat support 4 GitHub integration 1 Reduces the barrier of entry to utilizing data Cons 3 Price
Integrations
Happyfox Help Scout Zendesk Forest FullStory Segment Marketo Fivetran Intercom Meya	No integrations available

What are some alternatives to Mixpanel, Looker?

Google Analytics

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

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.

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.

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.

Amplitude

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.

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

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.

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.

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 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.

Related Comparisons

Looker vs Mixpanel: What are the differences?

Introduction

1. Query Language: Looker uses LookML, a proprietary query language, to define data models and create custom metrics and dimensions. Mixpanel uses a drag-and-drop interface, allowing users to build queries visually without the need for coding or writing queries manually.
2. Data Collection: Looker primarily relies on external data sources and integrations to collect and analyze data. Mixpanel provides its own SDKs that can be integrated into an application or website to track user events and collect data directly from the source.
3. Data Visualization: Looker offers robust data visualization capabilities, allowing users to create interactive dashboards and charts to visualize and explore data. Mixpanel, on the other hand, provides pre-built visualizations and reports that focus more on user behavior and engagement metrics.
4. User Segmentation: Looker allows users to define custom segments based on various attributes and dimensions in the data. Mixpanel specializes in user segmentation and cohort analysis, providing advanced features for analyzing user behavior and trends over time.
5. Real-time Tracking: Mixpanel provides real-time data tracking, allowing users to monitor user events and analyze data instantaneously. Looker, on the other hand, offers near real-time data updates but may have a slight delay in data processing and visualization.
6. Price and Licensing: Looker offers a subscription-based pricing model, with different tiers based on the user's needs and the number of users. Mixpanel also offers a subscription-based pricing model but is primarily based on the amount of data collected and the number of user profiles.

In summary, Looker and Mixpanel differ in their query language, data collection methods, data visualization capabilities, user segmentation features, real-time tracking, and pricing/licensing models.

Looker vs Mixpanel

Overview

Looker vs Mixpanel: What are the differences?