Looker vs Tableau

Overview

Looker

Stacks632

Followers656

Votes9

Tableau

Stacks1.3K

Followers1.4K

Votes8

Looker vs Tableau: What are the differences?

User Interface and Ease of Use: Looker focuses on providing a simple and intuitive interface that is easy for non-technical users to navigate and understand. Tableau, on the other hand, offers a more visually appealing interface with a wide range of customization options for experienced users to create complex visualizations.
Data Visualization Capabilities: Looker is more focused on providing pre-built data models and templates for analysis, making it easier for users to get started quickly. Tableau offers a wide range of visualization options, including advanced mapping capabilities and interactive dashboards, making it suitable for intricate data analysis and storytelling.
Data Source Connectivity: Looker connects directly to databases and other data sources in real-time, providing up-to-date information for analysis. In comparison, Tableau allows users to connect to a variety of data sources but may require additional steps for data preparation and cleaning before analysis.
Cost and Licensing Structure: Looker's pricing is typically based on the number of users or the amount of data processed, making it more scalable for small to medium-sized businesses. Tableau offers different licensing options, including both desktop and server licenses, potentially making it more cost-effective for larger organizations with established data teams.
Collaboration and Sharing Features: Looker offers built-in collaboration features, allowing users to share reports and insights within the platform easily. Tableau provides robust sharing capabilities, including the ability to publish dashboards to the Tableau Server or Tableau Online for broader access and collaboration.

In Summary, Looker and Tableau differ in their user interfaces, data visualization capabilities, data source connectivity, cost structures, and collaboration features, catering to different user needs and preferences in data analysis and visualization.

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Advice on Looker, Tableau

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

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

Looker	Tableau
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.	Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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	Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.
Statistics
Stacks 632	Stacks 1.3K
Followers 656	Followers 1.4K
Votes 9	Votes 8
Pros & Cons
Pros 4 GitHub integration 4 Real time in app customer chat support 1 Reduces the barrier of entry to utilizing data Cons 3 Price	Pros 6 Capable of visualising billions of rows 1 Intuitive and easy to learn 1 Responsive Cons 3 Very expensive for small companies

What are some alternatives to Looker, Tableau?

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'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: 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.

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

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

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.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Related Comparisons

Looker vs Tableau: What are the differences?

User Interface and Ease of Use: Looker focuses on providing a simple and intuitive interface that is easy for non-technical users to navigate and understand. Tableau, on the other hand, offers a more visually appealing interface with a wide range of customization options for experienced users to create complex visualizations.
Data Visualization Capabilities: Looker is more focused on providing pre-built data models and templates for analysis, making it easier for users to get started quickly. Tableau offers a wide range of visualization options, including advanced mapping capabilities and interactive dashboards, making it suitable for intricate data analysis and storytelling.
Data Source Connectivity: Looker connects directly to databases and other data sources in real-time, providing up-to-date information for analysis. In comparison, Tableau allows users to connect to a variety of data sources but may require additional steps for data preparation and cleaning before analysis.
Cost and Licensing Structure: Looker's pricing is typically based on the number of users or the amount of data processed, making it more scalable for small to medium-sized businesses. Tableau offers different licensing options, including both desktop and server licenses, potentially making it more cost-effective for larger organizations with established data teams.
Collaboration and Sharing Features: Looker offers built-in collaboration features, allowing users to share reports and insights within the platform easily. Tableau provides robust sharing capabilities, including the ability to publish dashboards to the Tableau Server or Tableau Online for broader access and collaboration.

Looker vs Tableau

Overview