Looker vs Tableau Enterprise comparison

Google and Salesforce are both solutions in the Embedded BI category. Google is ranked #9, while Salesforce is ranked #1 with an average rating of 8.2. Google holds a 6.4% mindshare in EBT, compared to Salesforce’s 17.9% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 90% of Salesforce users who would recommend it.

Looker

Read 19 Looker reviews

2,435 Views
901 Comparison Views

80% willing to recommend

Tableau Enterprise

Read 309 Tableau Enterprise reviews

19,124 Views
2,869 Comparison Views

90% willing to recommend

Looker

Tableau Enterprise

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 15, 2026

Tableau Enterprise and Looker compete in the business intelligence tools category. Tableau appears to have an edge due to its superior visualization capabilities and broader data source support.

Features: Tableau Enterprise's features include highly intuitive and interactive visualizations, extensive data source support, and dynamic graph and dashboard creation. Looker offers exceptional data modeling capabilities with LookML, seamless SQL database integration, and centralized, accurate data management.

Room for Improvement: Tableau could improve its ETL capabilities, handling of large datasets, and incorporate more AI and machine learning features. Additionally, its pricing and licensing are complex. Looker users seek more customization in visualizations, better integration with popular data sources such as Excel, and improvements in its user interface and training resources.

Ease of Deployment and Customer Service: Tableau provides flexible deployment options, including private clouds and on-premises. It is noted for strong customer service backed by an active community. Looker focuses on public and private cloud deployment and offers service generally well-received, though not as praised as Tableau's. Both have extensive online resources but face some dissatisfaction with response times, especially Looker.

Pricing and ROI: Tableau's pricing is higher than Power BI but competitive with similar tools. It offers extensive functionality and a structured pricing model, with a higher price justifiable due to its Salesforce integration and visualization capabilities. Looker, though potentially expensive for smaller businesses, provides value with advanced features and promises good ROI, particularly appealing to larger businesses with complex analytics needs.

To learn more, read our detailed Looker vs. Tableau Enterprise Report (Updated: February 2026).

Buyer's Guide

Looker vs. Tableau Enterprise

February 2026

Download the complete report

Helped 882,479 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Looker

Ranking in Embedded BI

9th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Tableau Enterprise

Ranking in Embedded BI

1st

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

309

Ranking in other categories

BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st)

Mindshare comparison

As of February 2026, in the Embedded BI category, the mindshare of Looker is 6.4%, down from 9.1% compared to the previous year. The mindshare of Tableau Enterprise is 17.9%, down from 34.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded BI Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	17.9%
Looker	6.4%
Other	75.7%

Embedded BI

Featured Reviews

Kishore Jhunjhunwala

Sr Analytics Consultant at a outsourcing company with 1,001-5,000 employees

A cloud solution for operational reporting but is expensive

Some basic feature that is available in other reporting tools is missing. Looker has the ability to show more than 5,000 rows for operational reporting. Some reporting tools allow users to scroll down to see more than 5,000 rows, but in Looker, you have to download the entire dataset. Looker should consider adding a scroll-down option to allow users to view large datasets on screen without downloading them. Looker has some options for granting users access as viewers. However, viewers cannot download the entire dataset. Only superusers can download the whole dataset on the Explore screen. This is a big limitation, as you cannot give any user viewer access. You can give access to superuser access, which is a cost to the company.

Read full review

Uzair Faruqi

Head Of Data Science at Mjunction Services

Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization

Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"From a developer's perspective, the way the functionality's being handled is great."

"It is a pretty stable solution because it is a cloud-based product."

"The product is easy to use."

"With Looker, I have experienced benefits in terms of usability and shareability."

"It's quite effortless to navigate through various applications and review their updated data in real-time."

"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."

"I would rate the stability a ten out of ten. I didn't face any issues with stability."

"Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture."

More Looker pros

"I love the customization skills that Tableau has, it is not restricted to what is built-in already."

"The solution provides the leverage of having custom visualization and the capability of self-service."

"Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly."

"Easy to create graphs and visualizations."

"The most valuable part of the solution is the general dashboard features."

"The solution makes for very productive and really informative decision making. It can lead the whole business and build a strategy across whole working departments."

"The solution helps users create dashboards and analyze data without relying on IT or product teams."

"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."

More Tableau Enterprise pros

Cons

"It needs to be more user-friendly."

"The integration with different databases must be improved."

"The product does not have documented material."

"The visualization capability of the product is limited."

"The main area of concern in Looker is probably related to blending the data from the different sources, including the data present internally in the company and on the cloud."

"Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms."

"Integrations with other BI tools could be better."

"Stability needs improvement."

"We would like a report model, because currently there is no schema that we can create in the tool."

"The integration with other program languages, like Python, needs to be better."

"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."

"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."

"More integration with Python or something related to machine learning would be a good improvement."

"Tableau's data blending feature could use some improvement. Previously, I used other tools, such as Alteryx, for data blending because Tableau had limitations."

"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."

"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."

More Tableau Enterprise cons

Pricing and Cost Advice

"It's not cheap, but it's not expensive for big companies."

"It is cheap."

"I do not have to make any payments to use the solution."

"The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."

"Looker is expensive and could be made better by reducing it."

"In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people."

"We are on an annual license which costs us $1,400 which is very expensive. Microsft BI is less expensive."

"The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives."

"We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern."

"Tableau is an expensive solution."

"The license is very expensive."

"It is more expensive than other solutions."

"The price is definitely a point because smaller firms don't use Tableau as it's an expensive tool."

More Tableau Enterprise pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Embedded BI solutions are best for your needs.

See recommendations

882,479 professionals have used our research since 2012.

Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Retailer

Computer Software Company

Media Company

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	8
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	67
Large Enterprise	184

Questions from the Community

Ask a question

Earn 20 points

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

See all answers

Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...

See all answers

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

See all answers

Comparisons

Microsoft Power BI vs Looker

Compared 12% of the time

Databricks vs Looker

Compared 10% of the time

MicroStrategy vs Looker

Compared 9% of the time

Qlik Sense vs Looker

Compared 6% of the time

ThoughtSpot vs Looker

Compared 6% of the time

More Looker Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 18% of the time

Domo vs Tableau Enterprise

Compared 9% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 4% of the time

Julius AI vs Tableau Enterprise

Compared 3% of the time

SAP BusinessObjects Business Intelligence Platform vs Tableau Enterprise

Compared 1% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Looker

February 2026

Download Looker product report

Buyer's Guide

Tableau Enterprise

January 2026

Download Tableau Enterprise product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

Looker is a powerful data analytics platform that empowers businesses to explore and analyze their data in real time.

With its intuitive interface and robust features, Looker enables users to easily create and share interactive dashboards, reports, and visualizations.

The product's advanced data modeling capabilities and seamless integration with popular data sources make it a top choice for organizations looking to gain valuable insights from their data.

Google

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

What are the most valuable features?

Interactive Visualizations: Enables users to create engaging reports.
Drag-and-Drop Functionality: Simplifies data analysis processes.
Data Integration: Offers seamless connectivity with multiple sources.
Real-Time Collaboration: Supports synchronous data sharing.
Advanced Analytics: Provides predictive analytics and geospatial analysis.

What benefits and ROI should users look for?

Informed Decision-Making: Facilitates data-driven insights.
Efficiency in Reporting: Streamlines dashboard and reporting tasks.
Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

Salesforce

Sample Customers

Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer

Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.

Buyer's Guide

Looker vs. Tableau Enterprise

February 2026

Free Report: Looker vs. Tableau Enterprise

Find out what your peers are saying about Looker vs. Tableau Enterprise and other solutions. Updated: February 2026.

DOWNLOAD NOW

882,479 professionals have used our research since 2012.

See our Looker vs. Tableau Enterprise report.

See our list of best Embedded BI vendors.

We monitor all Embedded BI reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.