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Domo Logo
Read 35 Domo reviews
7,017 views|5,342 comparisons
86% willing to recommend
Google Logo
2,207 views|1,755 comparisons
80% willing to recommend
Tableau Logo
26,131 views|22,454 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Domo, Looker, and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools.
To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: April 2024).
769,599 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I mostly see it as an ETL which has many system connectors. It does a good job of ETL.""This solution allows us to change our performance metrics and tracks our goals in real-time.""Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want.""In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version.""Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo.""One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs.""The most valuable feature currently is the self-service BI availability in Domo. I would say the data file fabric solutions where the users themselves are responsible for generating their own reports.""The ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."

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"From a developer's perspective, the way the functionality's being handled is great.""With Looker, I have experienced benefits in terms of usability and shareability.""It is a pretty stable solution because it is a cloud-based product.""The product is easy to use.""We can centralize all our data models.""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.""I would rate the stability a ten out of ten. I didn't face any issues with stability.""It's quite effortless to navigate through various applications and review their updated data in real-time."

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"The stability seems to be very reliable.""It is an excellent tool for data capture, processing, and visualization.""It is a stable solution.""Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us.""I believe one of the most valuable features of the solution is trend analysis.""The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns.""I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it.""The most valuable features are the visualizations, the way they show the combination charts."

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Cons
"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet.""When you're exporting a graph out of Domo — suppose it is in the form of a donut chart or it is in form of a stack — the data comes out in tabular format, not as a graph. When exporting the data, I would like them to create a tab for graphs and another tab with the data in tabular format.""It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL.""I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster.""It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time.""Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed.""It's quite slow. We are using about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case.""The ETL way of storing is not up to mark. You have to rely on the naming convention that you're using in Domo because there are no folder systems where you can collate all your workflows and put them into separate folders. A folder system should be there so you can easily identify how you are working. Once you want to make some changes to your ETL, then you can see the whole lineage, identifying what is there and not there."

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"The integration with different databases must be improved.""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.""Stability needs improvement.""It needs to be more user-friendly.""Integrations with other BI tools could be better.""The product does not have documented material.""The visualization capability of the product is limited."

More Looker Cons →

"Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community.""The pricing is a bit higher than the competition. They'll need to lower it to stay competitive.""Tableau is a company that does not respect partners.""I would like them to include the Italian language, as I can see there are other foreign language in the product.""It should have more integration with different tools and technologies. Its licensing cost should also be improved.""The solution could improve the scalability, it is difficult to make changes.""Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation.""More integration with Python or something related to machine learning would be a good improvement."

More Tableau Cons →

Pricing and Cost Advice
  • "I believe that the investment in Domo was worthwhile because it allowed for the organization to jump in quickly, with little training. There are different plans available based on the requirements."
  • "They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."
  • "We are making money from Domo, and all our clients are happy with the information that they receive from it."
  • "It is on the pricier end."
  • "Domo is slightly costly but it's much cheaper than some."
  • "I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo."
  • "For about 100 users our cost is $95,800."
  • "Because it's software as a service, it's more expensive on the face of it. But there are a lot of variables. I don't have to pay for servers or for infrastructure. I don't have to pay labor for my IT organization to set up or maintain the environment. I don't have to pay for them to upgrade the software, and test it, etc., because when it rolls out, it is transparent and seamless for us. But, because of that, it costs more, I imagine, than Sisense, or Yellowfin, or Power BI. A lot of those make it sound like they're inexpensive, but when you add in all the hidden costs and all of the overhead, it's probably comparable."
  • More Domo Pricing and Cost Advice →

  • "Looker is expensive and could be made better by reducing it."
  • "It's not cheap, but it's not expensive for big companies."
  • "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."
  • "It is cheap."
  • "I do not have to make any payments to use the solution."
  • More Looker Pricing and Cost Advice →

  • "For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
  • "Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    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 use to create and share insights. It is also the tool of choice for rapid prototyping of dashboards. Tableau is very flexible with its data import. Tableau's data blending capability is very intuitive. This capability is useful when you have data spread across several different sources that has not gone through ETL processes. This is a problem analysts deal with routinely. They are unable to wait for the data warehouse team to develop ETL processes to provide the physical models they need to build an analysis. The Tableau interface is Excel-like and has a low barrier to entry for analysts that are used to working in Excel. Building a dashboard by mashing up visualizations in a Tableau worksheet is extremely simple. Users are able to build good presentation-quality dashboards in a very short amount time. Tableau's annotations capabilities and its time and geographical intelligence are key differentiators. Tableau has overcome limitations in data sharing with the introduction of a Data Server in Tableau 7.0. The Data server allows Data sources and extracts to be shared securely and opens up interesting new possibilities. If your application can take advantage of the above… Read more →
    Questions from the Community
    Top Answer:All our client SLAs and daily and weekly dashboards are tracked on Domo.
    Top Answer:Domo can be crazy expensive.  They have a lot of capabilities but depending on the pricing model you have, either they… more »
    Top Answer:If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables.
    Top Answer:With Looker, I have experienced benefits in terms of usability and shareability.
    Top Answer:I do not have to make any payments to use the solution. In the beginning, Looker may work fine for its users. If… more »
    Top Answer:The visualization capability of the product is limited. From an improvement perspective, the product should have more… more »
    Top Answer:It depends on the Data architecture and the complexity of your requirement Some great tools in the market are Qlik… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been… more »
    Top Answer:Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use… more »
    Ranking
    Views
    7,017
    Comparisons
    5,342
    Reviews
    9
    Average Words per Review
    694
    Rating
    7.9
    5th
    out of 31 in Embedded BI
    Views
    2,207
    Comparisons
    1,755
    Reviews
    10
    Average Words per Review
    634
    Rating
    7.7
    Views
    26,131
    Comparisons
    22,454
    Reviews
    13
    Average Words per Review
    537
    Rating
    8.7
    Comparisons
    Microsoft Power BI logo
    Compared 32% of the time.
    Databricks logo
    Compared 4% of the time.
    Amazon QuickSight logo
    Compared 2% of the time.
    Qlik Sense logo
    Compared 1% of the time.
    Apache Superset logo
    Compared 1% of the time.
    Microsoft Power BI logo
    Compared 18% of the time.
    Amazon QuickSight logo
    Compared 10% of the time.
    SAS Visual Analytics logo
    Compared 5% of the time.
    Databricks logo
    Compared 4% of the time.
    Apache Superset logo
    Compared 3% of the time.
    Also Known As
    corda
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    Overview

    Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

    Find more information on The Business Cloud Here.

    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.

    Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights. 

    Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

    Tableau has many valuable key features:

    • Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
    • Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards. 
    • Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions. 
    • Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data. 
    • Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries. 
    • Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

    Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

    Romil S., Deputy General Manager of IT at Nayara Energy, notes, "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.

    Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.

    Sample Customers
    Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
    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.
    Top Industries
    REVIEWERS
    Retailer12%
    Computer Software Company12%
    Financial Services Firm12%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company12%
    Manufacturing Company10%
    Financial Services Firm7%
    University7%
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm17%
    Retailer8%
    Recruiting/Hr Firm8%
    VISITORS READING REVIEWS
    Educational Organization33%
    Computer Software Company11%
    Financial Services Firm10%
    Manufacturing Company7%
    REVIEWERS
    Financial Services Firm13%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise25%
    Large Enterprise39%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise15%
    Large Enterprise57%
    REVIEWERS
    Small Business26%
    Midsize Enterprise42%
    Large Enterprise32%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise39%
    Large Enterprise46%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise47%
    Buyer's Guide
    BI (Business Intelligence) Tools
    April 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
    769,599 professionals have used our research since 2012.