Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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Tableau Desktop
Score 8.3 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
Looker is cheaper, by far. Easier to manage. In the end, Looker was a better choice for us, even with its maintenance warts and the headaches with the APIs. Tableau licensing is difficult to manage, at the very least, whereas Looker is not. User management is much easier to …
Looker was easier to use, better integration with non-standard datastores, such as Prestodb, and Snowflake, and BigTable. Ease of manageability. Creation of reports faster and easier compared to QlikView. Tableau has better heat maps, however, Looker has better drill down in …
Tableau is also a great BI tool, but it felt a lot less flexible to me in terms of customization of data. As a visual platform, Tabluea is incredible; it can produce unbelievably rich visualizations and dashboards. It's also easier to get set up on Tableau too, but ultimately …
Tableau has an adoption issue of having to upgrade to the most recent Tableau reader. In my experience it was very difficult to get the sales team to do this.
microstrategy was the most overly complicated reporting software I have ever used. You need a consultant to do …
In terms of user interface and freedom of customization, Tableau is probably still better than Looker. However, Looker is very good in scenarios where multiple data sources and dashboards already exist within the organization and need to be integrated/unified in one place. That …
Looker is considerably easier to learn than any of the other tools listed above. For example, Tableau does offer a robust selection of visualizations, however setting them up and plotting the data correctly is considerably harder than in Looker. Another major advantage of …
We use both Looker and Tableau. It depends on the specific team. However, there is a clear correlation that we use Tableau more often when there are more data sources, including financial data.
Looker and Tableau are similar products with benefits and drawbacks according to which software you choose to employ. Looker is a Google product whereas Tableau is a Salesforce product. Depending on your existing tech stack it is recommended to leverage the integrated, native …
Looker is free, so it's certainly better bang for your buck. It's a good platform for someone who just needs a quick way to look at the data they have. It doesn't have some of the advanced functionality that Tableau has, but it integrates well with the Google ecosystem, so it's …
Tableau did not have the customization that we were told it had, and it was expensive. Domo looks promising, but is also expensive so we haven't purchased it (we may in the future). Google Sheets was very basic and did fine for what it was, but we needed something a bit more …
The learning curve for Tableau Cloud was too steep for our team. After watching a couple of YouTube videos, anyone can begin connecting data sources and creating reports with Looker. Looker is also free with Google Workspace, making the decision between Looker and Tableau a …
Looker Studio is not as robust as Tableau or Microsoft BI. So it does not provide quite as much insight or depth and it has more limitations overall then the other major reporting products. However, it is also free and connects perfectly with other Google products. Plus, all of …
It takes forever sometimes to have data ready in Tableau dashboard, and also it takes effort to maintain each dashboards. We do not have so many efforts to maintain all. Also, we need to be able to see data faster and therefore take actions and work faster. With Looker we might …
Better in terms of data configuration with slight harder learning curve, available help material is not that much and we usually have to connect with Looker Help with chat for our data and analysis questions. While Looker offers a wide range of visualization options, there were …
If you company is using Google suite products, Looker is a no-brainer. Tableau is probably the most flexibly but as a result it has the least governance capabilities. Power BI is kind of old-school in terms of how it feels to use it. I think in general, Looker brings a lot of …
Compared to Tableau I much prefer Looker. While they both have similar features (Tableau actually has more ability to drill down and edit data from various sources), for a mildly technical user, they're able to set up a report rather quickly and customize it to look a certain …
Tableau was significantly more expensive than Looker, more detailed, and required more set-up. Overall, Tabluea is great; we just didn't need something that robust. Plus, our client budgets can't afford a multi-year contract. Perhaps once they scale more, we'll need something …
Tableau provides additional visual functionality and is great for more in-depth visuals or further data exploration, but it is costly and an extremely robust solution for simple data reporting. Looker can't be beat when it comes to integrating with other G-Suite tools. All in …
Looker stacks up well against other data providers for usability and friendly interfaces, plus the ability to customise. We actually integrate Looker with other analytics tools in the same sphere (power bi, Dreamdata and others) so that we can have one comprehensive dashboard …
Looker is a great fit for our company because we have collaborative analytics workflows and complicated data ecosystems and because of its strengths in data modeling, integration, and collaboration. Brand name and peer recommendations also helps us to select Looker against …
We haven't had a proper benchmarking done. We might consider looking at other options, but this thing is deeply integrated into our platform, so not anytime soon.
I choose Looker when I need quick charts. It is easier to start and configure, browser-based, and easy to connect with Google Sheets. This gives it a good competitive advantage when comparing pricing—other similar tools have expensive licenses. In a corporate Google …
Looker is overall the best software for data visualization simply because it does not take a lot of time to onboard someone for this software and it still has tons of functionality.
Looker has the benefit of being owned by Google and seamless interface with BigQuery. We didn't use BigQuery at the time, so the benefit wasn't realized. However, we are starting to use it more and more, and will be evaluating Looker again.
Tableau is more flexible than these - I liked QlikView old version a lot but have not used the Qlik Sense etc new ones. Tableau user logic is harder to understand than Looker Studio. However it's more trust worthy. Connecting internet sources to Tableau Desktop is much harder. …
Tableau can create visually attractive customizable dashboards than can quickly by drag-drop while in power bi we can create simple dashboard. Power bi support lesser data source while in Tableau there is a lot of options When we talk about data handling tableau is a clear …
We shifted to Tableau as it performs better than power BI. Tableau can handle data from multiple data sources while Power BI is restricted to limited data sources.
Looker and Tableau Desktop are Business Intelligence tools designed to help users perform data analysis and create visualizations to display their findings. Both Business Intelligence tools are used by businesses of all sizes, though large enterprises prefer Tableau Desktop while Looker is most popular with mid-sized businesses.
Tableau Desktop offers strong visualization features that allow data analysts to create sophisticated visualizations. Looker has robust analytics features that enable non-technical users to create simple queries, while technical staff can create complex, customized queries.
Features
Looker and Tableau Desktop both provide essential business intelligence features such as data visualization and analysis, but they also both have some standout features.
Looker includes a library of analytics code blocks that allow new users to perform analysis on stored data easily. These code blocks are entirely customizable as well, so advanced users can create custom queries. Looker also offers many built-in integrations and has a flexible system for pulling in data from applications that don’t have a native integration. As a result, Looker can collect data from many sources without issue.
Tableau Desktop includes OLAP compatibility, allowing for web-based analytics and data collection. Additionally, Tableau Desktop has APIs for many big data analytics tools, allowing for visualizations based on data analysis performed by big data software. Lastly, Tableau has robust visualization features that help users to create simple visualizations, or use advanced features to create complex, interactive visualizations.
Limitations
Though Looker and Tableau Desktop both have comprehensive features for business intelligence, they also have a few important limitations.
Looker doesn’t have any support for OLAP, which makes web-based analytics more difficult. Companies that need to make use of OLAP may not be able to use Looker. Additionally, Looker doesn’t offer as many tools or integrations for big data analysis. Lastly, though Looker offers visualization features, they are not as sophisticated as the advanced visualizations that Tableau Desktop provides.
Tableau Desktop doesn’t offer analytics tools that are as straightforward as Lookers analytics blocks. Performing analytics using Tableau requires technical staff to write queries using Tableau Desktop’s visual query language. Tableau Desktop’s tools for third-party data collection are not as robust as Looker’s multiple integrations and tools for third-party data collection.
Pricing
Looker pricing depends on the size and user needs of the business. Quotes from Looker can include or remove features as needed by the organization.
Tableau Desktop pricing depends on the number of licenses purchased. The Viewer license costs $12.00 per month per user and allows for data viewing and interaction. The Explorer package costs $35.00 per month per user and allows for data querying and content sharing. Lastly, the Creator package costs $70.00 per month per user and allows for the creation of sophisticated visualization.
Features
Looker
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Looker
7.8
128 Ratings
4% below category average
Tableau Desktop
8.4
175 Ratings
3% above category average
Pixel Perfect reports
7.0104 Ratings
8.1145 Ratings
Customizable dashboards
8.6127 Ratings
9.1174 Ratings
Report Formatting Templates
7.8109 Ratings
8.1151 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Looker
7.5
126 Ratings
7% below category average
Tableau Desktop
8.3
172 Ratings
3% above category average
Drill-down analysis
7.4122 Ratings
8.5167 Ratings
Formatting capabilities
7.2124 Ratings
8.4170 Ratings
Integration with R or other statistical packages
6.651 Ratings
8.0126 Ratings
Report sharing and collaboration
8.9125 Ratings
8.5165 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Looker
8.2
122 Ratings
1% below category average
Tableau Desktop
8.3
166 Ratings
1% above category average
Publish to Web
7.9100 Ratings
8.0155 Ratings
Publish to PDF
8.4109 Ratings
8.0154 Ratings
Report Versioning
7.579 Ratings
8.3120 Ratings
Report Delivery Scheduling
9.1104 Ratings
8.6128 Ratings
Delivery to Remote Servers
00 Ratings
8.778 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Looker is ideal if you are heavily invested in Google Services, particularly marketing related services, and you with to quickly create reporting dashboards for that data. It gets more difficult when you try to tie in data from other services, and I would not use this were I already using BI package - it is not anywhere near as well supported or as widely known as some of its major competitors, but what it does do, it does do well.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
Show visited pages - sessions, pageviews - which programs are viewed the most.
Displays session source/medium views to see where users are coming from.
It shows the video titles, URLs, and event counts so we can monitor the performance of our videos.
It gives a graphic face to the numbers, such as using bar charts, pie graphs, and other charts to show user trends or which channels are driving engagement.
Our clients like to see the top pages visited for a month.
I like the drop-and-drag approach, and building charts is a little easier than it was before.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
I give it this rating because it deems as effective, I am able to complete majority of my tasks using this app. It is very helpful when analyzing the data provided and shown in the app and it's just overall a great app for Operational use, despite the small hiccups it has (live data).
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, including team content management. So it's good.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Looker has a poignant impact on our business's ROI objectives. As an advertising exchange we have specific goals for daily requests and fill, and having premade Looks to monitor this is an integral piece of our operational capability
To facilitate an efficient monthly billing cycle in our organization, Looker is essential to track estimated revenue and impression delivery by publisher. Without the Looks we have set up, we would spend considerably more time and effort segmenting revenue by vertical.
Looker's unique value proposition is making analytical tools more digestible to people without conventional analytical experience. Other competing tools like Tableau require considerably more training and context to successfully use, and the ability to easily plot different visualizations is one of its greatest selling points.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.