Tableau Desktop Reviews

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Score 8.3 out of 101

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Reviews (1-25 of 110)

Clinton Shields profile photo
Score 10 out of 10
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Data Integration

10
Tableau Desktop does a great job of connecting to many different data sources and works well with Alteryx which is what we use for data prep and is very good at connecting multiple data sources together. I will say that the data prep software that comes along with Tableau Desktop, Tableau Prep, is not quite up to snuff, but again that doesn't really reflect on Tableau Desktop itself as Tableau Desktop is not really a data prep software.
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Benjamin Plotkin profile photo
Score 8 out of 10
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Data Integration

8
Tableau Desktop makes it very easy to connect to and join, a wide range of data sources, in real-time. The application interface provides a good visualization of the number and types of joins you are making to your data sources, and if you re-use data sources, it's very straightforward to do so via a saved workbook file.
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John Rome profile photo
Score 9 out of 10
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Data Integration

8
Tableau supports a lot of the various data sources that my company uses including Oracle, Redshift, SQL Server, Google Analytics, Sybase, MS-Access Excel just to name a few. And it has nice API into tools like Google Gsuite, Dropbox, etc. However, it doesn't do a great job parsing web pages and/or JSON files that well.
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Rahul Malik profile photo
Score 9 out of 10
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Data Integration

9
With Tableau Desktop, it is really easy to connect to majority to databases including SQL Server, MS Excel and it also connects to the legacy systems which a huge benefit for us because we have a lot of data stored on the legacy systems. It can fetch real time data from these sources and create beautiful and interactive dashboards based on the inputs. It can also integrate that much easily to the cloud infrastructure as it does to any other back-end.
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Akshaya Bhardwaj profile photo
Score 7 out of 10
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Data Integration

9
If the data is not huge, but from the multiple sources like (PDF, TXT, etc.), then it works fine. But if the data is big and it is from multiple sources then there will be some problems for a couple of minutes. For merging the data i.e columns, it is very easy. We just need to drag and drop the columns.
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Jason Xiao profile photo
June 30, 2019

Tableau Review

Score 9 out of 10
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Data Integration

9
Support real-time connections or a scheduled data refresh. Can handle a large amount of data—in my experience, it can handle 1GB of extracted data. However, not flexible on setting a refresh schedule.
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No photo available
Score 6 out of 10
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Data Integration

6
It's possible to collect data from a large array of sources, but it's not easy to figure out how to merge it on more than a one-to-one basis, at least for the layperson. I do appreciate the web data connectors that allow for importation of data from sources such as Qualtrics, but I wish it was more robust (aka able to update automatically).
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Score 9 out of 10
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Data Integration

9
Being a part of the Data Science world, I am always working with different kinds of data sources ranging from SQL databases, excel sheets to Hadoop storages. Tableau really allows for some seamless integration and quick analysis of the data at hand unlike other tools where I have to figure out ways of merging and then importing. I am not saying they do not allow but not that I am aware of.
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Score 7 out of 10
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Data Integration

6
CSV/Spreadsheet data is the easiest connection with Tableau. Connecting to other data sources remains complex and usually needs help from I.T. When errors happen, they are not always easy to clear. Any connectivity issues complicate things for end users and make them frustrated, and therefore less willing to use the tools in the first place. Tableau needs to do something (fix its ecosystem?) to make data source connectivity better and easier.
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Score 9 out of 10
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Data Integration

10
There are many data sources compatible with Tableau Desktop, and they are very easy to use. Also, it is very easy to use data among the data sources, independent of what they are. It enables complex scenarios and has superb performance. I have never had an issue with no data source being available. They were always there to be used. In my case, I have many non-standard databases like Informix, and new standards like Redshift, and Tableau works great.
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Score 5 out of 10
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Data Integration

7
Tableau is a great self serve data analysis tool capable of many different types of visualizations, but it can be very difficult to use and keep updated. If you plan on using this product, make sure there is a seasoned expert on your team to get the full benefit of this platform.
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September 16, 2019

Tableau Desktop - iReviewed

Score 8 out of 10
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Data Integration

8
I think Tableau has great connectivity with data sources, including various tables joining, merging, unioning & more. I believe there some room for improvements keeping it real-time & faster data refreshing upon changing the filters. With huge datasets, Tableau would be comparatively slower and has some scope of improvement.
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No photo available
Score 9 out of 10
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Data Integration

8
Tableau offers a lot of different data sources available for integrating into your visuals. I think that Hyper is a great backend for Tableau to merge data. The ability to push data sources to the server and schedule makes it easier to do my job and serve a larger group of users.
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Score 7 out of 10
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Data Integration

10
Tableau Desktop has an impressive range of connectivity options. I have also found the interface for joining data sources easy to use. If you prefer SQL, you can use custom SQL for merging data.
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No photo available
Score 10 out of 10
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Data Integration

10
Tableau Desktop can accept many, many data sources. It can be from tools that are already in place, such as Google Analytics, or flat xlsx files, or it can connect straight to a database like SQL or Redshift.
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No photo available
Score 9 out of 10
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Data Integration

6
Our company has had issues connecting to our source data system on AS400 as well as Snowflake. The connection times out and is spotty. Also, SSO is not as reliable as other products, however it has gotten better over the past year.
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Feature Scorecard Summary

Pixel Perfect reports (97)
8.2
Customizable dashboards (115)
9.1
Report Formatting Templates (99)
7.7
Drill-down analysis (111)
8.5
Formatting capabilities (114)
8.4
Integration with R or other statistical packages (81)
7.7
Report sharing and collaboration (109)
8.2
Publish to Web (100)
8.7
Publish to PDF (102)
8.7
Report Versioning (73)
8.1
Report Delivery Scheduling (76)
8.5
Delivery to Remote Servers (31)
8.2
Pre-built visualization formats (heatmaps, scatter plots etc.) (105)
8.4
Location Analytics / Geographic Visualization (104)
8.6
Predictive Analytics (80)
7.6
Multi-User Support (named login) (93)
8.4
Role-Based Security Model (76)
8.2
Multiple Access Permission Levels (Create, Read, Delete) (83)
8.3
Single Sign-On (SSO) (33)
8.1
Responsive Design for Web Access (81)
8.3
Dedicated iOS Application (58)
7.7
Dedicated Android Application (51)
7.4
Dashboard / Report / Visualization Interactivity on Mobile (74)
8.3
REST API (26)
8.0
Javascript API (25)
7.7
iFrames (23)
7.1
Java API (22)
7.6
Themeable User Interface (UI) (24)
7.9
Customizable Platform (Open Source) (20)
7.3

About Tableau Desktop

Tableau Desktop aims to allow people to make data-driven decisions with confidence, by helping them answer questions more quickly, solve harder problems more easily, and uncover new insights more frequently.

The vendor says that with a couple of clicks, Tableau Desktop connects directly to hundreds of data sources, both on-premises or in the cloud, with the goal of making it easier to start analysis. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from an intuitive and visual interface. Users can ask deeper questions by quickly building powerful calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.

Tableau's goal is to help people and organizations become more data-driven. With an integrated platform that is strives to be easy to start and scale, Tableau aims to support the entire analytics journey, from data preparation, to deep analysis, to the shared insights that drive the business forward.


Tableau Desktop Competitors

IBM Cognos, SAP Lumira Discovery, Qlik Sense, Microsoft Power BI, MicroStrategy Analytics, SAP BusinessObjects Business Intelligence (BI) Platform

Pricing

Has featureFree Trial Available?Yes
Has featureFree or Freemium Version Available?Yes
Has featurePremium Consulting/Integration Services Available?Yes
Entry-level set up fee?No

Free trials are available for both editions.

Tableau Desktop Technical Details

Deployment Types:On-premise
Operating Systems: Windows, Mac
Mobile Application:No