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Tableau Desktop

Tableau Desktop

Overview

What is Tableau Desktop?

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…

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Recent Reviews

Analytics with Tableau

7 out of 10
February 27, 2024
We use Tableau to generate daily and weekly reports for our business module to generate our key performance indicators. These insights we …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 30 features
  • Report sharing and collaboration (156)
    9.3
    93%
  • Drill-down analysis (158)
    9.2
    92%
  • Customizable dashboards (165)
    9.0
    90%
  • Formatting capabilities (161)
    8.9
    89%

Reviewer Pros & Cons

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Pricing

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Tableau Creator

$70.00

On Premise
Per User / Per Month

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttp://www.tableau.com/products/desktop

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $70 per month
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Product Demos

Tableau Desktop Tutorial | Tableau Desktop Training | Online Tableau Desktop Training - Youtube

YouTube

- Tableau Demo: Quick Tutorial to Getting Started with Tableau Desktop

YouTube

Tableau Desktop Naming Conventions Part 1

YouTube

Tableau Desktop Introduction Part 1

YouTube
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.5
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.9
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

8.8
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

8.6
Avg 8.1

Access Control and Security

Access control means being able to determine who has access to which data.

8.7
Avg 8.6

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

8.4
Avg 7.9

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

8.6
Avg 7.9
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Product Details

What is Tableau Desktop?

Tableau Desktop supports data-driven decisions by helping users to answer questions more quickly, solve harder problems more easily, and uncover new insights.

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 analyses. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from its visual interface. Users can ask deeper questions by quickly building calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.


Tableau Desktop Video

In this video, the TrustRadius team will be discussing the top business intelligence tools available: Qlik Sense, Tableau, ThoughtSpot, and IBM Cognos Analytics.

Tableau Desktop Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Mac
Mobile ApplicationNo

Frequently Asked Questions

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.

Tableau Desktop starts at $70.

IBM Cognos Analytics, SAP Lumira Discovery, and Qlik Sense are common alternatives for Tableau Desktop.

Reviewers rate Report sharing and collaboration highest, with a score of 9.3.

The most common users of Tableau Desktop are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(2271)

Attribute Ratings

Reviews

(1-3 of 3)
Companies can't remove reviews or game the system. Here's why
Chandra Bhanu Pratap Singh | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are using Tableau Desktop for creating dashboards for MIS reporting. These dashboards are being used by stakeholders and managers for their decisions process. They can see the changes over time and graphs, top performing agents and several similar details which are shown geographically or by state. We usually get requirements to update the dashboards as per their need so that it is easily understandable and conveys more information.
  • Graphs and charts are built very easily.
  • Tableau is very good at showing data visually
  • Easily help make a decision by looking at the pattern
  • The ETL part is missing in Tableau.
  • For huge and ambiguous data-sets, Tableau Desktop is not good.
  • Before analysis data preparation is mandatory.
Tableau is well suited for scenarios where we need to show data visually instead of tabular data. Because Tableau Desktop helps in summarizing the data, and summary data can be well presented in visual form only. If we have tabular data we need to first perform a few calculations and based on that we can create fields which will be used for creating graphs and charts.
1. As compared to SAP Business Objects, Tableau is very easy to use and quick in terms of implementation. Although SAP BO is reporting tool but both tool servers different purposes. SAP BO is a huge enterprises tool used mainly for creating large tabular reports while Tableau Desktop is a dash boarding tool used for visual representation of data.

2. When comparing QlikView with Tableau both are kind of similar tools, because the purpose of both tools are visual representation of data using dashboards. Although both tools are different at several points like QlikView has very good ETL and features compared to Tableau, while Tableau is very user-friendly and offers drag and drop features which makes it very easy for business users as well.
BI Platform
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (3)
86.66666666666666%
8.7
Pixel Perfect reports
80%
8.0
Customizable dashboards
90%
9.0
Report Formatting Templates
90%
9.0
Ad-hoc Reporting (4)
95%
9.5
Drill-down analysis
90%
9.0
Formatting capabilities
100%
10.0
Integration with R or other statistical packages
90%
9.0
Report sharing and collaboration
100%
10.0
Report Output and Scheduling (5)
92%
9.2
Publish to Web
100%
10.0
Publish to PDF
100%
10.0
Report Versioning
100%
10.0
Report Delivery Scheduling
80%
8.0
Delivery to Remote Servers
80%
8.0
Data Discovery and Visualization (3)
93.33333333333334%
9.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
100%
10.0
Location Analytics / Geographic Visualization
90%
9.0
Predictive Analytics
90%
9.0
Access Control and Security (4)
82.5%
8.3
Multi-User Support (named login)
90%
9.0
Role-Based Security Model
80%
8.0
Multiple Access Permission Levels (Create, Read, Delete)
80%
8.0
Single Sign-On (SSO)
80%
8.0
Mobile Capabilities (3)
93.33333333333334%
9.3
Responsive Design for Web Access
100%
10.0
Mobile Application
80%
8.0
Dashboard / Report / Visualization Interactivity on Mobile
100%
10.0
Application Program Interfaces (APIs) / Embedding (6)
15%
1.5
REST API
N/A
N/A
Javascript API
90%
9.0
iFrames
N/A
N/A
Java API
N/A
N/A
Themeable User Interface (UI)
N/A
N/A
Customizable Platform (Open Source)
N/A
N/A
QlikView, SAP BusinessObjects BI Platform
100
Most of they either prepare Tableau dashboards for their clients or they support tableau for their clients
3
In my own project we have three people who are providing tableau support
  • For their own Decision making process
  • For business forecast
  • For Reporting purpose
  • To see dynamic dashboards for visual analysis
  • For decision making process
  • Earlier we were using SAP Business Objects for reporting purpose in which even a little change takes up a lot of time, but now after moving to Tableau it has become quite easy and time saving.
Yes
Tableau replaced SAP Business Objects is my project, this was because for interactive visualization purpose business objects was not good, so we have to go for some visualization tool and Tableau was best to be considered due to its easy to use, less training and quick setup features and obviously business requirement.
  • Price
  • Product Features
  • Product Usability
  • Product Reputation
  • Analyst Reports
  • Third-party Reviews
The main factor in Purchasing tableau was its usability and quick setup, minimal training.
The evaluation and selection process would be kind of similar, although for big dataset I would like to choose some tool which uses in-memory technology for faster data retrieval.
  • Implemented in-house
Yes
Data Source and Data Preparation
Setting up 4 environments(Dev, Build, UAT and Prod)
Setting up connection and creating Tableau extracts
building dashboards
Publishing, Security and maintainance
Change management was a big part of the implementation and was well-handled
This was very important part of the project, as it was an agile project the requirements for an update was frequent, so maintaining the projects change
requests were very important. So every request has to go through a change request and approval only after that the changes use to go live.
  • Several change requests were raised parallely so maintaing the que was getting difficult.
  • We have to come up with a change window only when changes could be applied.
  • We have to keep the timeline of changes so that it doesn't overlap with the previous request of the same dashboard.
Be very specific about the version of tableau desktop you are going to use since supporting version of tableau server also needs to set up.
  • Online training
  • Self-taught
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful.
Without training also Tableau can be mastered by you will have to give more time to practice the concepts and also need to go through online resources.
No
Basically, Tableau has very good and active user community and any question are answered very quickly. Multiple times i had situations where i had to post on tableau community about my issues and community users were so active that I got 2-3 answers within 2 hrs.
Because I have never really faced any issue with the support team and they are usually quite active so it's quite helpful.
Yes
There was an issue publishing data online, in that case, contact support although that was not a bug.
During the time of setting up tableau online they were really helpful, I would say that was kind of exceptional support but it could have been faster.
  • Building basic charts from already available show me is one of the quickest and easiest thing in any BI tool
  • connecting to data is quite simple we don't need to write long queries(unless we want to).
  • arranging sheets in the dashboard and using filters are just clicks away, anyone can do it by first chance only.
  • Using calculated fields for special functionalities
  • Understanding and using LOD functions can be cumbersome for new users
  • building advanced graphs require a deep understanding of several advanced tableau features, which comes from regular uses.
Yes
The best thing is you can see your published content from a mobile client at your ease.
Apart from this tableau features mobile specific dashboard building, like based on mobile screen size and resolution you can create your dashboard.
I am really a fan of tableau for its quick setup, data connection, dashboard creation time and very easy to use UI.
As i have used multiple Bi tools like QlikView and SAP BO, i can say all other tools take really long time in performing above functionalities except QlikView which is really fast in term of performing analysis.
Although tableau is highly interactive and fast but with very large dataset its performance degrades heavily. So up to certain extent its really good but after that we have to take care of its performance issues.
I have really never faced any serious issue with this tool, although in some versions there were crashing issues were there.
The performance of tableau heavily depends on size of data and sheet objects and visualizations used. So yes the performance of tableau degrades based on its complexity.
Score 10 out of 10
Vetted Review
Verified User
We use Tableau Desktop mainly to analyze operational data for our consumer-facing website. This involves data from our own web application (sometimes via database connection, sometimes via flat file exports) as well as Google Analytics data (both traffic and events data). We have one user (me) who runs weekly reports that mash up the data from the operational systems and Google Analytics, and then syndicate the output via emailing PDFs of the standard reports around. I also do ad hoc analyses from time to time to try and spot patterns, trends, answer specific questions etc. and sometimes those make their way into the standard weekly visualizations shared with the team.
  • Tableau is an excellent tool for quickly making sense of millions of rows of data. It does an excellent job of recognizing facts and dimensions in denormalized data files (say CSV or Excel) as well as connecting to larger databases. The learning curve is slight but not too steep if you are comfortable with Excel Pivot Tables or similar.
  • The visualizations are particularly good as well, as there is a good library of them as well as an auto-suggest feature that for a given series of dimensions and metrics will recommend what chart types might apply. If you have data it recognizes (or is typed) as zip codes for instance it will recommend a geospatial / map visualization.
  • If you have broader enterprise needs for data security and segmentation, heavy duty report customization, or data transformation, this is less comprehensive a tool than other enterprise BI packages (e.g. Business Objects, MicroStrategy, or similar). That said, what it does, it does amazingly well and at a tremendous value.
  • One minor annoyance is that formatting applied to a workbook doesn't carry throughout or get remembered as a template. The default choices for font sizes tend not to export well to presentations or printed text, and having to hand-enlarge every axis label every time gets obnoxious. I've seen third-party tools developed specifically for re-using formatting selections across one or multiple workbooks.
We were satisfied enough with Tableau that it would take something pretty amazing to get me to switch away from it as a go-to visualization and analysis tool, or "pivot table on steroids". It's best suited though to situations where you have your data either in a single tabular format, or where you can run a single query against a single data source to get a single tabular format answer as the basis for generating your visualizations. Tableau does have a data blending feature that is useful, but if you use it when connecting to multiple large third-party data sources (for instance two connections to Google Analytics, one to get traffic metrics and one to get more detailed event counts and join them up on landing page, channel, etc...) then the data blending process can get pretty cumbersome. It's better to stage your data outside Tableau in one format (be it a single SQL database, CSV, or whatever) via some other ETL process than to try and get that done via data blending in Tableau.
We were interested in expedience at reasonable cost and so didn't do any sort of bakeoff, but tried Tableau first as a potential solution for moving beyond Excel for large scale data analytics. We picked it because it more than met our functional needs at a very reasonable price point. If I were looking again today I would compare Tableau to Qlikview, Birst, and a few other players. But I'm satisfied with the choice we made and results we've gotten from Tableau.
The price is excellent for what the software does, and Tableau continues to listen attentively to customer feedback and makes continuous improvements to the products. At a percentage of the relatively low entry price point, maintenance is a no-brainer and a bargain.
BI Platform (1)
N/A
N/A
ETL Capability
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (3)
66.66666666666667%
6.7
Pixel Perfect reports
70%
7.0
Customizable dashboards
80%
8.0
Report Formatting Templates
50%
5.0
Ad-hoc Reporting (4)
57.5%
5.8
Drill-down analysis
100%
10.0
Formatting capabilities
70%
7.0
Integration with R or other statistical packages
N/A
N/A
Report sharing and collaboration
60%
6.0
Report Output and Scheduling (1)
70%
7.0
Publish to PDF
70%
7.0
Data Discovery and Visualization (3)
66.66666666666667%
6.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
100%
10.0
Location Analytics / Geographic Visualization
100%
10.0
Predictive Analytics
N/A
N/A
Access Control and Security
N/A
N/A
Mobile Capabilities (2)
N/A
N/A
Mobile Application
N/A
N/A
Dashboard / Report / Visualization Interactivity on Mobile
N/A
N/A
Application Program Interfaces (APIs) / Embedding
N/A
N/A
4
Tableau was used by a combination of cross-functional employees including:
  • Business Analytics (primarily management and visualization definition)
  • Finance (report definition and execution to PDF etc.)
  • Business Development (interactive use of dashboards)
2
Technically savvy business analyst types for Tableau. While hard core DBA skills aren't really required, once you want to get into more complex mash-ups of data from multiple sources you do need someone relatively savvy about data types, queries, etc. You'd need more hardcore DBA types for maintaining actual back-end databases if reporting against SQL-queryable databases of course.
  • As we moved into CPC ads, we might have used Tableau as a quick and dirty ad spend optimization tool by driving into traffic and conversion metrics tied to actual conversion values (the high-level flat dollar amounts you can specify in Google Analytics wouldn't work for our real-time bidding platform we would need to mash up data from Google AdWords and our operational systems and Tableau is excellent at that)
  • We used Tableau to analyze web traffic data, including traffic channels and sources, the conversion funnel, inventory mix and categorization, geographic distribution of inventory and inbound traffic and leads, on a dataset of millions to tens of millions of rows.
  • We also used Tableau to report on operating metric performance to plan though it provided less unique value in that situation
  • We were able to very quickly generate geographic heatmaps showing automobile inventories across the US, including the ability to filter/drill on various makes/models
  • Similarly we could generate heatmaps across the US to indicate where web traffic was originating
  • Finally, using calculated fields to mash those two up we could quickly and visually pinpoint where supply/demand imbalances existed to direct our business development efforts (e.g. we need more Toyota dealers providing inventory in Atlanta, and we need to target driving more traffic on BMW related search terms in Chicago, etc.)
Yes
Greater ease of data manipulation, visualization, and the ability to handle large data sets with fast performance.
  • Price
  • Product Features
  • Product Usability
  • Positive Sales Experience with the Vendor
The usability of Tableau really is second-to-none. While with any Business Intelligence tool you're going to have a learning curve, the main barrier to getting value from BI tools tends to be the steepness of the learning curve. Many BI tools have all the capabilities you'd need, but because there's never enough time to properly learn the tool, I'd argue most BI features wind up as 'shelfware'.

Tableau Desktop, however, has an elegant simplicity that makes it easier to come up the learning curve and start performing more advanced analyses more quickly. That was the main factor driving our decision. The reasonable pricing and very helpful sales process were added bonuses.
  • Implemented in-house
  • Self-taught
I would watch and learn from the online tutorials which were probably 75% comprehensive. There were still things we had to figure out around the edges, but just using online documentation and videos and following the examples was adequate. Any time the documentation is lacking, there's a vibrant online community at the ready, and some members even jump in to provide example solutions to problems!
Yes
They actively reached out after we purchased to make sure we were getting value from the software, and any time we had a question they were quick to respond.
  • Drag and drop of dimensions and measures
  • Styling of visualizations of all different types is easy
  • Assembling charts and graphs into composite dashboards
  • There are a few things that should be simple that are cumbersome like data blending can be painful to get right and details like totals on top of stacked bars
  • Formatting does not carry over from sheet to sheet and styles cannot be universally applied to a single visualization much less a dashboard -- lots of repetitive manual work to style things visually
Yes, but I don't use it
It is far better than Excel or other visualization tools, but some of the manipulations of data tables, visualizing underlying data, and more novel visualization methods (dragging dimensions to colors or shapes) behave a bit non-intuitively. The custom logic for field calculation could use a more robust script editor. The definition of multi-table SQL joins using the data import / query builder was pretty rudimentary at the time -- it was easier to create the desired extract or table subset as a set of temp tables or CSVs if the data required complex joins. But overall it is very usable.
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.
Using the desktop product, I never hit a bug or had a crash.
I was able to maniupulate 10-30 million rows of data on a Macbook Pro with 4GB memory running in a Parallels Windows XP VM and achieve response times of between 1 and 3 seconds.
  • MySQL Database
Simple and easy.
Yes
I have upgraded Tableau several times, since version 4 or 5, and most recently from 8.2 to 9.2.5. I've also migrated from the Windows version on XP to Windows 7, in both cases running in a Parallels VM on OSX, and eventually from the Windows version of Tableau to the Mac version.

Every time I've upgraded it has been completely seamless and I've never felt lost, experienced migration headaches or data loss. It's a real tribute to the quality of Tableau Desktop that every upgrade has been so quick and painless.
Score 10 out of 10
Vetted Review
Verified User
  • Tableau is being used to retrieve data from multidimensional relational databases, spreadsheets and from cloud databases and then to present the data in visual format to the users in Sales, Marketing, Operations and Finance.
  • Tableau is being used for analyzing sales metrics, capturing web data from customers and used for marketing analytics, reporting financial analysis data to senior management to visualize the performance of the company within a few minutes, instead of tedious report generating processes from other third party applications.
  • We started using the latest version 8.0 and many of the features that we would be using were included in the latest release 8.0. Did not come across any areas that the product does less well, but we are somewhat new to Tableau and still trying out many features.
Tableau is one of the best analytics tools on the market; it's easy to implement, and work with and has many capabilities that analytics professionals like to use. The licensing costs are much lower than for a few other vendors out there, and affordable even for small businesses.
Oracle OBIEE.

The primary factors for choosing Tableau were the licensing costs; ability to view data from multiple data sources; the ease of infrastructure to setup; and ability for users to create and maintain their own worksheets without the need for IT assistance.

With Tableau it allows us to mesh data from various data sources from Salesforce, Oracle, Web and Engineering servers.
Tableau is very easy to implement and work with. Typically the skill set required would be someone from the finance reporting analytics group or a business analysts to develop and implement the key dashboards.

Unlike some other tools that rely more heavily on IT resources, Tableau Desktop is easy to setup and configure and saves IT costs.
6
Finance, Support, Operations, Sales and Marketing, and IT
1
With some training many of the users can start using the desktop, but advanced training is recommended for users to take advantage of the various functionality that Tableau provides.

Analyst with technical background in data model and architecture proves to be an advantage when defining new data sources and how to establish connections to different data sources to pull the data into Tableau for analysis.
  • We would be developing additional dashboards for supply chain to measure their metrics.
  • Financial Analytics.
  • Marketing and Sales Analytics.
  • Operations Analytics.
  • Engineering and Web Analytics.
  • We had setup and developed database on Amazon RDS to store data from web analytics from the engineering servers, and meshed the data with CRM data in Salesforce to determine the potential customers for our cloud product.
  • We had to create custom functions for the ones that Tableau did not have, and created views in Oracle database and used that as a source to publish analytics on Tableau.
Yes
We had replaced Oracle's discoverer and some adhoc SQL reporting from SQL development tools.

Oracle discoverer had become outdated and did not have the functionality to publish dashboards. Users needed the ability to have dashboard capabilities to view, modify or update the worksheets on the dashboard instantly without the need for IT assistance.

Users now have the capability to view the published dashboards that were periodically synced with the latest data and had to just refresh the page to view the latest data rather than having to refresh the sheet in discoverer that usually took very long to view the data.
  • Price
  • Product Features
  • Product Usability
  • Product Reputation
  • Third-party Reviews
Product usability was one of the biggest feature in selecting Tableau. Unlike Oracle's BI Solution that required IT help and days to create dashboards and publish those, with Tableau the users with minimal help had experience to publish their dashboards with their respective data sources within hours.

Users were able to create their own interactive sheets and publish those sheets for their teams to review the data. Along with the usability the price was also the factor in the decision.
We would keep the similar process that we had used to evaluate, but probably would include some of the newer or other software that are out in the market.
  • Implemented in-house
Yes
We took the new software implementation approach.

We evaluated the BI products to replace discoverer and adhoc reporting, and concentrated on financial reporting as the intial phase. We gathered the requirements for the financial reporting dashboard, and mapped the requirements with the Finance team. We had then designed the data model and views in Oracle, and had setup the data source on Tableau. Created the sheets and dashboard and published on the test instance of Tableau to review and refine the dashboard and finally had migrated the setups to the production instances.

We used the similar approach as above to publish dashboards for Sales and Marketing, Support cases and Engineering data.
Change management was a big part of the implementation and was well-handled
With the experience with Change management we had been using within CRM and ERP implementations, we had rolled the change management for Tableau as well and was well-handled.
  • There was nothing major during the implementation, except Tableau had launched the newer version of the desktop and server during the implementation that had us upgrade and re-setup some of the configurations.
Installing the desktop was very easy. We downloaded the installation and went through the installation video prior to installation and then implemented it. I would recommend watching the online installation video prior to installation.

Tableau also has a user forum with most active and enthusiastic users out there who are always willing to help, and that would be a good source finding some key insights.
  • Online training
  • Self-taught
The training documents that are available online are very detailed and interactive. The instructors were very clear and concise in their presentations and demos and it was very easy to understand.
It would be better to have some training before starting to work with the tool. There are many advanced features available and they are all explained in the training videos and online documentation.

I would recommend going through the basics and then, once installed, it would be beneficial to go through the advanced training sessions and try them out.
Configurability is just right for now and is good for regular business users who would like to create their own sheets and reports, and does not need extensive technical skills to get off the ground with the usage.
No - we have not done any customization to the interface
No - we have not done any custom code
We experienced good and fast response from the account manager, and Tableau employees are open and enthusiastic to answer questions on the technical forum.
No
We ran into an issue with the Oracle driver for 64 Bit server when setting up the connection to our Oracle database, and when posted a question to the support they were able to provide the immediate reply with the correct driver to use.
Yes
Its pretty simple to use for users to navigate through the desktop, and Tableau does provide templates for users to start developing their sheets.
We are currently hosting Tableau server ourselves and is easy to maintain. With the ability to connect to many data sources and probably with Tableau adding new ones it would just be as easy as setting the new data source in the future.
  • Salesforce
  • Oracle E-Business Suite
  • Amazon RDS
  • Internal MySQL Engineering databases
Tableau provides native connectors to integrate and are simple to setup but would need some technical help to setup the connections.
  • NetSuite
  • File import/export
  • Single Signon
  • ETL tools
ODBC connector for Oracle
Tableau has native connectors that make the integrations easy.
The salesrep was easy to deal with and was approachable during the purchase process and had provided the necessary information we had requested.
Our salesrep had followed up about the newer release upgrades and was easy to add additional licenses we needed.
Yes
The upgrade was seamless and was able to upgrade with minimal downtime. The only issue is that every user with the Tableau desktop license had to upgrade as well. It would be nice to have an auto upgrade feature for the desktop as well.
  • We were able to use some of the additional functionality that came with the upgraded release that we saw limitations when developing sheets in the previous releases.
  • We would like to see added functions within Tableau that would allow us to display the data without having to create custom objects in source database and pull the data into Tableau.
  • We would like to see some temp table creation in Tableau to have perform calculations against the data and display the data without having to create the calculations in the source database.
Yes
We had used Trial version to evaluate the software and then upgraded to Enterprise when we decided to purchase. The change was seamless and did not impact any downtime nor any functionality changes.
No
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