Tableau server is used across multiple departments, with the bulk users in our reporting and finance department.
It allows end users to see …
Customizable dashboards (92)
Drill-down analysis (93)
Multi-User Support (named login) (91)
Formatting capabilities (91)
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Entry-level set up fee?
- No setup fee
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Tableau Server is an enterprise analytics platform that aims to be easy to deploy and scale and help enable data-driven decision making throughout the user's organization.
Customers can deploy the way that makes the most sense for their organization - on-premises or in the cloud, on Windows or Linux, while integrating with their existing security and authentication protocols. Customers can provide governed data access while promoting sharing and collaboration with data, dashboards and insights. Customers can automate processes and workflows, manage content, define access for individual users and groups, and ensure accurate insights. Tableau Server gives customers visibility, security and controls that aim to help them empower their people with data.
Tableau's goal is to help people and organizations become more data-driven. With an integrated platform that 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.
- Supported: Administration via Windows App
- Supported: Administration via MacOS App
- Supported: Administration via Web Interface
- Supported: Live Connection to External Data
- Supported: Snapshot of External Data
- Supported: In-memory data model
- Supported: Multi-Data Source Reporting (Blending)
- Supported: MS Excel Workbooks
- Supported: Text Files (CSV, etc)
- Supported: Oracle
- Supported: MS SQL Server
- Supported: IBM DB2
- Supported: Postgres
- Supported: MySQL
- Supported: ODBC
- Supported: Cloudera Hadoop
- Supported: Hortonworks Hadoop
- Supported: EMC Greenplum
- Supported: IBM Netezza
- Supported: HP Vertica
- Supported: SAP Hana
- Supported: Teradata
- Supported: Salesforce
- Supported: SAP
- Supported: Google Analytics
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Versioning
- Supported: Report Delivery Scheduling
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Location Analytics / Geographic Visualization
- Supported: Predictive Analytics
- Supported: Support for Machine Learning models
- Supported: Pattern Recognition and Data Mining
- Supported: Integration with R or other statistical packages
- Supported: Multi-User Support (named login)
- Supported: Role-Based Security Model
- Supported: Multiple Access Permission Levels (Create, Read, Delete)
- Supported: Report-Level Access Control
- Supported: Single Sign-On (SSO)
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
- Supported: REST API
- Supported: iFrames
- Why IT professionals choose Tableau for modern BI and analytics - Features and capabilities aren't the only aspects of a modern BI platform that offer value in your analytics investment. It's also critical when evaluating modern BI solutions to understand how the mission, philosophy, and community that surround your analytics platform contribute to lasting customer success and data-driven enterprise transformation. Read this whitepaper to learn how Tableau offers the greatest flexibility and choice in deployment, unmatched analytical breadth and depth for users of all skill levels, and the most passionate community of data enthusiasts, making Tableau the industry-leading choice for modern analytics.
- Governed self-service analytics at scale - Today’s organizations seek an approach to self-service analytics that balances the needs of both IT and the business. People in your organization are already using tools to answer their questions. So how do you take charge and enable self-service analytics while also making sure the data is governed, trusted, and secure?
|Deployment Types||On-premise, SaaS|
|Operating Systems||Windows, Linux|
|Mobile Application||Apple iOS, Android, Mobile Web|
|Supported Languages||English, French, German, Spanish, Brazilian Portuguese, Japanese, Korean, Chinese|
- extract refresh schedule
- subscriptions to workbooks & Dashboards
- download data in crosstab
- download workbook as image, pdf, twbx
- permissions should flow from primary folder if changes are made later.
- download pdf content doesn't have scroll bar it just takes snapshot leaving some data
- data cache issues should be resolved
- It always available and allows us to make it easy for users outside of the building get their BI info.
- It's easy to manage and takes very little daily or monthly maintenance.
- The subscription service really helps users stay on top of things with their alerts.
- Doesn't send out PDF versions of the dashboards.
- Tabcmd is old and needs to be updated to a visual client.
- It is sometimes slow opening dashboards and the new data methodology hasn't proven the improvement as promised.
- Is well suited at deploying BI dashboards to any audience that has a license.
- It not good at servicing users outside of the license for one-off reporting. Microsoft BI does this very well.
- It's pretty
- Installs easily
- Impresses decision makers
- Support is costly and practically nonexistent
- Their windows server application is fragile
- Product not well designed for multitenant architectures
- Licensing is convoluted in ways
Support barely exists at the "standard" (5 figure) price point. The SLA's are terrible. They won't help you expediently in an outage scenario. Their approach to any server problem appears to be "ask them for logs until they solve the problem themselves". For functionality questions they're somewhat useful, but it'll take you a few rounds (over 2 weeks) to get the answer you need.
Prices for better support are around the same as a full-time professional.
- Data visualisation.
- Worksheets, Stories, Dashboards different tabs are a bit cumbersome.
- Limitations with Tableau Online.
- Connection to different data sources
- Creating meaningful visualization
- Advanced Analytics
- Tableau server can incorporate more AI visualization
- Errors in visualization can be highlighted quickly
- ETL capabilities can Ben enhanced
- Visualization of data in multiple formats
- Concisely present information in a dashboard
- Allow multiple users to access the same reports simultaneously
- Sometimes the functionality related to formula entry is difficult
- You have to create multiple data sheets to create one dashboard
The formulas are sometimes difficult to enter into tableau and that restricts some analysis to be performed.
Visualization within tableau is the best but the trend line graphs are not great
- Simple deployment method.
- Easy to navigate interface.
- Server administration is cumbersome.
- Recent changes (after 10.x) have required rewriting of admin scripts.
- Cumbersome licensing management.
- It's part of the Tableau ecosystem of products.
- Easy connectivity to Tableau Desktop.
- Easy installation.
- Slow, even with a solid server running it.
- Overly complicated.
- Still not 100% sure why I need it in the first place.
- Easy to install and to set up
- Navigation is a breeze
- Security settings are great
- Better alert scheduling
- Cheaper licences cost
Tableau server is used across multiple departments, with the bulk users in our reporting and finance department.
It allows end users to see more comprehensive/dynamic reports versus what we used. Our clients are now asking for access so they can start looking at reports that we have created.
- It provides easier reporting for end users
- It allows for better comprehensive reporting
- It allows us to connect to multiple sources with one product
- Desktop should not allow updates unless server is updated first
- Need a better management tool that doesn't take a long time to start-up
- Better documentation online
- It can gather data from various sources and combine it in one place for users to view and use the data.
- Visualizations created by Tableau can be easily modified and updated by users.
- Tableau Servers can provide daily reports that are up to date, along with dashboards that can provide real-time data.
- Tableau Server needs to provide more options to modify and update user-friendly dashboards.
- Tableau Server can be expensive for a company.
- Tableau Server sometimes takes a long time to load reports with a lot of data.
- Integrating with APIs, and also on webpages.
- Version controlling of Workbooks.
- Provides high-level security to the dashboards. It is completely isolated with other users who don't have access.
- Adoption of AI [Artifical Intelligence].
- More options for dashboard management in server.
- Sharing an interactive dashboard with another environment is the missing factor.
- Tableau Server is extremely well at providing a stabile system for us to host data sources and dashboards
- Tableau Server is great at managing permissions for users, data sources, workbooks, and dashboards
- Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix
- Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with
- It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
- Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
- Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
- I think the UI of how projects and folders within projects are managed could use some improvement. The organization is pretty straightforward, but it's designed for a large amount of content. Accessing a simple dashboard from one published workbook requires clicking into a Project then clicking into the dashboard to actually see the content. It's hard to describe without seeing it, but it always feels like there was an extra, unnecessary click. Seems minor, but this is an annoyance I and my colleagues face many times through the day.
- There seems to be some formatting issues between what's built in Tableau Desktop (TD) and Tableau Server (TS), e.g., if I format some filters over a background in TD, they show up very legibly with the background as white against the color background. But when published the same filters could have the color of the background and no way to change it to white, and the font has less contrast for some reason. Seems minor, but it wastes a lot of time retrying then re-publishing just to get something to work as expected. The view in TD should be exactly the same as TS.
- As far as I can tell, there's no way to put a clone of a certain dashboard into multiple projects/folders and have any updates propagate to those clones. Also as far as I can tell, there's no feature that tracks where the same dashboard has been published in multiple places. That means if I have a dashboard that I need to show in multiple places so those teams can access it in their native location with their other content contextual to them, I have to maintain a record of all the places I've published and re-publish to all whenever updates are made. And if it turns out the solution is there in the product, then the UI is clearly pretty dense because I haven't found it whereas this was an intuitive setting to find on a competitor BI tool I have used. I think this should be improved in the product since it's often necessary to manage the same content across multiple locations so various teams are accessing their single location relevant to them.
Tableau is used by data scientists to present data to managers and executive. It has a storytelling approach that facilitates the understanding of data and eases the decision-making process.
- Tableau server's portal and general look is really convenient and pretty. Users feel comfortable using it.
- The learning curve of Tableau Server from an end-user perspective is really short. For the creator of content, it is a little more complex but easy to learn. Tableau has really succeeded in creating a user-friendly software.
- From an administration point of view, Tableau is great. Installation and housekeeping are really easy and quick.
- Visuals are really appealing and will help "sell" your presentations.
- Tableau allows connectivity to a huge selection of data sources and data formats.
- Online training for software is free and of very good quality.
- Tableau doesn't (at least when I used it) have custom widgets or elements in the creation of dashboards. Its main competitor, Power BI, allows this. Because of that, some visualizations are challenging and need the use of advanced tricks that most users don't know about.
- Tableau logs a lot of information, and sometimes, getting the right information from these logs when something goes wrong is challenging.
- Tableau support is not the quickest. This sounds bad, but I have to specify that I very rarely had to contact them. However, when I did, the answer took a few more days than with other providers.
In an environment where you have a lot of creators, the use of a server might not bring a lot of benefits, because creators using the desktop version can open and modify other people's dashboards.
- Tableau is perhaps the most aesthetically pleasing software to create beautiful visualizations that get updated in real-time. I wish this software had been around 20 years ago.
- Tableau Server makes sharing visualizations across the organization seamless. I don't think I could do my job without it.
- Tableau Server is used to create interactive daily reports, updated automatically and in an interactive style.
- Tableau Server is sometimes referred to as simply Microsoft Excel with a power boost. I understand the reason analysts say this. It is because the software is almost exclusively a visualization software. If you're looking for truly advanced analytics combined with cutting-edge visualization, Tableau Server isn't it.
- Tableau Server limits the type of graphs a user can create. There are numerous workarounds for different graph types, but they are not easy to implement.
- Tableau Server can sometimes be slow to render graphics with lots of data and calculated fields.
Tableau has proven to be a great tool for the collection of data from multiple data sources, with varying complexity -- we used spreadsheets, SQL tables as well as Google Analytics connection. The tool was a standard platform in a multinational organization and was used for years, so the data was already linked, including the local eDWH solution, providing support for regular as well as ad-hoc reports.
- Many available plugins, incl. the one I have used for regional analysis (data enriched with addresses / GPS attributes)
- Narratives (story building) is a great tool for creating and sharing your analysis with your audience
- Data visualization is one of the best you can get today
- Supports mobile usage
- Connection to SQL database: by connecting it to a database, one has to employ an SQL specialist to write the script
- No autosave function
- No automatized notification feature (e.g. alert based on value out of range, in a report)
- Very expensive solutions
It is a great tool for any ad-hoc analysis that has to deliver an interactive story to management (client), it will not only deliver nice visualizations, but will also allow for drill-downs to the primary data and proof for your audience that your numbers in the presented graph are correct
- Very well organized.
- Menus are clear to understand.
- The product works without issues.
- Their technical support sometimes doesn't understand the issues.
- One technician may know the product very well and another technician may not know the product well enough and has to engage a different team.
- Their licensing is very strict, doesn't give me many options and if you run into any issues, you have to contact the licensing team via email and only email.
- It's extremely intuitive to use the visualizations. Users can manipulate and construct meaning and additional questions from the data quickly.
- Tableau is very flexible -- it's completely data source agnostic. It will take data from any source.
- Our development team learned it very quickly.
- While it took little time for our data analysts to crank out visualizations, it did take some time(longer than I expected) for our technology operations team to configure the server to share the sizes.
- The server update process is rather cumbersome -- requires a full uninstall/re-install.
- Again, while it took our data analysts next to no time to start creating, I've been in other organizations that have struggled with the feature-rich interface and complexity of the Tableau client. So, it requires the right personnel, with dedicated time, to fully leverage the tool.
- It is able to extract data very efficiently, as compared to extracting data on one's personal machine
- It is able to handle a large quantity of content and traffic to the reports hosted on the server
- It is fairly self-sustaining and doesn't require too much maintenance, though it is hosted in our own environment.
- Some of the metrics and data relevant to Tableau Server are difficult to get to, and it would be super insightful if it was more accessible and readily available to users trying to report on it
- Access from any device
- Worksheets can be managed online
- Can change and visualize new stuff
- Easy to use
- Public server gives first few lines free of charge
- Free lines are limited to 10 million per single connection
- Premium is expensive
- New data sources cam be published from Tableau Desktop
- The installation, upgrading and migrating to new hardware is straightforward
- The Tableau Server admin can adjust the server processes to make it tailor-fit for the organization, hence increasing the dashboard and query performances.
- The core-based licensing and user-based licensing of Tableau Server is very useful based on the required scenario.
- Support for Exasol Data Connections in Tableau Server for Linux.
- Publish Document Covering Tableau Server Architecture on 2018.2 with HA environment.
- Improve historical reporting for extract schedules on Tableau Server.
- Tableau Server is compatible and flexible in terms of data connection and usage.
- Tableau Server has the option of configuring on-site or cloud, which is excellent.
- Tableau Server is economical and easily adaptive in nature.
- Tableau Server could be made more flexible in terms of data connection and ease of use in terms of documenting.
- In Tableau Server, the workbook folder itself should be made available with share options to web embed.
- Groups should be enhanced with more test case scenarios so organizations can easily follow the protocols.
- Allows for aggregation across multiple systems
- Allows reports and dashboards to be self serve for end users
- Allows for ad-hoc reporting
- Initial setup of data sources can be time consuming.
- Some native connectors didn’t work as well for us like Salesforce. We had to build our own ETL process.
- Setting up permissions originally was burdensome.
- Very easy to create neat visualizations in a professional way.
- Easy to publish workbooks to Tableau server for global access
- Different ways to group and slice the data
- Custom SQL are not intuitive when dealing with Cloudera connections
- Simple data tables are harder to create than complex visualizations
- Large extracts are not very performant
- Cubes are not supported on Tableau
- Group aggregates and stacked charts are some of Tableau's better visualizations.
- Simple data sums and data points are not well suited for Tableau