Overview
What is Tableau Server?
Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center,…
An experienced general review for Tableau Server
The WORST company to do business with
Data Analytics with Tableau
Laddy's Tableau Server Review
Pretty. Unstable product + poor support = operations nightmare.
Tableau Server is a world class product
Tableau - Great Visualization at ease
Tableau to the rescue
Tableau - Good Viz, Poor Admin
Failed to meet expectations
Great product but not Cheap
Reviewing Tableau Server
Tableau server is used across multiple departments, with the bulk users in our reporting and finance department.
It allows end users to see …
Tableau Server Review
Tableau Server for Sharing and collaboration of Dasboards
Tableau Server is a great tool for small, medium, and large companies
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
- Customizable dashboards (94)9.494%
- Drill-down analysis (95)8.787%
- Formatting capabilities (93)8.484%
- Multi-User Support (named login) (93)7.373%
Pricing
Viewer
$12.00
Explorer
$35.00
Creator
$70.00
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Tableau Server | How to Restore a Backup
Tableau Server | How to Backup Server
How Tableau Works | Tableau Tutorial for Beginners | Tableau Server Online Training | Intellipaat
Installing Tableau Server 10.5 on Linux
Features
BI Standard Reporting
Standard reporting means pre-built or canned reports available to users without having to create them.
- 9.1Pixel Perfect reports(29) Ratings
Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.
- 9.4Customizable dashboards(94) Ratings
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
- 9.3Report Formatting Templates(81) Ratings
Ad-hoc Reporting
Ad-Hoc Reports are reports built by the user to meet highly specific requirements.
- 8.7Drill-down analysis(95) Ratings
Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.
- 8.4Formatting capabilities(93) Ratings
Ability to format output e.g. conditional formatting, lines, headers, footers.
- 8.9Integration with R or other statistical packages(59) Ratings
Integration with the open-source R predictive modeling environment.
- 9.4Report sharing and collaboration(89) Ratings
Report sharing and collaboration is the ability to easily share reports with others.
Report Output and Scheduling
Ability to schedule and manager report output.
- 9.5Publish to Web(85) Ratings
- 9.2Publish to PDF(84) Ratings
- 8Report Versioning(70) Ratings
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
- 7.4Report Delivery Scheduling(77) Ratings
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
- 5.1Delivery to Remote Servers(9) Ratings
Ability to deliver reports to remote servers
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.
- 8.8Pre-built visualization formats (heatmaps, scatter plots etc.)(86) Ratings
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
- 8.8Location Analytics / Geographic Visualization(85) Ratings
Location analytics is the visualization of geographical or spatial data.
- 7.7Predictive Analytics(64) Ratings
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Access Control and Security
Access control means being able to determine who has access to which data.
- 7.3Multi-User Support (named login)(93) Ratings
Named model access means that users have access based on name and password.
- 7.3Role-Based Security Model(90) Ratings
Role-based access means that access to data is determined by job or position in the corporation.
- 7.3Multiple Access Permission Levels (Create, Read, Delete)(92) Ratings
Multiple access permission levels means that different levels of users have different rights.
- 7.3Single Sign-On (SSO)(62) Ratings
Allows users to use one set of login credentials to access multiple applications
Mobile Capabilities
Support for mobile devices like smartphones and tablets.
- 7.1Responsive Design for Web Access(77) Ratings
Web design aimed at producing easy-to-read sites across a range of different devices.
- 7Mobile Application(61) Ratings
A dedicated app for iOS and/or Android.
- 7.7Dashboard / Report / Visualization Interactivity on Mobile(68) Ratings
In-app dashboard reports and data visualization.
Application Program Interfaces (APIs) / Embedding
APIs are a set of routines, protocols, and tools for used for embedding one application in another
- 9REST API(40) Ratings
REST is an architecture style for designing networked applications
- 9.1Javascript API(37) Ratings
A Javascript API is a type of API
- 9.1iFrames(40) Ratings
An iFrame is an HTML document embedded inside another HTML document on a website
- 5.5Java API(7) Ratings
A Java application programming interface (API) is a list of all classes that are part of the Java development kit (JDK)
- 6.1Themeable User Interface (UI)(9) Ratings
A themeable user interface means that a specific visual them can be applied to it
- 4.6Customizable Platform (Open Source)(7) Ratings
A customizable, open source API Gateway is a fast and scalable type of API
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Tableau Server?
Tableau Server is an enterprise self-service analytics platform that supports 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. It includes automated processes and workflows, and users can define access for individual users and groups.
Tableau Server Features
BI Platform Features
- 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 Data Sources Features
- 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
BI Standard Reporting Features
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
Ad-hoc Reporting Features
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
Report Output and Scheduling Features
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Versioning
- Supported: Report Delivery Scheduling
Data Discovery and Visualization Features
- 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
Access Control and Security Features
- 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)
Mobile Capabilities Features
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
Application Program Interfaces (APIs) / Embedding Features
- Supported: REST API
- Supported: Javascript API
- Supported: iFrames
Tableau Server Screenshots
Tableau Server Integrations
Tableau Server Competitors
Tableau Server Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows, Linux |
Mobile Application | Apple iOS, Android, Mobile Web |
Supported Countries | Worldwide |
Supported Languages | English, French, German, Spanish, Brazilian Portuguese, Japanese, Korean, Chinese |
Tableau Server Downloadables
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(877)Community Insights
- Business Problems Solved
- Recommendations
Tableau Server has become an essential tool for organizations across various industries, offering a wide range of use cases that have proven valuable to users. Its ability to transform complex data into user-friendly visualizations has been particularly beneficial in emergency preparedness analytics within the healthcare sector. Additionally, dedicated analysts have utilized Tableau Server to create and deploy dashboards that are accessible to all employees, serving as the main repository for reporting needs. This versatility extends beyond healthcare, with organizations from IT to Human Resources leveraging the platform to address key issues such as device availability, performance tracking, and enterprise reporting.
Marketing teams have also found value in Tableau Server, using it to gain a better understanding of their customer base and track product ownership and usage trends. The platform's storytelling approach has been especially valuable for data scientists who use Tableau Server to present data to managers and executives, facilitating understanding and supporting decision-making processes. Furthermore, Tableau Server has been integrated into third-party applications and platforms such as Microsoft SharePoint, making it a convenient one-stop-shop for reporting needs.
Tableau Server's ease of maintenance from an administrator level and seamless integration with Active Directory for user permission management have made it a preferred choice for many organizations. It fosters secure and controlled sharing of work done by Tableau Desktop analysts and developers, enabling real-time data visualization and monitoring across the organization. This has led to increased adoption and expansion of its usage in various departments such as Finance, Supply Chain, and HR.
Overall, Tableau Server's ability to store, visualize, and share information effectively has provided organizations with leverage over other systems. Its versatility and ease of use have made it a trusted platform for reporting and analytics needs across different industries, enabling self-service analytics, cost savings through improved tracking capabilities, enhanced customer experience operations, and centralization of reporting.
Tableau users commonly recommend seeking advice from Tableau representatives to determine the best licenses for their needs. They also suggest optimizing data flows and extract refreshes from the beginning. Additionally, users emphasize the importance of being specific when setting up reports to avoid incorrect data. For example, providing clear filters and selecting the appropriate dimensions and measures ensures accurate results. Another tip is to utilize Tableau's training resources and attend user groups and conferences for additional tips and tricks on using Tableau effectively.
Attribute Ratings
- 10Likelihood to Renew20 ratings
- 9Availability9 ratings
- 8.1Performance8 ratings
- 5.4Usability17 ratings
- 3.4Support Rating18 ratings
- 9Online Training9 ratings
- 8In-Person Training4 ratings
- 9.1Implementation Rating13 ratings
- 8Configurability1 rating
- 9.5Data Visualization2 ratings
- 6.7Data Sources83 ratings
- 5.1Data Sharing and Collaboration80 ratings
- 8.2Tableau Server Integration55 ratings
- 8.6Tableau Server Governance55 ratings
- 8.1Tableau Server Supporting Resources55 ratings
Reviews
(1-3 of 3)Tableau Server is perfect for real-time visualization and interactive dashboards, not for advanced analytics
- 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.
- Customizable dashboards
- 90%9.0
- Report Formatting Templates
- 90%9.0
- Drill-down analysis
- 100%10.0
- Formatting capabilities
- 90%9.0
- Integration with R or other statistical packages
- 90%9.0
- Report sharing and collaboration
- 100%10.0
- Publish to Web
- 100%10.0
- Publish to PDF
- 100%10.0
- Report Versioning
- 100%10.0
- Report Delivery Scheduling
- 100%10.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 90%9.0
- Location Analytics / Geographic Visualization
- 90%9.0
- Predictive Analytics
- 50%5.0
- Multi-User Support (named login)
- 80%8.0
- Role-Based Security Model
- 80%8.0
- Multiple Access Permission Levels (Create, Read, Delete)
- 80%8.0
- Single Sign-On (SSO)
- 80%8.0
- Responsive Design for Web Access
- 70%7.0
- Mobile Application
- 80%8.0
- Dashboard / Report / Visualization Interactivity on Mobile
- 90%9.0
- REST API
- 80%8.0
- Javascript API
- 80%8.0
- iFrames
- 80%8.0
- Tableau Server has replaced Excel spreadsheets in much of what I do. The software really did save a ton of time and improved the overall work product. I think the ROI has been heavily in the positive.
- For analysts trying to get others to improve their reporting processes, Tableau Server may at first represent a negative ROI because others are unwilling to change. If you're unable to get others to change their habits, Tableau Server may not be for you.
- Tableau Server was easy to set up. The required headcount was as little as 1 for report creation. It's very easy to get up and going with Tableau Server.
- The "Show Me" visualization is awesome.
- The drag and drop is easy.
- Customizing Tableau is about as easy as it gets.
- Making calculations is Tableau Server is sometimes very difficult.
- Customizing Tableau Server for a very specific graphical display can sometimes be very, very time-consuming.
- Tableau Server sometimes takes a good deal of time to update.
Usable Analytics for the Right Price!
- Summarize complex data in an easy to understand format.
- Very fast idea/need to realization timelines.
- Ability for end users to interact with data sets, giving them filters, groupings and other tools to get the data they need.
- Tableau's mapping capabilities are "almost there". We would love to have Tableau able to function as our sole GIS product. Each version of Tableau brings us closer to that goal.
- We would like to have the ability to schedule data transfers. The new Data Prep tool is step in that direction.
- We still have need to produce lists of summarized data. Making this process a little more straightforward would be nice.
- Customizable dashboards
- 100%10.0
- Report Formatting Templates
- 100%10.0
- Drill-down analysis
- 100%10.0
- Formatting capabilities
- 100%10.0
- Integration with R or other statistical packages
- 70%7.0
- Report sharing and collaboration
- 100%10.0
- Publish to Web
- 100%10.0
- Publish to PDF
- 100%10.0
- Report Versioning
- 90%9.0
- Report Delivery Scheduling
- 70%7.0
- Pre-built visualization formats (heatmaps, scatter plots etc.)
- 100%10.0
- Location Analytics / Geographic Visualization
- 80%8.0
- Predictive Analytics
- 70%7.0
- Multi-User Support (named login)
- 90%9.0
- Role-Based Security Model
- 90%9.0
- Multiple Access Permission Levels (Create, Read, Delete)
- 90%9.0
- Single Sign-On (SSO)
- N/AN/A
- Responsive Design for Web Access
- N/AN/A
- Mobile Application
- 100%10.0
- Dashboard / Report / Visualization Interactivity on Mobile
- 100%10.0
- REST API
- N/AN/A
- Javascript API
- N/AN/A
- iFrames
- N/AN/A
- We believe that our deployment of Tableau Server has had a large positive ROI for emergency preparedness. While not formally calculated, we have done comparisons with other leading analytics vendors, and there is no competition - Tableau Server is clearly the value leader.
- The major contributor to our positive ROI has primarily been the time to deployment and the time to adoption for critical visualizations and dashboards.
- Easy access to critical resource dashboards in one environment. Tableau combines data from multiple applications into one dashboard to monitor resource utilization in user-defined areas and user-selected hospitals.
- Dashboards that allow staff to interact with certain data sets, using the powerful visualization tools in Tableau.
- Data-driven maps that allow trauma network managers to identify appropriate hospitals based on the trauma location and service status within user-defined areas.
- Data maps include hospital status details in a pop-up when hovering over the map point.
- We have been able to extend the functionality of the mapping capabilities of Tableau beyond what is normally available. Using data-based calculations, we have been able to provide end-user interactive capabilities to specify location areas and hospital resources.
- We are able to use Tableau for data listings that enable us to manage compliance with other vendor usage limitations.
- We are able to use Tableau to identify duplicates in databases. This allows staff to keep databases current and error-free.
- We would like to expand the use of Tableau's mapping functionality.
- We would like to extend the use of the Tableau mobile app by our regional coordinators.
- We are working at automating and pushing visualization updates to other applications.
- Cost effectiveness. This persists from year-to-year. Tableau consistently gives us the best value for the cost
- Reliability. Tableau server has been rock-solid for our users, particularly during emergencies.
- Innovation. You can bet that Tableau will release stable new versions on a regular basis.
We have often experienced the need for a function in Tableau that will be included in a future release.
- Price
- Product Usability
- Analyst Reports
- Third-party professional services
- User acceptance. This was really an issue of providing training and showing how regional coordinators managing hospital resources could use Tableau.
- There were no other significant issues. The implementation went smoothly and timely.
- Dragging and dropping data variables to quickly and easily create visualizations
- Tableau's "Show Me" function that suggests visualization types based on the data source.
- Easily mapping data that doesn't have latitude/longitude in the data set. Tableau can use county and/or zip code to quickly provide a map of the data.
- The mapping function in Tableau continues to improve, but it can't accommodate the use of layers as data filters just yet.
- Tableau is not really meant for the generation of lists from data. We've found ways to do it, but it takes someone with technical skills.
Tableau 8 Review
- The advances in computer CPU and Memory have left most software titles behind. Tableau Server 9 took the first step toward leveraging the advances in computer hardware. From leveraging multi-core CPUs to parallel request processing, the performance improvement will be noticeable to all Tableau Server 8 users.
- Previous Tableau Server versions have suffered from an ability to be categorized as Enterprise Ready. Tableau Server 9 improves on this gap in the following areas. Improved cluster configuration, a new Cluster Controller, standby Repository capabilities and a new File Store process which resolves the previous restrictions on the number of Data Engine Nodes allowed in a cluster.
- The web interface of Tableau Server 9 has been totally overhauled in an effort to boost access to dashboards. The new interface accomplishes this through an improved workflow, easier access to resources and an improved management interface. Tableau Server 9 presents the user with entry points to the main features of Tableau server in one screen, not a trivial accomplishment. In my opinion, well designed user interfaces invite users to explore. Tableau server 9 excels at this.
- Tableau Server 9 has a lot of room to improve it's Administrative Views. For Tableau to be such a powerful Data Visualization engine, the Administrative Views out of the box have much to be desired.
- Tableau Server 9 would also benefit greatly from an enhancement to it's dashboard scheduling and distribution capabilities.
- Tableau Server 9 would also benefit greatly from threshold alerting. This would deliver actionable insight as opposed to just insight.
- What is the Total Cost of Ownership for On-Prem versus Cloud (is available)?
- What is the average time to market for an organization of relative size?
- What is the learning curve for Excel users?
- Is the solution ideal for the technical elite or can it be used by non-technical business analysts?
- How does a Self-Service implementation model look?
- This is quite simple. From my perspective, time to insight is measured in the man hours it takes to connect to data, begin exploring the data and finally sharing insights with peers and decision makers. The rate of return is immediately quantifiable and undeniable unlike any other Data Visualization offering I've tested.
- Hierarchies in data are another immediate exercise that has consumed major resources, from a Data Warehouse perspective, that can easily be implemented by non-technical analysts on the fly.
- Blazingly fast proto-typing. For customers who really don't know what they don't know, my experience has proven that the sooner you put visual results using real data in front of the customer, the more likely you are to avoid low production adoption.
- Optimize the consumption of enterprise data warehouses. In most large organizations, the enterprise data warehouse is where most of the companies information assets can be accessed for consumption. However, one of the common stumbling blocks is the overwhelming volume of data. Tableau Server can prospectively be a solution to assist in this area. With regularly scheduled data extracts, Tableau server delivers optimized timely data important to the user.
- Data Discovery - I'm almost embarrassed to acknowledge the number of reporting or BI projects I've participated in where neither he customer nor IT really had a handle on the data sources required to be successful. Tableau is an excellent tool to use to understand and discover insights about UNKNOWN data in advance of establishing requirements for reporting or BI projects. Being able to easily perform data discovery exercises on UNKNOWN data sources really empowers analysts to proactively contribute to requirement gathering and agreement on BI project deliverables. In addition, with Tableau data discovery is almost effortless and doesn't require building new data structures to discover the ins and outs of new data sources.
- Proto-typing - If I had a buck for every customer that agreed to a report mock-up only to change their mind once the mock-up contained LIVE data. After a few trips around this bush it became clear that proto-types are really only as good as they are close to the finished deliverable. Tableau helps users quickly deliver near-to-prod proto-types using real data without having to build new data architectures for BI projects.
- Rapid Insight - Speed to Insight is the differentiator of the next 50 years. Tableau empowers users to easily and quickly connect to the data important to them in order to discover insights not seen in Excel like or static historical reporting.
- Optimizing Tableau Workbooks - It seems rather circular, but it's true. Tableau Server inherently empowers users with the tools to test, validate and tune the performance of their dashboards. This is yet another unsung feature of Tableau. Many BI suites require engaging DBA, server hardware, network and architecture professionals to performance tune BI solutions. Tableau empowers the user with this ability right on their desktop and on Tableau Server.
- Parameters - Using parameters on Tableau Dashboards we were able to deliver Dashboards that were configurable at run-time by those accessing Dashboards via Tableau Server. Bi solutions have possessed the ability to filter Dashboard content for many years now, however, presenting a totally different visualization on the same Dashboard using parameters, this is a first to my knowledge.
- Price
- Product Usability
- Implemented in-house
- Self-taught
- Deploying Dashboards to Tableau Server - Once a Tableau Author produces the final version of a Dashboard, publishing the Dashboard to the server for mass consumption happens in a few clicks. Intuitive and not overly complicated. The advanced publishing features (refreshing extracts and security) require training, but even these features are easily understood.
- Dashboard Search - Tableau Server 8 includes empowers with a search feature that makes it easy to locate Dashboards important to the user.
- Online Dashboards Analysis - The new Dashboard Edit feature available with Tableau Server 8 is unprecedented and unique among BI suites. The ability for a user to create custom views of a published Dashboard is phenomenal. How many analysts have seen a report and wanted to ask additional questions based on the results on a Dashboard? This feature empowers the user to ask deeper questions of any Dashboard right in the web browser without having Tableau Desktop installed on their computers.
- Shared Data Sources - Tableau Server offers a capability known as Shared Data Sources. These are commonly referred to as Symantec Layers in traditional BI circles. However, in Tableau Server, these can be pure symantec layers or actual Tableau Data Extracts optimized for data analysis. This prevents IT from repeatedly having to make data extracts available to business users. In addition, this feature also is an added bonus when used with existing information systems. Instead of creating yet another data mart, Tableau Server administrators can deploy shared data sources that maximize the investment in existing information systems as opposed to moving and duplicating data.
- NONE
- Teradata, SQL Server, SaleForce.com, Google Analytics, Microsoft Excel, ODBC data sources
- No