Reviews (76-97 of 97)
- We have a quality department responsible for gathering large volumes of quality data (are the correct medications being dispensed at the correct time, etc). This department had been using Excel spreadsheets to create visualizations of the data for sharing with other parts of the organization. The switch to Tableau allowed this team to build excellent visualizations much more quickly and easily. It essentially reduced the required cycle time form 30 days to 5/6 days. The tool is also used by other hospital departments like epidemiology.
- Tableau made it possible to offer a self-service BI solution. We really wanted to have a BI / visualization solution that empowered the end-users to do their jobs as well as possible without having to involve the IT department. Tableau democratizes the visualization process by allowing users to build the visualizations they need with no IT assistance required.
- The Tableau Server UI is quite basic. It's a drag-and-drop metaphor which is very easy to understand by end users. The design enables users to do what they need to do with a minimum of complication and clutter.
- New releases tend to very substantive with lots of new features rather than just bug fixes. For example, upgrading to Version 8 provided us with 10 new pre-built visualizations and some statistical tools that customers had been asking for. They are very good at listening to their user base.
- Product is quite affordable compared to some competitive products.
- The product itself is great. The only issue has been the high cost of the annual conferences which we try to attend. Conference passes are in the $1,500 range.
- Tableau's core strength is how easy it is to use. This was a key attraction to me in the early stage and remains a key consideration for many who want to visualise and understand the data in which they are subject matter experts without it requiring them to become experts in the software tool itself. As you use it more and more you also realise that while Tableau is deceptively simple to use it also has real depth and real power.
- This ease of use addresses a key business problem for many organisations which is that other solutions will require people who know a lot about databases but little about the data to produce solutions for people who truly understand the data but aren't database administrators. Tableau places very little demand at all on IT departments, many of whom are overworked and have long request queues to satisfy. Tableau allows the IT departments to work on the provision of simplified data connections with helpful metadata, leaving end users able to access the data, design and share meaningful dashboards from that data with anyone they wish in their organisation. This approach is very powerful and very productive.
- In browser animations
- Speed of rendering dashboards - this is getting faster all the time but it is there and can be a consideration. When we're so used to web pages rendering almost instantly it can feel unusual to wait 2-3 seconds for something to render on screen.
- auto update - Tableau does not automatically render new points if the underlying data changes. The browser page has to be manually or programatically refreshed to display new data.
- Simple and elegant analytics.
- Speed to value.
- Scalability – ability to start with a Desktop dashboard and seamlessly move to a server version when ready.
- Ability to do simple calculations.
- Ability to investigate and clean data sets quickly and easily.
- Dynamic data connection options.
- Unable to write information back to a database (example: what if analysis engine).
- Difficult to perform complex table calculations.
- Challenging to join different tables or views and perform meaningful calculations.
Currently Tableau Server is used to rapidly develop and distribute ad-hoc reporting to limited to senior level stakeholders, as such it's currently mainly used by finance department users.
It addresses the problem of slow development process of traditional SSRS based reports and lack of flexibility and self-discovery.
- One version of the truth, instead of passing around Excel workbooks which are prone to errors and lack of updates. A universal 'version' is used and is automatically updated based on new information fed by the data warehouse.
- Ease of integration with active directory allowing user level access restrictions based on existing infrastructure, as well as flexibility to easily override user level restrictions if needed.
- Intuitive interface, gold standard amongst a myriad of other products.
- Pricing can be a bit daunting compared to a desktop license, it should be cheaper.
Tableau Server facilitates the secure, controlled, sharing of work done my Tableau Desktop analysts and developers.
- Ease of use - connecting to different data sources, and, in visualizing data.
- Rapid and intuitive analysis.
- Easy to share (Tableau Server)
- In Tableau Desktop version 8.1, a direct interface to the 'R' open source statistical library was implemented. This allows for a major enhancement in the ability to do high-end statistics. I would love to see an interface where I did not, also, have to know 'R' syntax. But, for now, this enhancement is great!
- Connection to different data sources
- Quick setup for default visualizations
- Easy to construct dashboards, and easy to share and publish.
- Speed. If tables are large it can be very slow.
- Usage can result in many database connections active
- Some of the defaults are not easily modified.
Folks who aren't into visual charts and want spreadsheets: not well suited.
- In-built maps
- Extract based reporting
- Server maintenance
- User maintenance should be much easier ( For ex: Maintaining common users b/w Tableau Sites)
- Fail Over Setup
- Patch Releases are TOOOO Often.
Not suited for reporting on huge DWH, when users are expecting scheduled reports.
- Mobile and Browser based access across multiple devices and OS
- End user ease of use
- Rapid development and deployment of user new content
- Extracts can be somewhat difficult to deploy if developing off a local machine with limited resources
- Advanced skills needed to fully exploit the capabilities of the product
- Programming syntax issues, no standard based off another language
- 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?
- Quick visual representation of factual data.
- Drill down/Drill up and flexible slice/dice of the information.
- Easy exports of data extracts and Excel based reports for additional processing.
- No statistical procedures embedded in the software.
- Tends to become slow when connected to a database table with a large data set.
- Rapid fire analysis: the ability to ask questions and find answers rapidly of the data on the fly.
- Dashboarding: taking different views or sheets and bringing them to one screen where they can then interact with one another.
- Integrated mapping: rather than layering on top of Google Maps through complex coding, Tableau gives you the ability to look at geospatial data simply and quickly with both point maps and filled maps.
- Data Blending: taking data from different sources (even different DB types) and bringing it into visualizations together.
- Putting the ability to do analysis in the hands of the user
- Can be a bit buggy every so often.
- Connect easily to several data sources and can join data across sources.
- Particularly good at finding useful insights in large data sets - very flexible.
- Server solution is good for dissemination of data and reporting, but isn't the strongest part of the product.
- Automatic data type recognition can be troublesome; some geographic data points aren't recognized as such and require time-consuming manual mapping
- Alerts in the server platform would be a great addition. As is it's not a proscriptive product.
The graphs are easy to create and very attractive. The dashboards help tell a story about our data.
- Graphs are easy to create!
- Data connections are easy to use - and when your data is not formed well you can write custom queries.
- Great user experience! Our users love the tool.
- It is not easy to determine when using sets would be useful.
- Complicated calculations are a little hard to troubleshoot.
- Extracts! Killing an extract would be useful and currently no easy way to do this.
A report with 'just' numbers is better created elsewhere. Tableau is for visualizations! I can hardly think of a report that couldn't use a visualization.
Tableau Server Review: "Probably the best interactive data visualization and business intelligence tool exits in the market"
- Easy to use.
- Relatively easy to integrate with project native code.
- Very robust. I have never seen it fail.
- Performance/Cost is high.
- It could have a more competitive pricing schema.
- Cloud base services/solution for small enterprises, individual users.
- Distributing business intelligence across the organisation
- Enabling collaboration on analytics and data visualisation
- Managing user access to information by integrating with existing security models
- Empowering end users to share their data stories
- Providing governed data access to the entire organisation
- Customising the end user interface
- Being more restrictive by default with regard to user access
- Versatility -- there are endless ways to visualize data
- Adaptability -- all departments have unique business questions/challenges. Given the proper concision around the question, Tableau can usually be manipulated to have an answer.
- Immediacy -- Tableau Server is quick, simple as that.
- Some of the best use cases for Tableau come from building custom views out of the raw data sources. Tableau does not save custom views built in this fashion -- they have to be rebuilt each time which can be painfully time consuming.
- Data manipulation -- much of the time data has to be exported into excel in order to see things the right way.
- Tableau Server is a great tool for sharing meaningful reports. Members of a site simply access their site through their web browser, and then can view reports that drive business decisions. The navigation is very user friendly and the learning curve is minimal, even for someone who has never used a BI tool before.
- Reports housed on Tableau Server are either made out of a "live" data connection or a data extract, where data is brought in in memory. Within Server, it is very easy to set up your extract report to be refreshed based on whatever timeframe suits you (daily, weekly, monthly etc). It is easy to control how up to date the data in the reports are for site members viewing the reports.
- Site administrators within a site manage and control the permissions within the site. There is a three tier hierarchy within the content that's published to a Server site (Project level, Workbook level, View level) and site admins can quickly and easily control which members have access to which content within the site.
- There is no easy way to extract a Tableau site user list. (It can be done with using Tableau Desktop) but having an icon to export a user list to Excel seems like a simple enhancement that could go a long way.
- From a system admin perspective, there is no way to kill a task within Server. We ran into an issue where the subscription feature (an option where a user can have reports emailed to them on a schedule they determine) was gumming up our background task processors. The subscriptions would never execute, though it would hog the associated background task processor. Without having a simple kill task button, the system admins would have to stop processes and restart the actual Windows Server. It was a pain.
- Tableau Server vendor support can be frustrating at times. The turnaround time is inconsistent, it's almost like the luck of the draw for who gets assigned to your case. Many times they give canned copy/paste replies until you can get a WebEx session to show them what's going on.
- The best feature of Tableau is that it is easy to use. It gives those with an analytical mindset the ability to analyze data without having to navigate technical obstacles such as SQL, coding, etc.
- Quick dashboarding with easy to use drill down & drill across. Setting up an enterprise quality dashboard is pretty simple and there is a lot of functionality that can be incorporated using actions to allow for drill downs, filtering, etc.
- Implementation is a breeze. Tableau is quick to implement and upgrade. Unlike traditional BI Suites that have months-long implementation cycles, Tableau is pretty quick. Additionally, it does not need to sit on top of a data warehouse it can be fed via Access, Excel, or text - which makes it perfect for ad hoc analysis as well
- Ipad reporting seems to be a pain point for all BI sytems, Tableau included. In previous roles, we had more issues with security (internal to our company), but it seems like you have to download large files to the iPad to run the visualizations/dashboards, which can be a challenge for a mobile workforce.
- Blended data sets were always tricky in Tableau. It is pretty simple to get them up and running, but advanced features always seemed to be challenging.
- We had some issues using Essbase/Multi-Dimensional Sources, early on, but the Tableau support team was quick to churn out a solution.
- In some ways, this depends on company size. For a mid-sized company like us, this is a very good solution. But if we were a large enterprise, it would certainly make more sense to use something more appropriate to a large organization like Business Objects.
- Tableau is a huge improvement over what we had. It’s now easy to drag and drop elements to create very compelling visual reports. It’s also quite easy for users to create powerful reports without having to know SQL.
- Distribution of reports company-wide (by publishing to server and having users view reports through desktop or reader) is also great, and a huge improvement to the very manual process we had before.
- The data engine does an extract every morning from our data warehouse to update the data sets . This automatic data sync and report refresh capability is extremely helpful.
- Being able to connect different data sets – so some direct to our data warehouse, some in spreadsheets (like budgets) has been very helpful.
- The converse of the automatic data sync mentioned as a plus, is that it was a little difficult to set up. Initially we could not make Tableau sync with our data warehouse and we needed help from them, which they wanted to charge us for. It turned out that the problem was on our side – we’d done the installation incorrectly, so not their fault – but this was painful.
- Tableau does not work well with cubes that were used to speed up reporting in our DW. We have a columnar database, Vertica, for some parts of our DW as well and it remains to be seen how those will integrate with Tableau, although I don’t expect any issues here.
- Some features that are natively available in SQL are not available in Tableau (temporary tables)
- They release a new version every three weeks, which creates some management overhead for us. In particular, we have experienced some versioning problems where different versions of the product do not talk to each other correctly.
Tableau Server Scorecard Summary
Feature Scorecard Summary
About Tableau Server
Tableau Server allows organizations to deploy self-service analytics with a scalable, secure, enterprise-grade platform.
The vendor says key benefits include:
- Deploy the way that makes the most sense for your organization - on-premises or in the cloud, on Windows or Linux even integrate with your existing security and authentication protocols.
- Provide governed data access while promoting sharing and collaboration with data, reports and dashboards, all with the scalability and security requirements you require.
- Automate processes and workflows.
- Manage content, define access for individual users and groups, and ensure accurate insights.
In other words, Tableau Server aims to give you the visibility, security
and controls you need to empower your people with data. The vendor says Tableau helps
organizations of all sizes unleash the power of their two most valuable assets:
their data and their people. The product aims to support the
entire analytics journey, from data preparation, to deep analysis, to the
shared insights that drive the business forward.
Tableau Server Screenshots
Tableau Server Video
Tableau Server Downloadables
- 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?
Tableau Server Integrations
Tableau Server Competitors
Tableau Server Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
Tableau Server Technical Details
|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|