Reviews (1-25 of 100)
- 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
Review: "Getting up and ready with a great data visualization platform in a few days with Tableau Server"
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.
Review: "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.
- 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.
- Access to our data sources such as MS SQL and MySQL
- Ease of use and administration
- Relatively small footprint for hardware
- Reasonable pricing
- Better exposure of the engine components for diagnostics and reporting
- Having to uninstall the product and reinstall to upgrade is odd and cumbersome
- Bring the command line options into a modern web admin interface with better information like backup processes and history
- Admin reporting on use of data sources and ability to search out dependencies in the database
- Allows for easy sharing of data and actionable insights with an extremely user-friendly visual interface
- Acts as an environment to implement and enforce data governance with centralized and certified data sources
- Easy to deploy, scale to our specific needs, and monitor
- Enterprise level implementation is very pricey
- Dashboard layout changes if the screen resolution of the Tableau developer is different from the end user's screen resolution
- Embedding is limited and difficult
- 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.
- Tableau Server is a must-have if you want to easily foster an environment of collaboration of dashboards and analytics built by your end users.
- Tableau Server has a strong and very flexible security model.
- Upgrades and maintenance of Tableau Server are fairly painless.
- Tableau Server provides a one-stop-shop for Tableau Desktop users to find data to work with.
- Content Discovery can be challenging. Unless users have security to data sources or dashboards, they often don't know they are there.
- Tableau Server doesn't natively support the ability to send PDF versions of dashboards to users that aren't Tableau Server users. An open source project was developed called VizAlerts that provides a workaround for this, but it should really just be built into the product.
- There are no phone numbers to call if you need support. The only way to contact Tableau Support is via email. If we have an urgent problem we typically need to reach out to our account executive to get appropriate attention.
Through our web app - and by proxy, Tableau - our clients are able to run comparable analysis against a back-end data warehouse using the visuals we design, create, and maintain.
- The visuals are beautiful and powerful, and the interface is easy to understand.
- The Tableau REST API provides a very functional programmatic interface between our web app and the back-end server.
- We use Tableau Server for Linux, which greatly simplifies the installation and maintenance of the server architecture.
- While I have some thoughts for improvements in the Tableau Desktop application, the server environment is a powerful, growing, and improving software. No significant cons.
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
- 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
- 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
- User management; you have a plethora of options built in (LDAP, Domain, SAML, etc.) for SSO and user management.
- Dashboard Hosting; you have the option to host your dashboard in a few different ways. You can embed it as part of a larger web page, have it emailed automatically, or view it directly on the server.
- Web Editing; while not as robust as a full fledged desktop I can see that it is edging that way. The web editing is great for fast, small, on the fly edits during a working session with a customer.
- Installation; the latest iteration was an absolute nightmare to install. It failed to install several times.
- Web Editing; while it is okay at small edits it would be a very nice feature to have an integrated solution that is as robust as desktop.
- User Management; in certain aspects user management could use a small boost. Have a setting that allows Active Directory / LDAP based users be removed/deleted from the server automatically instead of forcing a script be written and deployed. If the user no longer exists in the AD or LDAP group they should be removed vice set to inactive as an option.
- Tableau is an easy to use yet powerful analytics tool. We have created 100+ dashboards for our clients in a short time.
- Tableau supports multiple data connectors to pull data from almost any database, and CRM tools. We are able to pull data into Tableau from multiple databases.
- If your business is looking at a tool to put data in the user's hands and avoid IT requests overhead around reporting, Tableau is the tool.
- It is not easy to subscribe to dashboards or send e-mails outside of Tableau users. We have to use open source solutions like VizAlerts to make this happen. I believe for a tool like Tableau this should be an out of box solution.
- Even though Tableau is an easy to use tool, there is still a solid learning curve to get familiar with the use of Tableau. One should invest a good amount of time to get an organization to adapt to Tableau, especially if the organization hasn't already used similar tools already.
- Tableau Desktop is powerful. Tableau Web Portal provides a lot of the same functionality as Tableau Desktop, yet there are lots of gaps.
- Data blending is one of the more powerful features. However, this only works with limited data. If you are blending a million rows of a data source, we found it very difficult to blend.
Review: "Tableau Server is a good tool for sharing content within the organization but still has some flaws"
- Democratizes information. Any user can share information.
- The community is supportive.
- Auditing has always been lacking. The repository has some information, but being able to see what is clicked and what filters are used is needed.
- The UI has improved over the years, but finding content is still hard. People keep looking at custom portals or embedding content since it is hard to find.
- The 2018.2 upgrade is onerous and we have been putting it off. Not just because of tabadmin to tsm changes but also because o the updater not making the upgrade seamless. I have to reset every configuration.
- Backup and restore is slow.
- if you want answers and interactivity
- well formatted and paginated pdf reports to print out
- an Excel replacement
- 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 does a good job of making data easily accessible for consumers of data and analytics.
- Tableau Server is very easy to populate with data using extracts and storing that in the hyper data engine.
- Tableau is very fast for viewing complicated analytics - even better when using extracts.
- Tableau Online would be better if it used Encryption at rest and in transit - this would allow my organization to use it instead of managing our own VM in Azure with Tableau Server.
- More color palettes would be nice for both Tableau Server and Desktop.
- We were using a third party tool to visualize data in SSRS reports. Tableau is very helpful to visualize the data. Tableau visuals are easy to develop and need a very minimal amount of IT support.
- It would be better if Tableau could work like Microsoft SSRS reports work. Through SSRS , we can call the Stored procedures and pass the parameter, but in Tableau there are a few constraints.
- 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.
- 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.
- 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.
If Tableau is used for reporting outside the company to external users it can get very expensive.
- Powerful visulizations that can be customized with the desktop suite.
- Can be scheduled for emails or exported to PDF.
- Supports many different charts graphs and has plenty of filtering options.
- Default dates parameters do not work.
- Not a lot of room for custom queries to the end user.
- Desktop customization software is buggy.
- Allows non-technical data scientists and analysts to approach and visualize data.
- Allows reports prepared by non-technical analysts to be readily adapted by technicians into an always-live web portal.
- Its "extract" capability, although imperfect, can help to digest and visualize larger amounts of data in a moderately performant way.
- Consume hardware resources like crazy. It is implemented using a raft of heavy technologies, including Postres, Java, Apache httpd, and more.
- It has decent support for tabular data, but this support is somewhat rigid.
- It nags end users to upgrade their desktop versions frequently, even though this risks compatibility errors with the server.
- It's a significant resource hog. To some degree this is understandable, but it is largely due to its use of many heavyweight technologies (Postgres, Java, Apache httpd, and more).
- You can't change its use of port 443 when using SQL, forcing extra deployment complexity (e.g. proxy servers) in many deployment scenarios.
- The look and feel of their "story" feature is surprisingly hard to customize (beyond basic style elements) -- it's "a row of blocky buttons" only.
- It's geographic maps are fairly basic, and the UI controls for navigating them are clumsy.
Tableau Server Scorecard Summary
Feature Scorecard Summary
About Tableau Server
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.
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- 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?
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|Deployment Types:||On-premise, SaaS|
|Operating Systems:||Windows, Linux|
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|Supported Languages:||English, French, German, Spanish, Brazilian Portuguese, Japanese, Korean, Chinese|