Customizable dashboards (159)
Report sharing and collaboration (151)
Formatting capabilities (156)
Drill-down analysis (153)
Entry-level set up fee?
- No setup fee
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
Starting price (does not include set up fee)
- $70 per month
Tableau Desktop aims to allow people to make data-driven decisions with confidence, by helping them answer questions more quickly, solve harder problems more easily, and uncover new insights more frequently.
The vendor says that with a couple of clicks, 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 analysis. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from an intuitive and visual interface. Users can ask deeper questions by quickly building powerful calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.
Tableau's goal is to help people and organizations become more data-driven. With an integrated platform that is 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.
|Operating Systems||Windows, Mac|
Frequently Asked Questions
- Simplicity and dashboard
- Low cost and scalability
- An easy-to-use interface
- Real-time dashboard options
- Numerous visualization options
- Integration of large amounts of data
- Downloading, accessing, and using it is simple
- Enhanced customization
- Offers limited product support
- Cost-effective for a small business
- An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
- Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
- There is a significant learning curve involved in presenting data in a visually appealing manner.
- It can be challenging to incorporate many views, and daily data extracts can be slow depending on the data source.
- More advanced features can only be accessed through the desktop version, while Tableau Server can only offer a few options for editing.
- Sorting reports
- Data visualizations
- Fast response
- High cost
- Poor sales support
- No real time updates
- Connect to many data sources
- Plot any data into insightful visualizations
- Create charts and reports quickly
- Data story-telling with dashboards
- Chart animation for presentations and web
- Layout customization for panels and dashboards
- Improvements on mobile visualizations
- Excellent data visualization tool.
- Easy to learn and great support from the community.
- Great ecosystem to manage data for organizations of any size.
- Expensive for small organization
- Product support from Tableau is limited
- Need more easy to use templates for users who are just starting out.
- Creating various graphs using key data points.
- Geographical representation of data.
- Create Key performance indicators based on dates.
- Trend lines, heatmaps.
- More chart features/options outside of ShowMe.
- A better way to represent financial data.
- Data prep and data cleaning features.
- Custom formatting options, date functions.
- Live connect: direct query to data sources with seamless efforts
- Drag & Drop UI: build easy and faster great visualizations
- Big Data ready: simplest way to get data from data lakes
- Fastest to deploy simple data models, slowest to deploy complex data models
- Data Prep is not an out-of-the-box feature, but a separate tool
- Pricing compare to Power BI, still remains expensive
When you want to deploy a guided analytics use case (dashboard or an analytics app), Power BI and Qlik Sense are better tools as long as they have ETL tools included.
- Data visualization.
- User experience.
- Real-time analysis and rich dashboard options
- Cost and easy to scale
- Big data integration
- Poor BI capabilities
- Poor versioning and after-sale support
- Security issues
In cases where the Predicative Analysis need to be performed on data, Tableau lack the capabilities to solve this problem, where organization looking for the forecasting dashboards.
- Tableau Desktop clearly presents data in a visually appealing way
- Tableau Desktop allows real-time user interaction through the use of interactive parameters
- Tableau Desktop provides connectivity to many data sources and allows for an easy combination of data across these sources for use in one or more dashboards
- It can be a challenge to determine if and where a data element is used in a dashboard
- In order to make modifications to a data source, a local copy must be created. Unfortunately, it is not possible to re-use an existing local copy.
- Tableau Desktop does not cleanly integrate with Github or other standard source control systems
- It can handle very large amount of data
- Drop-down options in dashboards allow users to analyze the impact of clusters within the dataset
- It integrates well with Python and R
- It is strictly a visualization tool, hence no data preprocessing is possible
- Non-coding Tableau users will find it difficult to preprocess data using Python/R and then push the preprocessed data to Tableau
- The reports generated has to be updated manually since Tableau does not allow automatic refreshes
- User friendly
- Easy to download, access, and use
- Has a lot of visualization options
- More customization
- Quantitative analysis and trending.
- Easily proves or disproves hypotheses about operational factors that drive data trends.
- Allows subject-matter experts to visually display the story being told by the underlying data in a way that non-experts are able to understand.
- Blending qualitative and quantitative information for visual presentations.
- Level of detail can be somewhat challenging for new users to fully understand.
- Easier editing of published data sources would be a nice-to-have.
- Clear Presentation
- Easy to use and learn
- Good repository of learning materials online
- Connection to Microsoft apps
- Easier access for users who dont have a license
Tableau [Desktop] is not suitable if the data is very unorganized and needs human understanding and manipulation before it can be used. Though Tableau can be used to manipulate data, but if the data needs to be in a certain shape in order to be read by Tableau
- Excellent visualizations.
- Initial entry to the tool is intuitive.
- Large number of sources supported.
- Once getting past the basics, creating more complex structures and calculations can be more challenging and less intuitive than other reporting tools.
- Maintaining version synchronization between server and desktop is annoying. Would be better if the server compatibility could be specified in the desktop.
- Support for 3rd party olap technologies could be better.
Tableau's relatively recent acquisition by Salesforce does potentially make it a good fit for organizations with an existing Salesforce presence. This may become more relevant as time passes and Salesforce integrates Tableau more with their platform.
Before we hard-code our data and software like Python or R, we do our exploration in Tableau Desktop. It's used across the organization and we find a very helpful for understanding the basic parameters of a data set and look for obvious anomalies.
- Visualization of data
- Basic trend analysis of time series data
- Basic exploration of data
- Sharing data via Tableau dashboards
- Lacking more sophisticated statistical tools
- Difficult to integrate with code environments
- Expensive, especially Tableau Server
Tableau Desktop is good for business users and junior level data analyst who are exploring data sets and trying to draw some initial conclusions from data. It is not well suited for environments that are high code environments that require substantial integration with custom code; it struggles to pass data back and forth well. It is less appropriate for organizations that do not have the money to spend on the software subscription. In the early days, you could purchase Tableau as a one-time expense, but it has moved to a subscription model, making it a consistent expense.
- Data visualization.
- Data analysis.
- Poor support.
- Lags sometimes.
- Nice UI for designers and users.
- Easy to create new dashboards.
- A wide range of connectivity.
- Handling large data sets.
Never had contact to Tableau support due the fact that we have our own Tableau IT in-house.
- Very easy to use
- Wide selection of graphs and charts
- Excellent array of toolips
- Good for advanced users as allows deep level of customisation
- UI could be more intuitive
- Stand alone product from the web editor so requires additional setup and installation
- Easier use for managing custom parameters
- Easy-to-use interface
- Easy to share with clients or teams
- Customer support is lacking
Probably less suited for something that is a quick turnaround request or a short campaign, simply because of the time-intensive setup.
With few clicks you can add your data from cloud to the platform for the analysis part. This tool allows you to find the granule details and insight of the data which is huge in nature. Further different charts makes the presentation of analysis more effective and clear.
- Direct import of excel data sheets and other data sources.
- Various charts makes the data presentation much better.
- It can connect to multiple data sources simultaneously.
- Price is the major factor, costing is a bit high.
- Version support is poor.
- One needs proper training in order to use this tool effectively.
- Multiple data connectors and flexibility.
- Easy to create dashboards for data visualization.
- Excellent support and documentation.
- Upgrades and maintenance are cumbersome since we have a lot of customizations.
- Tableau licensing is pretty expensive.
- incompatibility between Tableau versions sharing data sets.
- Tableau Desktop has multiple data connectors. It can connect more than 45+ data sources
- Tableau Desktop's inbuild data engine is way faster to process huge data set
- Tableau has inbuild visual charts which help to create quick charts at ease
- Tableau Desktop is a visual tool so data manipulation is limited to a certain extent
- It is a desktop tool so cannot have all the features hosted online
- Sometimes due to huge dataset based on the data sources, Tableau Desktop does crash, leading to loss of efforts while developing the reports
- For professional dashboard
- We can also sync Tableau Desktop with other tools
- We can also use for forecasting purpose
- It is complete package don't see as of now we required any improvement
- Easy interface
- Many data visualization types
- Great data analysis
- Exceptional analytics
- Learning curve can be huge
- With many combinations of views, it can get tricky to incorporate