We performed a comparison between Plotly and Tableau based on real PeerSpot user reviews.
Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."When reviewing and interpreting data, I typically examine it in a tabular form to understand its structure. However, when explaining or presenting the findings to others, I often use visualization tools such as Plotly. These tools allow me to create visual representations of datasets."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"The level of interactivity that the product provides is valuable to me."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"It is an excellent tool for data capture, processing, and visualization."
"The most valuable feature is the aggregation function."
"The most important feature in Tableau is visual analytics."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"The tool needs to improve its pie charts. Regarding Plotly, I find the online documentation somewhat challenging to navigate, especially when dealing with many parameters. Searching through thousands of parameters can be a tedious and less straightforward process. While the documentation is available online and serves its purpose, I often encounter difficulties in finding the information."
"The solution cannot be deployed on the website and shared with others through its own platform."
"I believe that the prices of the tool's paid services could be on the premium side, so the pricing model can be considered for improvement."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"The architecture should be improved to better handle the data."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"The customization in the front end is a bit difficult."
"The pricing is a bit expensive."
"Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening."
"The SQL programming functionality needs to be improved."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
Plotly is ranked 16th in Reporting with 3 reviews while Tableau is ranked 2nd in Reporting with 291 reviews. Plotly is rated 7.6, while Tableau is rated 8.4. The top reviewer of Plotly writes "An interactive and easy-to-use solution that can be used to create dashboards". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Plotly is most compared with Microsoft Power BI, TIBCO Spotfire, RStudio Connect and Qlik Sense, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks. See our Plotly vs. Tableau report.
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We monitor all Reporting reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
