We performed a comparison between Plotly and Sisense 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."
"The level of interactivity that the product provides is valuable to me."
"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."
"It has allowed me to move my data to the cloud."
"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"I have found the dashboard creating feature helpful."
"A very simple setup: Easy to download, install, and updates are pain free."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."
"Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct."
"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."
"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."
"The solution cannot be deployed on the website and shared with others through its own platform."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"The solution's setup process could be easier."
"I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
Plotly is ranked 16th in Reporting with 3 reviews while Sisense is ranked 14th in Reporting with 39 reviews. Plotly is rated 7.6, while Sisense is rated 8.8. 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 Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Plotly is most compared with Microsoft Power BI, Tableau, TIBCO Spotfire, RStudio Connect and Qlik Sense, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight. See our Plotly vs. Sisense 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.