We performed a comparison between Alteryx and Sisense based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics."The value add of Alteryx is the agility for making changes, and speed of deployment."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"The connectors are a very good feature."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The product's Macros probably are one of the most useful aspects."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"Allows users to build their own solutions without as much reliance on technology staff."
"This solution is easy to learn how to use."
"The solution's technical support team is good."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"Ability to work with very large data sources without the limitations of Excel."
"It has allowed me to move my data to the cloud."
"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"It would be great to create the final users' visualization within Alteryx."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"The workflow and pipeline need to improve."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"It would be great if Alteryx could take third party tools and incorporate them."
"Its most valuable feature lies in its functionality."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"
"The administrative side of Sisense is a little cumbersome and confusing."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"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."
"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."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
"The solution's setup process could be easier."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Sisense is ranked 17th in BI (Business Intelligence) Tools with 39 reviews. Alteryx is rated 8.4, while Sisense is rated 8.8. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Alteryx is most compared with KNIME, Databricks, Dataiku, RapidMiner and Microsoft Power BI, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and icCube.
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