We performed a comparison between Apache Superset and Splunk Enterprise Platform based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The no-code interface is the most valuable as it allows us to operate without constant support from the data engineering team, fostering a self-service environment."
"It is a good visual solution tool in an open-source category."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."
"It can handle large datasets, swiftly consolidating outputs from every server and device across the network."
"The product's most valuable feature is the ability to explain the values and provide insights into transactions."
"Splunk Enterprise Platform is an easy-to-use and easy-to-configure solution."
"It's not just one feature I like the most. Every person wants to collect and rate logs, and I value how the Splunk Enterprise Platform handles this.The most valuable part for us is setting up the alerts and reports to manage the logs and log metrics. We use it to support every tool across the entire bank.We are the ones who manage all the data, and if there's any issue, everything depends on the Splunk Enterprise Platform."
"The most valuable feature of Splunk Enterprise Platform is that it's a customizable solution."
"What I find the most valuable about the platform is its DB Connect and its versatility in general. I also like its adaptability to any use case when it comes to collecting and analyzing data."
"The solution is very good for monitoring compared to other tools."
"The product is very easy to use."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"Sometimes, queries don't give proper results, and the indexes go down."
"The Splunk Enterprise Platform has room for improvement, particularly in automating the permissions process during app promotions. Currently, permissions are manually set when different teams request an application move to production, which is time-consuming. Automating this process would streamline operations by automatically assigning the appropriate permissions and roles to specific services or teams, reducing the need to review each request ticket manually."
"There is room for improvement in introducing more AI capabilities onto Splunk Enterprise Platform."
"There is room for improvement in terms of scalability."
"Firstly, integration with different cloud platforms could be enhanced."
"The product doesn’t have prebuilt dashboards."
"It's not easy or feasible to reach out to Splunk directly."
"Splunk is not an out-of-the-box solution like Micro Focus or Zabbix. You have to create your request to collect the data and add crucial components to the software."
Apache Superset is ranked 10th in Data Visualization with 4 reviews while Splunk Enterprise Platform is ranked 4th in Data Visualization with 26 reviews. Apache Superset is rated 8.0, while Splunk Enterprise Platform is rated 8.4. The top reviewer of Apache Superset writes "Has some great features and supports a rich set of charts". On the other hand, the top reviewer of Splunk Enterprise Platform writes "A platform for monitoring storage, CPU, RAM, Windows logs, and Cisco network logs on large machines". Apache Superset is most compared with Qlik Sense, Tableau, Sisense, Sigma and Zoho Analytics, whereas Splunk Enterprise Platform is most compared with . See our Apache Superset vs. Splunk Enterprise Platform report.
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