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."It is a good visual solution tool in an open-source category."
"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."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"The most valuable feature of Splunk for data analysis is its ability to search using SPL and SQL."
"I found the incident notification to be very helpful."
"It is a scalable solution."
"The most valuable feature of Splunk Enterprise Platform is that it's a customizable solution."
"The product helps monitor and visualize data. It allows you to handle various tasks. You can store, visualize, and analyze data with the Splunk Enterprise Platform. It offers features like virtual folders and heavy folders for filtering data. Additionally, you can create dashboards to showcase data to different teams and stakeholders. The tool also enables the creation of analytics and alerts and sends reports, making it a valuable tool for our system."
"The product's most valuable feature is the ability to explain the values and provide insights into transactions."
"Easy setup and maintenance"
"Splunk Enterprise Platform is an easy-to-use and easy-to-configure solution."
"The platform's reporting feature needs enhancement."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"The support offered by Splunk Enterprise Platform has certain shortcomings that need improvement."
"Integration is an area that can be considered as one of the challenges we face with the solution in our company"
"The tool lacked in providing a shareable format. I had to use pivot tables and manually parse and edit the data to create a visualization-friendly format. It was helpful when we had an issue. What would make it stronger is if it were more proactive. For example, if it highlighted major incidents and their impact on users without digging through notifications, that would be better. Typically, the first question we get is, "Oh, we had an incident. How bad was it? How many customers were impacted?" So having that information pop up from the notification would be helpful."
"Things have to be managed manually"
"Splunk Enterprise Platform should include more integrations with other security tools."
"There is room for improvement in introducing more AI capabilities onto Splunk Enterprise Platform."
"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."
"Areas for improvement include enhancing dashboards, reports, alerts, and the monitoring console."
Apache Superset is ranked 11th in Data Visualization with 3 reviews while Splunk Enterprise Platform is ranked 8th in Data Visualization with 18 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 Tableau, Qlik Sense, 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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We monitor all Data Visualization 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.
