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 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 is a scalable solution."
"The most valuable features of the solution are the load balancing technique, the forwarding technique, and SSL certification."
"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."
"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 most valuable feature of Splunk for data analysis is its ability to search using SPL and SQL."
"The most valuable feature of the solution is the analytics part."
"The best thing about Splunk is you can collect all the data you want, and you can play with the data and do what you want."
"The product's most valuable feature is the ability to explain the values and provide insights into transactions."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"The platform's reporting feature needs enhancement."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"There is room for improvement in terms of scalability."
"The product doesn’t have prebuilt dashboards."
"Splunk can be used primarily to port log files, allowing for easy and quick management of large amounts of logs. However, this can also be a drawback due to the configuration, parsing, and dashboard creation limitations. Communication is stream-based, which means you need to do a lot of pre-emptive setup to get a nice export."
"Things have to be managed manually"
"The solution's license cost is high and can be improved."
"The platform is too expensive for small businesses. Splunk should focus more on delivering something for small businesses and entrepreneurs."
"Based on my experience, I've noticed areas for improvement, particularly in support. Developers typically interact with support personnel who may lack technical expertise when raising support tickets. This can result in delays as initial interactions involve sharing documents before escalation to higher support levels."
"It's not easy or feasible to reach out to Splunk directly."
Apache Superset is ranked 11th in Data Visualization with 3 reviews while Splunk Enterprise Platform is ranked 7th in Data Visualization with 25 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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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.
