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Apache Superset vs Splunk Enterprise Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Superset
Ranking in Data Visualization
5th
Average Rating
8.2
Reviews Sentiment
5.2
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Splunk Enterprise Platform
Ranking in Data Visualization
2nd
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
95
Ranking in other categories
IT Alerting and Incident Management (2nd)
 

Mindshare comparison

As of October 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.5%, down from 9.0% compared to the previous year. The mindshare of Splunk Enterprise Platform is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Splunk Enterprise Platform1.5%
Apache Superset2.5%
Other96.0%
Data Visualization
 

Featured Reviews

MP
Founder & CEO at Lanzar
Have saved significant operational costs and streamlined alert-driven analytics with customizable dashboards
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Based Access Control feature in the product. I assess this feature as good; they have permissions which are in more plain English, but there is a little bit of convenience missed out because if I have to create a super user apart from admin, I need to add all the permissions manually.
Koyena Paul - PeerSpot reviewer
Managed Security Services Associate at Accenture
Centralized security monitoring has transformed our threat detection and incident response
While Splunk Enterprise Platform is widely regarded as a powerful SIEM and observability platform, users across enterprises commonly report recurring challenges including licensing and data ingestion costs. Splunk Enterprise Platform's licensing is often based on the volume of data ingested, and as our organization grows, costs can increase significantly, and our teams may need to carefully decide which logs to ingest, which can limit visibility. A suggested improvement would be more flexible licensing options, better built-in recommendations for optimizing data ingestion, and smarter data compression or tiered pricing. There is also a steep learning curve where beginners can find SPL difficult. A suggested improvement would be more AI-assisted SPL generation, interactive tutorials, and guided dashboard creation with additional pre-built templates for common SOC use cases. These are the main areas for improvement that I can see: licensing flexibility, reducing the learning curve for new users, simplifying development, improving performance for very large datasets, and providing more AI-assisted features to reduce manual effort. In terms of adding more improvements, there are frequently discussed areas including easier third-party integrations. While Splunk Enterprise Platform supports many integrations, onboarding new security tools sometimes requires custom configurations or add-ons. A suggested improvement would be more plug-and-play integrations, faster support for new vendors, and then simplified administration. Administrators often manage indexes, forwarders, user roles, and cluster health, so a suggested improvement would be easier administration dashboards and automated health checks. These are suggestions that acknowledge Splunk Enterprise Platform's strengths while highlighting areas where many enterprise users see opportunities for further improvement. The primary areas for improvement that I see are licensing flexibility, simplifying administration, expanding plug-and-play integrations, and adding more AI-driven assistance for searches and investigations. These improvements would significantly simplify our tasks and help us solve more incidents in a lesser amount of time, making it flexible even for beginners.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The main benefit I have seen from working with Apache Superset so far is the speed from discovery and SQL to making charts and dashboards, along with its customizability."
"I see savings from using Apache Superset in both time and money, particularly with the cost reduced by roughly 99% compared to Tableau where we previously paid almost 50k annually."
"When you click on any chart, you can apply the filter without any effort."
"The benefits I have seen from using Apache Superset for the business team are that they have been able to look at the numbers easily, log into the portal, and look at different dashboards, which are at different granularities."
"Apache Superset is a lightweight reporting tool with a lot of functions and flexibility, where you can build the dataset, build charts, and dashboards from the user interface."
"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."
"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."
"I found the incident notification to be very helpful."
"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 platform has a powerful search engine, allowing the integration of custom AI such as ChatGPT, and it also has Phantom as a SOAR, which is more refined and gives more accurate results than any other AI integrated SIM tool."
"Splunk Enterprise Platform makes our job far more entertaining and easy to work on, helping us save on costs, money, and efforts."
"The best features Splunk Enterprise Platform offers are the dashboards and the ability to aggregate all the logs that we have."
"Splunk Enterprise Platform is very efficient for us."
"Overall, Splunk Enterprise Platform impacts my organization positively, and I can see the benefit from using the product."
"Splunk Enterprise Platform has positively impacted my organization because it works and solves the problem that we have."
 

Cons

"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."
"I had issues when trying to export and import dashboards; I could not do it on the first attempt."
"Dark mode would be the main thing I would like; it does not really work because the chart text cannot be white in a dark mode setup, so it is not feasible."
"One potential area for improvement in Apache Superset is that it must be installed in a dedicated Docker image, which could be a limitation since the goal is to embed Apache Superset in a product offering."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"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."
"I believe that Splunk Enterprise Platform is expensive, but that is about all I know regarding pricing, setup cost, and licensing."
"When concerning the cost of Splunk Enterprise Platform, the license cost can be a factor."
"There is room for improvement in terms of scalability."
"I see room for improvement with Splunk Enterprise Platform, particularly concerning costs, as many customers are considering switching to other SIEM platforms because the costs for the data are sometimes too high."
"Splunk Enterprise Platform has experienced stability issues."
"The user interface for search results is slower than it should be, and we would appreciate higher performance."
"I have not seen a return on investment, and I cannot share any relevant metrics, such as fewer employees needed, money saved, time saved, or anything else."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing around seven or eight out of ten."
"I have heard from my managers that Splunk Enterprise Platform is an expensive solution."
"The product is expensive, and the cost depends on the amount of data ingestion."
"There are yearly payments to be made towards the licensing costs attached to the solution."
"Splunk Enterprise Platform is an expensive solution."
"The solution's pricing increases with the amount of data used. This pricing model is acceptable because it aligns with the security features provided. It ensures that the price reflects the level of security and the amount of data we're managing."
"The solution’s pricing is moderate."
"If you exceed your licensed limit, the product will issue a warning, typically a five-license warning. Additionally, they send daily email notifications informing you about the breach. This prompts you to consider options such as minimizing logs or acquiring additional licensing to address the issue."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Government
8%
Comms Service Provider
8%
Computer Software Company
6%
Financial Services Firm
14%
Outsourcing Company
12%
Manufacturing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise5
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise10
Large Enterprise67
 

Questions from the Community

What needs improvement with Apache Superset?
I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators. We work with a Role-Ba...
What is your primary use case for Apache Superset?
My major use case for Apache Superset is anything related to analytical dashboards.
What advice do you have for others considering Apache Superset?
In terms of dashboarding tools, I work with them on a daily basis and can help with Apache Superset. We use Apache Superset for dashboarding. I always use it for read purposes, and we don't manage ...
What needs improvement with Splunk Enterprise Platform?
I do not have any suggestions on how Splunk Enterprise Platform can be improved because I am happy with it. If I had to think of one area where Splunk Enterprise Platform could be better or easier ...
What is your primary use case for Splunk Enterprise Platform?
My main use case for Splunk Enterprise Platform is to monitor the video on demand success rate for our video platform. A specific example of how I use Splunk Enterprise Platform for monitoring the ...
What advice do you have for others considering Splunk Enterprise Platform?
My advice to others looking into using Splunk Enterprise Platform is to research the product and utilize all the support that Splunk provides. I have rated this review a ten out of ten.
 

Overview

Find out what your peers are saying about Apache Superset vs. Splunk Enterprise Platform and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.