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Apache Superset vs Splunk Enterprise Platform comparison

 

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
6.4
Number of Reviews
61
Ranking in other categories
IT Alerting and Incident Management (2nd)
 

Mindshare comparison

As of August 2026, in the Data Visualization category, the mindshare of Apache Superset is 2.7%, down from 9.9% compared to the previous year. The mindshare of Splunk Enterprise Platform is 1.4%, 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 Platform1.4%
Apache Superset2.7%
Other95.9%
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

"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."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"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."
"The solution supports a rich set of charts and enables users to create their own dashboards."
"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."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"Apache Superset allows us to set up alerts; for instance, if the failure rate exceeds 1.5%, we receive an alert to address the issue with our integration partners."
"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."
"Overall, I rate Splunk Enterprise Platform ten out of ten."
"Splunk Enterprise Platform provides everything in one single platform, giving us a centralized log management system for faster threat detection and compliance purposes, which reduces the mean time to detect and respond to alerts in the environment."
"Splunk Enterprise Platform has saved us a lot of money because it tracks and gives us alerts efficiently, which reduces the time spent monitoring our servers."
"Splunk Enterprise Platform offers very good integration patterns and extensive support for many log sources with pre-built rule sets and pre-built integrations."
"Overall, Splunk Enterprise Platform helps me monitor system health, reduce incident resolution time, and improve operational efficiency."
"Splunk Enterprise Platform has a vast and versatile powerful search engine with which I can handle all queries, and creating use cases and the search and dashboard is the main selling point, allowing me to visualize live dashboards."
"What I like the most about Splunk Enterprise Platform is that it generates alerts with true positives only."
"Overall, Splunk Enterprise Platform impacts my organization positively, and I can see the benefit from using the product."
 

Cons

"Areas of Apache Superset that could be improved include enhancing the data visualization features and addressing the overall data sourcing limitations, such as the 800 kilobyte limit per query that sometimes restricts our analysis, especially if we need to access data from many years back."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"The platform's reporting feature needs enhancement."
"I had issues when trying to export and import dashboards; I could not do it on the first attempt."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"The scalability of Apache Superset has been one of the challenges for us. We deployed it onto a bigger machine because as the users grew, we experienced a delay in data retrieval."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"Apache Superset needs more rich charting capabilities."
"Integration is an area that can be considered as one of the challenges we face with the solution in our company"
"The only problem I have with Splunk Enterprise Platform is that sometimes when I update a review, it takes time to receive confirmation emails."
"There should be continuous customer engagement and training programs on the new features and capabilities introduced by the solution."
"One area where Splunk Enterprise Platform can be improved is that the underlying search architecture is not up to the mark compared to something Elastic."
"The product doesn’t have prebuilt dashboards."
"Regarding the downsides of Splunk Enterprise Platform, as I mentioned, one is the Search Processing Language is somewhat complex when it comes to complex filtering and searching."
"When concerning the cost of Splunk Enterprise Platform, the license cost can be a factor."
"One area for improvement for Splunk Enterprise Platform is the learning curve."
 

Pricing and Cost Advice

"Apache Superset is an open-source solution."
"Apache Superset has a three-year licensing model."
"Apache Superset is open-source and free."
"The price of Apache Superset is less than some of its competitors."
"Splunk Enterprise Platform is an expensive solution."
"I rate the product's pricing a ten on a scale of one to ten, where one is cheap, and ten is expensive. It is a very pricey tool."
"There are yearly payments to be made towards the licensing costs attached to the solution."
"The product is expensive, and the cost depends on the amount of data ingestion."
"The solution’s pricing is moderate."
"The solution is expensive, so I rate its pricing a four out of ten."
"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."
"The tool is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Government
7%
Computer Software Company
7%
Comms Service Provider
7%
Financial Services Firm
15%
Construction Company
10%
Outsourcing Company
8%
Comms Service Provider
7%
 

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 Business34
Midsize Enterprise8
Large Enterprise43
 

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?
With respect to the use cases, we were able to create many use cases as well as fine-tune them, so thirty percent of the alerts were fine-tuned, and we have improved our detection logic and also th...
What is your primary use case for Splunk Enterprise Platform?
Splunk Enterprise Platform serves as our SIEM tool where we receive alerts and we primarily depend on it. As a centralized logging and monitoring system, we use Splunk based upon different data typ...
What advice do you have for others considering Splunk Enterprise Platform?
With respect to the use cases, we were able to create many use cases as well as fine-tune them, so thirty percent of the alerts were fine-tuned, and we have improved our detection logic and also th...
 

Overview

Find out what your peers are saying about Apache Superset vs. Splunk Enterprise Platform and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.