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Apache Superset vs Oracle Analytics Cloud 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
2nd
Average Rating
8.2
Reviews Sentiment
5.3
Number of Reviews
12
Ranking in other categories
No ranking in other categories
Oracle Analytics Cloud
Ranking in Data Visualization
8th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
BI (Business Intelligence) Tools (10th)
 

Mindshare comparison

As of October 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.2%, down from 10.2% compared to the previous year. The mindshare of Oracle Analytics Cloud is 3.3%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Apache Superset9.2%
Oracle Analytics Cloud3.3%
Other87.5%
Data Visualization
 

Featured Reviews

Md Ariful Islam - PeerSpot reviewer
Provides robust search capabilities with potential for additional features
The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.
Vaclav-Biba - PeerSpot reviewer
Enhanced analytics through metadata-driven reporting with enterprise-level visualizations enables competitive advantage
In my opinion, what can be better in Oracle Analytics Cloud these days is primarily about pricing. I am from the Czech Republic, which is our main market. The situation here in the Czech Republic is that Power BI rules the world. There are two main reasons for this. First, speaking about the Czech Republic specifically, and second, the Power BI pricing model appears cheaper compared to Oracle Analytics Cloud. The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment.

Quotes from Members

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

Pros

"The solution supports a rich set of charts and enables users to create their own dashboards."
"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."
"What I appreciate the most about Apache Superset is that it's free and easy to set up."
"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."
"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 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."
"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."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The technical support services are good."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The advanced calculations by the tool are highly effective"
"It has the best feature for data augmentation."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The best feature may be data flow, which is used to prepare and clean data."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
 

Cons

"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."
"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."
"The platform's reporting feature needs enhancement."
"With Apache Superset, we had some problems with the permissions when we had too many users."
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"It is expensive."
"The implementation of generative AI and machine learning should improve"
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The price of the solution could be lower."
"The product could benefit from increased flexibility compared to other vendors."
 

Pricing and Cost Advice

"Apache Superset is an open-source solution."
"Apache Superset is open-source and free."
"Apache Superset has a three-year licensing model."
"The price of Apache Superset is less than some of its competitors."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"The tool's pricing is not unreasonable or non-competitive."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."
"We pay on a monthly basis and it is $10 per user each month."
"I would rate it a five out of five in terms of the value received for the price charge."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"It is an expensive platform."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
11%
Government
9%
Healthcare Company
7%
Government
13%
Computer Software Company
10%
Financial Services Firm
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise4
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise11
 

Questions from the Community

What do you like most about Apache Superset?
It is a good visual solution tool in an open-source category.
What needs improvement with Apache Superset?
Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...
Which Oracle product is better - OBIEE or Analytics Cloud?
Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...
What do you like most about Oracle Analytics Cloud?
The ability to quickly search for and access relevant data is crucial.
What is your experience regarding pricing and costs for Oracle Analytics Cloud?
The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...
 

Also Known As

No data available
Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
 

Overview

 

Sample Customers

Information Not Available
Sejong Hospital
Find out what your peers are saying about Apache Superset vs. Oracle Analytics Cloud and other solutions. Updated: September 2025.
871,408 professionals have used our research since 2012.