Apache Superset vs Oracle Analytics Cloud comparison

Apache and Oracle are both solutions in the Data Visualization category. Apache is ranked #2 with an average rating of 8.3, while Oracle is ranked #6 with an average rating of 8.0. Apache holds a 9.3% mindshare in DV, compared to Oracle’s 3.3% mindshare. Additionally, 100% of Apache users are willing to recommend the solution, compared to 76% of Oracle users who would recommend it.

Apache Superset

Read 12 Apache Superset reviews

3,094 Views
3,094 Comparison Views

100% willing to recommend

Oracle Analytics Cloud

Read 27 Oracle Analytics Cloud reviews

3,651 Views
1,059 Comparison Views

76% willing to recommend

Apache Superset

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Oracle Analytics Cloud and Apache Superset compete in the data analytics domain. Oracle Analytics Cloud appears to have the upper hand due to its comprehensive feature set and strong data processing capabilities, which make it suitable for enterprises seeking robust analytics solutions.

Features: Oracle Analytics Cloud provides advanced data visualization, augmented analytics, and predictive insights, ideal for complex data processing. Apache Superset offers customizable dashboards, seamless SQL database integration, and lightweight open-source flexibility, appealing to teams seeking customizable and open-source solutions.

Room for Improvement: Oracle Analytics Cloud could improve by reducing its complexity for non-technical users, offering more cost-effective options for smaller enterprises, and enhancing its mobile integrations. Apache Superset could benefit from enhanced scalability for larger datasets, improved user-interface design, and more comprehensive documentation to ease the deployment for new users.

Ease of Deployment and Customer Service: Oracle Analytics Cloud offers a streamlined deployment experience with extensive support from Oracle's customer service. Apache Superset requires more technical expertise during deployment but benefits from an active community for troubleshooting and support.

Pricing and ROI: Oracle Analytics Cloud has a higher initial setup cost, promising substantial ROI through its broad analytical capabilities. Apache Superset offers a cost-effective setup as an open-source solution, providing favorable ROI for organizations that can leverage its flexibility and minimal licensing fees.

To learn more, read our detailed Apache Superset vs. Oracle Analytics Cloud Report (Updated: September 2025).

Buyer's Guide

Apache Superset vs. Oracle Analytics Cloud

September 2025

Download the complete report

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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

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Analytics Cloud

Ranking in Data Visualization

6th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (9th)

Mindshare comparison

As of September 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.3%, down from 10.3% compared to the previous year. The mindshare of Oracle Analytics Cloud is 3.3%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	9.3%
Oracle Analytics Cloud	3.3%
Other	87.4%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

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.

Read full review

Vaclav-Biba

BI/DW Consultant at Neit Consulting

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.

Read full review

Quotes from Members

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

Pros

"What I appreciate the most about Apache Superset is that it's free and easy to set up."

"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 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."

"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."

"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."

"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."

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

More Apache Superset pros

"This is a stable and scalable solution."

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"The ability to quickly search for and access relevant data is crucial."

"Oracle Analytics Cloud's most valuable feature is its visualization."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

"The technical support services are good."

"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."

"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."

More Oracle Analytics Cloud pros

Cons

"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."

"With Apache Superset, we had some problems with the permissions when we had too many users."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

"The platform's reporting feature needs enhancement."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

"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."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"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."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"The product could benefit from increased flexibility compared to other vendors."

"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."

"Its FAW feature has limitations in terms of usage."

"The interfaces could be improved and some in-memory operations could be built in."

"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."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"Apache Superset is open-source and free."

"Apache Superset has a three-year licensing model."

"Apache Superset is an open-source solution."

"The price of Apache Superset is less than some of its competitors."

"I would rate it a five out of five in terms of the value received for the price charge."

"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."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"We pay on a monthly basis and it is $10 per user each month."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

13%

Government

Healthcare Company

Government

11%

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

See all answers

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

See all answers

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 ...

See all answers

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...

See all answers

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

See all answers

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...

See all answers

Comparisons

Qlik Sense vs Apache Superset

Compared 23% of the time

Tableau Enterprise vs Apache Superset

Compared 17% of the time

Sigma vs Apache Superset

Compared 9% of the time

Splunk Enterprise Platform vs Apache Superset

Compared 6% of the time

RStudio Connect vs Apache Superset

Compared 4% of the time

More Apache Superset Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 17% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 17% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 10% of the time

Databricks vs Oracle Analytics Cloud

Compared 7% of the time

Qlik Sense vs Oracle Analytics Cloud

Compared 4% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Apache Superset

September 2025

Download Apache Superset product report

Buyer's Guide

Oracle Analytics Cloud

August 2025

Download Oracle Analytics Cloud product report

Also Known As

No data available

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has 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.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

Oracle

Sample Customers

Information Not Available

Sejong Hospital

Buyer's Guide

Apache Superset vs. Oracle Analytics Cloud

September 2025

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