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Apache Superset vs Oracle Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Superset
Ranking in Data Visualization
4th
Average Rating
8.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Oracle Analytics Cloud
Ranking in Data Visualization
7th
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
25
Ranking in other categories
BI (Business Intelligence) Tools (9th)
 

Mindshare comparison

As of November 2024, in the Data Visualization category, the mindshare of Apache Superset is 10.2%, up from 6.9% compared to the previous year. The mindshare of Oracle Analytics Cloud is 3.1%, down from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Muhammed Shafad - PeerSpot reviewer
Scalable platform with efficient data set creation features
It is a good visual solution tool in an open-source category. Our customers want to improve the business into a SaaS model. They analyze the telecom-based transaction data with SaaS, including the number of subscribers, usage of 4G and 5G networks, etc. The platform improved data analysis for our customers by providing a visualization library. We can drag visualization graphs to create weekly sessions. There is no need to implement any extra coding. It has no code interface allowing us to track the dimensions and measure the canvas. It automatically generates the chat once we select the graph. The most efficient features are data set creation and data manipulation. We can directly use the raw data table and summarize it dynamically by processing the data manipulation window. SQL Editor enhances the data scoring process, helping us write queries directly during dashboard discrepancy issues. We can store the query for future analysis as well. It enables a customizable integration with other data sources. The main benefit of using the product is the ability to access the data source without using any coding. Any user can create reports easily with minimal training. I recommend Apache Superset for customers who are considering open-source vendors. I rate it an eight out of ten.
Hafiz Abdul Mannan - PeerSpot reviewer
Empowers your entire organization to ask any question of any data—across any environment, on any device
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.

Quotes from Members

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

Pros

"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."
"When you click on any chart, you can apply the filter without any effort."
"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's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"It has the best feature for data augmentation."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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."
"It's great for consolidation and creating one source of truth."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"The technical support services are good."
"The technical support is excellent, and they respond quickly."
 

Cons

"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."
"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."
"The platform's reporting feature needs enhancement."
"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."
"It is less scalable than Snowflake."
"The price of the solution could be lower."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"It is expensive."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"This solution could be more adaptable in its application."
"When you implement the product on a small scale, it doesn't generate any ROI."
 

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."
"Apache Superset has a three-year licensing model."
"Apache Superset is an open-source solution."
"Apache Superset is open-source and free."
"The tool's pricing is not unreasonable or non-competitive."
"It is an expensive platform."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"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."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Government
8%
Manufacturing Company
8%
Educational Organization
36%
Financial Services Firm
9%
Computer Software Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
With Apache Superset, we had some problems with the permissions when we had too many users. Some permissions were not really clear even after reading the documentation.
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 solution is highly cost-effective and easy to customize. The pricing is quite reasonable if the long-term benefits are considered. I would rate the pricing a five out of ten. A company can depe...
 

Also Known As

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

Learn More

Video not available
 

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: October 2024.
816,406 professionals have used our research since 2012.