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Hubble 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

Hubble
Ranking in Data Visualization
27th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
5
Ranking in other categories
Business Performance Management (24th), Financial Performance and Strategy Management (9th), Financial Close Software (21st)
Oracle Analytics Cloud
Ranking in Data Visualization
10th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
BI (Business Intelligence) Tools (13th)
 

Mindshare comparison

As of December 2025, in the Data Visualization category, the mindshare of Hubble is 1.1%, up from 0.7% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.8%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Oracle Analytics Cloud2.8%
Hubble1.1%
Other96.1%
Data Visualization
 

Featured Reviews

PG
Financial / IT Director at a manufacturing company with 501-1,000 employees
Excellent for budgeting and forecasting, but long-term it will no longer be developed or supported
The fact that in a few years' time it is no longer going to be supported is a big concern. Therefore, I would advise against Hubble. Additionally, I think we underestimated the time for deployment, we thought it would be a few months and it took much longer than expected because the consultants didn't understand our process in detail before committing to the process. On a scale of one to ten, I would give Hubble a seven.
Vaclav-Biba - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The most valuable features are both its budgeting and forecasting."
"This is a stable and scalable solution."
"The most valuable features of the solution are dashboarding and data visualization."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"The technical support is excellent, and they respond quickly."
"The solution can scale."
"The best feature may be data flow, which is used to prepare and clean data."
"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 product is easily customized."
 

Cons

"We have been advised by the owners that the budgeting tool is no longer going to be supported with future development, so my recommendation would be for them to continue to invest in development. Otherwise, at some point we will have to migrate to another technology."
"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"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 less scalable than Snowflake."
"It is expensive."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
 

Pricing and Cost Advice

Information not available
"A highly cost-effective solution"
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The tool's pricing is not unreasonable or non-competitive."
"I would rate it a five out of five in terms of the value received for the price charge."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"It is an expensive platform."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Manufacturing Company
11%
Media Company
10%
Construction Company
10%
Government
13%
Computer Software Company
10%
Manufacturing Company
9%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise11
 

Questions from the Community

Ask a question
Earn 20 points
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

Dole, Ghiradelli, Ninetendo, Avon, Hallmark, Treasury Wine Estates, Kitchener-Wilmot Hydro, City of Prince George, Weingarten Realty Investors, Coloplast A/S, Western Forest Products Inc, The Deltic Group Ltd, Financial Times, Johnson & Johnson, Mitsubishi, National Geographic Maps
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Find out what your peers are saying about Hubble vs. Oracle Analytics Cloud and other solutions. Updated: December 2025.
879,259 professionals have used our research since 2012.