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Hubble vs Oracle Analytics Cloud comparison

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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
29th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
5
Ranking in other categories
Business Performance Management (21st), Financial Performance and Strategy Management (9th), Financial Close Software (21st)
Oracle Analytics Cloud
Ranking in Data Visualization
15th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
BI (Business Intelligence) Tools (18th)
 

Mindshare comparison

As of November 2026, in the Data Visualization category, the mindshare of Hubble is 1.0%, up from 0.9% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.1%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Oracle Analytics Cloud2.1%
Hubble1.0%
Other96.9%
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.
DavidMalizia - PeerSpot reviewer
Head Of Data And Ai at a tech services company with 11-50 employees
Data projects have grown rapidly and support complex analytics and quick dashboard delivery
Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

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."
"Being able to create calculations, hierarchies, aging buckets, etc. has reduced the Excel reports we used to have."
"Hubble will truly blow you away once you get to know the product and the people behind it."
"Reporting was dramatically improved."
"We have saved hours of Excel work producing the same results, which Hubble gives in minutes."
"The technical support services are good."
"The solution can scale."
"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 plays a crucial role in facilitating decision-making for various organizational stakeholders."
"Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE."
"The product is easily customized."
"Mobility is the most valuable feature for us, as all employees can access it from anywhere, which is a big advantage for us."
"Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product."
 

Cons

"The only thing I may add is that it can get a little pricey when you add annual maintenance."
"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."
"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."
"Exporting to Excel takes a lot of time when broken into sheets/files."
"When exporting to Excel, it is values only."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Its FAW feature has limitations in terms of usage."
"The implementation of generative AI and machine learning should improve"
"The product could benefit from increased flexibility compared to other vendors."
"When you want to scale up and improve the computing power, it becomes extremely costly."
"The price of the solution could be lower."
 

Pricing and Cost Advice

Information not available
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"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."
"It is an expensive platform."
"A highly cost-effective solution"
"We pay on a monthly basis and it is $10 per user each month."
"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."
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Top Industries

By visitors reading reviews
Construction Company
15%
Financial Services Firm
10%
Manufacturing Company
8%
Outsourcing Company
7%
Financial Services Firm
9%
Government
8%
Manufacturing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise7
Large Enterprise11
 

Questions from the Community

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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 is your experience regarding pricing and costs for Oracle Analytics Cloud?
Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...
What needs improvement with Oracle Analytics Cloud?
Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure...
 

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
Sejong Hospital
Find out what your peers are saying about Hubble vs. Oracle Analytics Cloud and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.