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Oracle Big Data Cloud Service vs Sisense comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 2, 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

Oracle Big Data Cloud Service
Ranking in Cloud Analytics
2nd
Average Rating
7.6
Reviews Sentiment
6.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Sisense
Ranking in Cloud Analytics
6th
Average Rating
8.8
Reviews Sentiment
7.6
Number of Reviews
41
Ranking in other categories
BI (Business Intelligence) Tools (19th), Reporting (16th), Data Visualization (15th), Embedded BI (9th)
 

Mindshare comparison

As of June 2025, in the Cloud Analytics category, the mindshare of Oracle Big Data Cloud Service is 10.9%, up from 2.0% compared to the previous year. The mindshare of Sisense is 2.5%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics
 

Featured Reviews

reviewer813444 - PeerSpot reviewer
Easy to set up with good data integration and data virtualization
We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.
Wiboon Thabsuwan - PeerSpot reviewer
Helps businesses save time and offers good integration features
I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.

Quotes from Members

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

Pros

"The solution's most valuable aspects are its data integration and data virtualization."
"The solution's most valuable aspect is the fact that it is open source."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"Ability to work with very large data sources without the limitations of Excel."
"I have found the dashboard creating feature helpful."
"A very simple setup: Easy to download, install, and updates are pain free."
"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data."
"This solution is easy to learn how to use."
"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."
"Visually displaying data."
 

Cons

"The solution needs to improve the functionality of the auto-deduplication."
"We've had some issues with stability."
"They should improve the filters to create downloaded data by moving them to the top of the dashboard."
"I would like to see an improvement in the live data connection, specifically making the process faster."
"I would like to see an improvement in the live data connection, specifically making the process faster."
"This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution."
"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed."
"I would like to see more development and growth for the support of Knowledge Base and Community forums."
"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."
"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."
 

Pricing and Cost Advice

Information not available
"Compared to Power BI or Tableau, Sisense is much more expensive."
"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
15%
University
7%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Sisense?
The solution's technical support team is good.
What needs improvement with Sisense?
I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.
What is your primary use case for Sisense?
I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to cle...
 

Overview

 

Sample Customers

GE Digital, Wiggle, RecVue
Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
Find out what your peers are saying about Oracle Big Data Cloud Service vs. Sisense and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.