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Oracle Big Data Cloud Service vs Sisense comparison

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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
7th
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
4th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
45
Ranking in other categories
BI (Business Intelligence) Tools (13th), Reporting (9th), Data Visualization (11th), Embedded BI (6th)
 

Mindshare comparison

As of September 2026, in the Cloud Analytics category, the mindshare of Oracle Big Data Cloud Service is 5.3%, down from 12.8% compared to the previous year. The mindshare of Sisense is 5.8%, up from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics Mindshare Distribution
ProductMindshare (%)
Sisense5.8%
Oracle Big Data Cloud Service5.3%
Other88.9%
Cloud Analytics
 

Featured Reviews

reviewer813444 - PeerSpot reviewer
General Manager with 1-10 employees
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.
Vishal Halbe - PeerSpot reviewer
System Integration Specialist at a non-profit with self employed
Has improved project turnaround time with customizable dashboards and faster data delivery to stakeholders
Sisense has some limitations, especially in rendering tables or graphs. For example, if you want to perform custom sorting or searching based on multiple columns, that becomes quite tricky. Providing more control over how the data is sorted or filtered would be quite useful. Additionally, it could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle. Sisense should provide more support for CI/CD, as we found the CI/CD approach quite limited, which is something that can be worked on. Some data scientists suggested more features can be offered by providing different models for data analytics. Sisense can improve by adding more features for handling complex schemas and making the pricing straightforward. The dashboarding features are good enough, but additional features could make it even more attractive. Also, CI/CD support or source control support would be really helpful.

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 aspect is the fact that it is open source."
"With this product, they get all the data; it's good quality and refreshed frequently so the customer is able to pull more valuable insights for their business."
"The solution's most valuable aspects are its data integration and data virtualization."
"The most valuable thing I have found is the ability for Sisense to connect data from totally different sources."
"Sisense can do both in a much much faster way, which drives our reporting efficiency into another level."
"It has allowed me to move my data to the cloud."
"The solution's technical support team is good."
"We dropped Excel and saved hours of finance team work, with automated reports and dashboards."
"We like that this solution allows us to use data cubes to set up specific visualizations."
"Visually displaying data."
"Sisense has positively impacted my organization as it has been one of the best tools available, because since we can connect multiple data sources, we are able to make data-driven decisions more easily, and we have improved our marketing and sales strategies."
 

Cons

"The solution needs to improve the functionality of the auto-deduplication."
"They lack the ability to respond to issues in a timely manner."
"We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers."
"We've had some issues with stability."
"Users with viewer access have less capabilities than similar users in Tableau."
"The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."
"There are some functionalities missing regarding built-in capabilities, which can only be added by using JavaScript, requiring technical knowledge from the dashboard designer to implement."
"Sisense doesn't have connections with statistical packages like R, SAS, etc."
"The document is definitely a sore spot as well as the limited inner join functionality of the cubes."
"Admins can't view all of the dashboards when needed; only dashboards that have been shared with the admins."
"I would say that using Sisense on Linux's platform might not be advantageous for everyone."
"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."
 

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
Construction Company
13%
Financial Services Firm
10%
Outsourcing Company
10%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise7
Large Enterprise16
 

Questions from the Community

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What needs improvement with Sisense?
So far, Sisense is performing well, but some visualizations lack flexibility in design options. Sisense should improve on handling extremely large data sets, and they should improve on maintaining ...
What is your primary use case for Sisense?
In our organization, we use Sisense for business intelligence where it helps us with complex data from multiple sources and provides excellent insights, which makes it easy for us to make data-driv...
What is your experience regarding pricing and costs for Sisense?
My experience with pricing, setup cost, and licensing has been positive, as the price is relatively affordable compared to other solutions, and I have no challenges with the pricing. The setup is s...
 

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: September 2026.
913,076 professionals have used our research since 2012.