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Oracle Business Intelligence Cloud Service vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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 Business Intelligenc...
Ranking in BI (Business Intelligence) Tools
21st
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Teradata
Ranking in BI (Business Intelligence) Tools
7th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (14th), Data Integration (12th), Relational Databases Tools (5th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)
 

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Business Intelligence Cloud Service is 0.8%, up from 0.5% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Teradata1.2%
Oracle Business Intelligence Cloud Service0.8%
Other98.0%
BI (Business Intelligence) Tools
 

Featured Reviews

Ram Alla - PeerSpot reviewer
BI Consultant at KPI Partners
Has supported secure report building and simplified data visualization for non-technical users
The features I find most useful in Oracle Business Intelligence Cloud Service include data visualization desktop for self-service reports. We can export using Excel and CSV files by dragging and dropping the columns to create reports. The drag-and-drop interface in Oracle Business Intelligence Cloud Service helps create dashboards for non-technical users as it is easy to use. By dragging and dropping columns, it creates a tabular view by default. We can convert these into many graphs and views such as pivot tables and other interactive graphical representations. I use self-service analytics in Oracle Business Intelligence Cloud Service.
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

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

Pros

"Its ease of use and the ability to drill down into detail are the most valuable, and executive dashboarding features are the most commonly used ones."
"The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities."
"Initial setup was straightforward."
"The solution effectively integrates with third-party products."
"Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."
"This solution allowed us to consolidate information from the finance and supply chain systems into aggregate reporting, which had been very difficult to create in the past."
"For large EDWH solutions, Teradata is the best."
"There are several features of Teradata that I like, including indexes, lower TCO, an optimizer feature that isn't found in other legacy systems, parallelism with shared-nothing architecture, and loading and unloading that are really helpful compared to other systems."
"We were able to migrate the code from SAS analytical platforms to pure Teradata and got an order of magnitude of performance growth (taking into account that the hardware was similar)."
"We had few reports which were taking more than 45 minutes, then with Teradata we received results within minutes, and a few under a minute."
"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."
"It is a stable program."
"In Data Lab, you can schedule any testing you want to do in production, take a small subset of data from production, copy it there, and run all your tests, which reduces your testing costs because it's all in the lab."
"I like writing preformance queries for preprocessing on AWS Cloud."
 

Cons

"In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience."
"Quality of support varies."
"Some of the advanced analytics need work, and I believe there's an opportunity to improve or simplify the integration with data power users and data science users."
"I didn't interact with them for this solution, but from a broader perspective, my experience with Oracle is that their tech support sits somewhere between low and fair."
"When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."
"The dashboard could be improved and include additional features."
"I would not say it was very performance efficient, but it was definitely good."
"​Their level of technical support is adequate. It could be better.​"
"The user interface needs to be improved."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"I would not say it was very performance efficient, but it was definitely good."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"The SQL Assistant is very basic. This tool can be improved for usability."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling."
 

Pricing and Cost Advice

"The solution's pricing is reasonable compared to other products."
"Oracle products are always going to be on the higher end of your price scale. You have to kind of accept that going in."
"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."
"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."
"The price of the solution could be reduced, it is expensive."
"Teradata is a very expensive solution."
"The price of Teradata could be less expensive."
"Teradata is currently making improvements in this area."
"Teradata used to be expensive, but they have been lowering their prices."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
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Comparison Review

it_user232068 - PeerSpot reviewer
Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees
Aug 5, 2015
Netezza vs. Teradata
Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…
 

Top Industries

By visitors reading reviews
Construction Company
20%
Financial Services Firm
14%
Comms Service Provider
10%
University
6%
Financial Services Firm
20%
Manufacturing Company
8%
Comms Service Provider
6%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What needs improvement with Oracle Business Intelligence Cloud Service?
As an expert, I can recommend that improvements could be made in Oracle Business Intelligence Cloud Service regarding cost. Compared to Power BI, it is significantly more expensive. I think the pri...
What is your primary use case for Oracle Business Intelligence Cloud Service?
The main use cases revolve around analytics which helps us with configured reports for AP, AR, and General Ledger. We have created several reports in Oracle Business Intelligence Cloud Service as R...
What advice do you have for others considering Oracle Business Intelligence Cloud Service?
I really recommend Oracle Business Intelligence Cloud Service itself. I recommend it because we can secure the data compared to other tools. We can connect with a self-service portal and create new...
Comparing Teradata and Oracle Database, which product do you think is better and why?
I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...
Which companies use Teradata and who is it most suitable for?
Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...
Is Teradata a difficult solution to work with?
Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...
 

Also Known As

No data available
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

Grant Thornton, FORTH, Anthem
Netflix
Find out what your peers are saying about Oracle Business Intelligence Cloud Service vs. Teradata and other solutions. Updated: April 2026.
893,244 professionals have used our research since 2012.