Oracle Business Intelligence Cloud Service vs Teradata comparison

Oracle Business Intelligenc...

Read 76 Teradata reviews

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349 Comparison Views

87% willing to recommend

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Oracle Business Intelligence Cloud Service compete in the business intelligence and analytics category. Oracle Business Intelligence Cloud Service seems to have the upper hand due to its extensive feature set.

Features: Teradata offers robust data processing capabilities, scalability for large datasets, and efficient query execution. Oracle Business Intelligence Cloud Service stands out with advanced reporting features, seamless Oracle services integration, and strong data visualization tools.

Room for Improvement: Teradata could benefit from enhancing its data visualization capabilities, simplifying integration with non-Teradata systems, and improving real-time data access. Oracle Business Intelligence Cloud Service could improve ease of setup, simplify its complex feature set, and enhance integration with non-Oracle systems.

Ease of Deployment and Customer Service: Teradata provides a straightforward deployment process and efficient customer support. Oracle Business Intelligence Cloud Service, though more complex due to integration features, offers detailed documentation and responsive support, appealing to tech-savvy environments.

Pricing and ROI: Teradata offers cost-effective solutions with competitive initial setup costs, providing a potentially faster ROI for budget-conscious businesses. Oracle Business Intelligence Cloud Service, while pricier, provides substantial ROI through its comprehensive features and seamless enterprise system integration.

To learn more, read our detailed Oracle Business Intelligence Cloud Service vs. Teradata Report (Updated: June 2025).

Oracle Business Intelligence Cloud Service vs. Teradata

June 2025

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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

28th

Average Rating

7.2

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in BI (Business Intelligence) Tools

9th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of June 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Business Intelligence Cloud Service is 0.5%, up from 0.5% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Sucheth M

System, Projects and Governance at CIMB Bank

User-friendly solution but data modelling could be simplified

So far, it looks stable for us. One other good thing is that the platform is software as a subscription, and Oracle regularly releases updates. They are quarterly and are fairly updated; they don't really introduce any new features without informing customers in advance about the upcoming releases. So they're constantly improving it, and there is a regular upgrade. I'm like, "You know, you need to do a version upgrade and optimize. Maybe we do it once in three years or five years." But the cloud solution is where there are constant updates and ticketing releases every quarterly. So that's something which is very good. You don't have to wait for, you know, the version upgrades or something where the new features are expected only in the new version and whatever it is here. It is continuous development and also continuous releases of new features. That's something good in terms of their cloud solutions.

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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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Quotes from Members

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

Pros

"Initial setup was straightforward."

"The solution effectively integrates with third-party products."

"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."

"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."

"It has a solid set of tools and consulting services."

"It has massive parallel processing ability to do large amounts of concurrent querying."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"The performance is great, we are able to query our data in one operation."

"Cuts time to process huge amounts of data with efficient analytical queries."

"The most valuable feature is the ease of uploading data from multiple sources."

"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

More Teradata pros

Cons

"The dashboard could be improved and include additional features."

"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."

"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."

"I would like more security and speed."

"It could be a bit more user-friendly."

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."

"Teradata's UI could be more user-friendly."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"It would help to make scaling easier with a reduced cost. "

"Teradata has a few AI models, but in data science, we need more flexibility."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

More Teradata cons

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."

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

"It comes at a notably high cost for what it offers."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"Teradata is a very expensive solution."

"I am using the free version of Teradata."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

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…

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

13%

University

Educational Organization

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Oracle Business Intelligence Cloud Service?

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.

What needs improvement with Oracle Business Intelligence Cloud Service?

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. In future releases...

What is your primary use case for Oracle Business Intelligence Cloud Service?

We are using this intelligence for management reporting and analysis. We have certain KPIs and dashboards derived from Oracle Cloud Analytics. We also use OBIA for reporting and analytics with tran...

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,...

Oracle Analytics Cloud vs Oracle Business Intelligence Cloud Service

Comparisons

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Salient vs Oracle Business Intelligence Cloud Service

Compared 23% of the time

More Oracle Business Intelligence Cloud Service Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

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Product Reports

BI (Business Intelligence) Tools

June 2025

Oracle Business Intelligence Cloud Service report

Download Oracle Business Intelligence Cloud Service product report

Download Teradata product report

May 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Overview

Oracle Business Intelligence Cloud Service enables all users to tap into the most pertinent data, whenever and wherever they need it. With BI Cloud Service, robust analysis is accessible to everyone, from individuals to large workgroups, across the enterprise.

Oracle

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Grant Thornton, FORTH, Anthem

Netflix