Oracle Business Intelligence Cloud Service vs Teradata comparison

Oracle Business Intelligenc...

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Oracle Business Intelligence Cloud Service compete in the data analytics space. Oracle Business Intelligence Cloud Service generally has an advantage due to its advanced features.

Features: Teradata is recognized for high-performance analytics, large-scale data integration, and efficient querying. Oracle Business Intelligence Cloud Service boasts comprehensive data visualization, advanced analytics, and seamless cloud integration, providing versatile tools for deep data insights.

Room for Improvement: Teradata could improve on simplifying deployment and reducing the complexity of on-premise maintenance. Enhancing user interface and expanding integration capabilities might also be beneficial. Oracle Business Intelligence Cloud Service can improve user customization options, streamline complex application processes, and enhance offline access for users needing remote work capabilities.

Ease of Deployment and Customer Service: Teradata involves a complex on-premise deployment requiring extensive resources, supported with responsive customer service. In contrast, Oracle's cloud-based model facilitates quick deployment and ease of access, backed by robust cloud support services.

Pricing and ROI: Teradata's lower initial cost is appealing for businesses with existing infrastructure, offering potential good ROI. Oracle's higher initial subscription pricing could be offset by long-term savings due to maintenance reductions and its feature-rich benefits, making it cost-effective for extensive analytical needs.

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

Oracle Business Intelligence Cloud Service vs. Teradata

April 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

27th

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

10th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Business Intelligence Cloud Service is 0.5%, up from 0.4% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

Aslam Pasha.

Infrastructure Technology System Engineer

Highly scalable with very good configuration, customization, and migration

Technical support assists us all the time and has a good response time depending on the case or severity. For a severe issue, support helps us a lot and continues to coordinate until our issue is resolved. Severe issues are ranked as a three or four technical level. Responses depend on the technical level, the questions asked, and what we discuss regarding the issue. The support person you get plays a role but overall the support team is excellent. Support is rated a eight out of ten.

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SurjitChoudhury

Data engineer at Cocos pt

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

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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."

"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."

"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."

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

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"Teradata's most valuable feature is that it's easy to use."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

"The initial setup was straightforward."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

More Teradata pros

Cons

"Quality of support varies."

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

"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."

"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."

"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."

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

"The cloud is the new challenge and the new opportunity."

"The solution needs improvement in its stability, support and pricing."

"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."

"Their level of technical support is adequate. It could be better."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

More Teradata cons

Pricing and Cost Advice

"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 solution's pricing is reasonable compared to other products."

"The cost of running Teradata is quite high, but you get a good return on investment."

"Teradata is currently making improvements in this area."

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

"When looking into implementing this product, pricing is the main issue followed by technical expertise."

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

"The price of Teradata could be less expensive."

"It's a very expensive product."

"The solution requires a license."

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

18%

Computer Software Company

13%

University

Healthcare Company

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,...

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Product Reports

BI (Business Intelligence) Tools

March 2025

Oracle Business Intelligence Cloud Service report

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March 2025

Also Known As

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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