Oracle Multitenant vs Teradata comparison

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Oracle Multitenant

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Oracle Multitenant compete in the data management and warehousing category. Oracle Multitenant may have the upper hand with its database consolidation capabilities.

Features: Teradata is known for its parallel processing capabilities, linear scalability, and workload management options. Its intelligent scan elimination provides consistent performance and adaptability. Oracle Multitenant's standout features include pluggable databases for consolidating numerous databases, efficient resource sharing, and simplified upgrades and management due to its container architecture.

Room for Improvement: Teradata faces challenges in cloud services, managing unstructured data, and high licensing costs. Enhancements in query performance and support for big data platforms are also needed. Oracle Multitenant requires improvements in backup and recovery processes, technical support responsiveness, and feature support across Oracle editions. Its pricing poses challenges for smaller businesses.

Ease of Deployment and Customer Service: Teradata offers deployment versatility across on-premises, public, and hybrid clouds. While its customer service is rated positively, technical support quality is inconsistent, and on-prem deployments raise expense concerns. Oracle Multitenant provides streamlined deployment with strong cloud integration but at a high cost. Customer service is highly rated; however, technical support receives mixed reviews.

Pricing and ROI: Teradata's pricing is on the higher end, making it appealing mainly for large-scale projects due to its premium data warehousing solutions. It offers valuable ROI when applied in large enterprises but limits appeal for smaller companies. Oracle Multitenant incurs significant costs, best suited for large enterprises able to maximize its features. While seen as valuable, its high investment cost is a consideration for enterprises not utilizing its full capabilities.

To learn more, read our detailed Oracle Multitenant vs. Teradata Report (Updated: March 2025).

Oracle Multitenant vs. Teradata

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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 Multitenant

Ranking in Relational Databases Tools

13th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

7th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (4th), Backup and Recovery (20th), Data Integration (16th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of March 2025, in the Relational Databases Tools category, the mindshare of Oracle Multitenant is 0.6%, down from 0.6% compared to the previous year. The mindshare of Teradata is 5.5%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

François Dernoncourt

Oracle Expert at Capgemini

Databases are automatically upgraded and cloning of pluggable databases requires just one command

Multitenant has a container database with many pluggable databases. A great feature is that you can upgrade the container to a more recent version and all the pluggable databases are automatically upgraded to that version. Previously it would have required an upgrade for each database. The second great feature is the clone which enables you to get the clone of pluggable databases with one command, as opposed to copying data from one place to another.

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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

"You can scale the solution as needed."

"The feature that I like on Multitenant is the ease - it is very easy for my team to run the database."

"Multitenant has a container database with many pluggable databases."

"Our primary use of Oracle includes writing queries for retrieving data for customers without worrying about the customer ID, user ID, as it is automatically connected to each query."

"The best thing about Oracle Multitenant is its ability to consolidate multiple databases into one engine."

"It's easy to use and works great."

"I would rate the scalability a ten out of ten. Our clients are mostly medium and enterprise businesses."

"The most valuable features are the speed and ease of use."

More Oracle Multitenant pros

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

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"It is very stable. It's 100% uptime. Speed and resilience are one of the greatest features of this product. In almost twenty years we've never had downtime, except for outages for patches and upgrades. We've never had a system failure in twenty years."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"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."

"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

"It is a solid database a lot of different tools to move data."

"The most valuable feature is the ease of running queries."

More Teradata pros

Cons

"This solution is a bit complicated when collecting from containers - that feature should be a bit better."

"The user interface for this solution can be made better."

"From the scope of improvement, I would say that people are adopting new query options. Certain databases like MongoDB adopt new query options so that they can just pull the data."

"While the product is overall excellent, it is quite expensive."

"Technical support could be faster."

"The solution lacks a GUI for commands."

"It can be complicated to scale up the solution, but it's scalable."

"There are many functions where changes are not easy to implement, and we try to avoid modifying these areas due to security issues and the complexity of maintaining them."

More Oracle Multitenant cons

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."

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

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"It could use some more advanced analytics relating to structured and semi-structured data."

"Needs compatibility with more Big Data platforms."

"Data synchronization to the DR site."

More Teradata cons

Pricing and Cost Advice

"This solution is a little bit pricey."

"For me, I will go with it if I have the budget. Some features are nicer than before, but at the end of the day, you always have a limited budget. I prefer to upgrade and get a specific hardware when possible. At the end, you will have to make a compromise. You will not get everything you would have liked to have."

"The price is worth the quality."

"It's a very expensive product."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

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

"The price of the solution could be reduced, it is expensive."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"Teradata used to be expensive, but they have been lowering their prices."

"The cost is significantly high."

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

24%

Hospitality Company

Computer Software Company

Real Estate/Law Firm

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Oracle Multitenant?

The best thing about Oracle Multitenant is its ability to consolidate multiple databases into one engine.

What is your experience regarding pricing and costs for Oracle Multitenant?

I am not connected to the financial aspects, so I am unable to provide details.

What needs improvement with Oracle Multitenant?

There are many functions where changes are not easy to implement, and we try to avoid modifying these areas due to security issues and the complexity of maintaining them. Also, support can be impro...

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,...

IBM Db2 Database vs Oracle Multitenant

Comparisons

Compared 44% of the time

Oracle Database vs Oracle Multitenant

Compared 28% of the time

SQL Server vs Oracle Multitenant

Compared 28% of the time

More Oracle Multitenant Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Oracle Multitenant

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Also Known As

Oracle Pluggable Database

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

Overview

Oracle Multitenant - an Oracle Database 12c Enterprise Edition option – introduces a new architecture that enables customers to easily consolidate multiple databases, without changing their applications. This new architecture delivers all the benefits of managing many databases as one, yet retains the isolation and resource prioritization of separate databases. In addition, Oracle Multitenant enables rapid provisioning and upgrades, and fully complements other options including Oracle Real Application Clusters and Active Data Guard.

For more information on Oracle Multitenant, visit Oracle.com

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

An Post, National Oilwell Varco, SAS Institute, Sportmaster, Y-Telecom

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Oracle Multitenant vs. Teradata