Oracle Multitenant vs Teradata comparison

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Oracle Multitenant

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Oracle Multitenant are notable competitors in the data management industry. While Teradata shines with its data handling capabilities, Oracle Multitenant offers strong benefits in database consolidation.

Features: Teradata is known for its massively parallel processing and shared-nothing architecture, making it ideal for handling large data volumes. It also offers robust querying, analytics, and data management features. Oracle Multitenant excels in efficient database consolidation and easy management, allowing multiple databases to be managed under a single container, enhancing scalability and reducing resource usage.

Room for Improvement: Teradata may confront challenges with high costs, cloud integration, and handling semi-structured data. Improved transactional processing is also noted as an area for enhancement. Oracle Multitenant users often seek advancements in backup and recovery functionalities and a reduction in the complexity of managing environments.

Ease of Deployment and Customer Service: Teradata offers various deployment options, from on-premises to cloud, with technical support known for expertise but occasionally slow in response. Conversely, Oracle Multitenant, mostly deployed on-premises, receives mixed reviews for customer support, with issues reported in response delays.

Pricing and ROI: Though Teradata is considered expensive, its value in analytics and data handling is perceived positively, often leading to favorable ROI. Oracle Multitenant is more suitable for large enterprises due to high licensing fees, yet users commend it for delivering quality performance and strong ROI, especially where performance and analytics are essential.

To learn more, read our detailed Oracle Multitenant vs. Teradata Report (Updated: April 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 (6th), Backup and Recovery (20th), Data Integration (17th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Relational Databases Tools category, the mindshare of Oracle Multitenant is 0.6%, up from 0.6% compared to the previous year. The mindshare of Teradata is 5.3%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Saikat Nag

Oracle Application Database Administrator at RP Sanjiv Goenka Group

Manages extensive utility billing applications efficiently with trusted performance and robust support

Currently, I have a very good experience with Oracle Multitenant. The pluggable database is easy to handle and manage, sharing resources efficiently. However, Oracle license pricing is an issue due to its high cost. Our organization is compelled to reduce CPU usage by seventy CPUs because the Oracle license cost depends on it.

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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

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

"It is quite stable. We have not faced any kind of instability in the database."

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

"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."

"You can scale the solution as needed."

More Oracle Multitenant pros

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

"It is a highly robust software solution."

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

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"The initial setup was straightforward."

More Teradata pros

Cons

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

"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."

"Oracle license pricing is an issue due to its high cost. Our organization is compelled to reduce CPU usage by seventy CPUs because the Oracle license cost depends on it."

"Technical support could be faster."

"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."

"That said, Oracle in general doesn't invest in their UI for any of their applications. If we're talking about the dashboard or other user experience, there is room for improvement. I'm talking about on premises. The cloud version has started to improve."

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

"It would be beneficial to include this solution with Oracle Enterprise, but Oracle charges additional fees for it."

More Oracle Multitenant cons

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

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

"GUI of administrative tools is really outdated."

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

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"Data synchronization to the DR site."

More Teradata cons

Pricing and Cost Advice

"The price is worth the quality."

"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."

"This solution is a little bit pricey."

"Teradata is a very expensive solution."

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

"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."

"Teradata is not cheap, but you get what you pay for."

"The cost is significantly high."

"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."

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

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

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

22%

Real Estate/Law Firm

Manufacturing Company

Healthcare Company

Financial Services Firm

26%

Computer Software Company

10%

Healthcare Company

Manufacturing 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?

Oracle's licensing costs are very high. Due to the increased license costs, we migrated from Oracle hardware like SuperCluster and MiniCluster to HPE Nutanix to manage costs while continuing to use...

What needs improvement with Oracle Multitenant?

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 57% of the time

SQL Server vs Oracle Multitenant

Compared 43% of the time

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Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

Snowflake vs Teradata

Compared 7% of the time

MySQL 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