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Oracle Multitenant vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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
Number of Reviews
19
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
76
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 February 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 - PeerSpot reviewer
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.
SurjitChoudhury - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The most valuable features are the speed and ease of use."
"It is quite stable. We have not faced any kind of instability in the database."
"The database becomes pluggable. Inside this container is called a pluggable database and each application contains this pluggable database inside Multitenant. We can then share resources like control files, memory, etc. This lets you stop and start each application without impacting the others. This resource sharing is the most valuable feature"
"The feature that I like on Multitenant is the ease - it is very easy for my team to run the database."
"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."
"Multitenant has a container database with many pluggable databases."
"Maintaining databases is a valuable feature for us."
"I would rate the scalability a ten out of ten. Our clients are mostly medium and enterprise businesses."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"​We really enjoy the FastLoad, TPump, and MultiLoad features.​"
"Teradata's best feature is its speed with historical data."
"Teradata's pretty fast."
"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."
"Teradata effectively uses parallelism to the granular level, performing better than other databases."
"It has increased the speed of reporting."
 

Cons

"This solution is a bit complicated when collecting from containers - that feature should be a bit better."
"It would be beneficial to include this solution with Oracle Enterprise, but Oracle charges additional fees for it."
"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."
"Technical support could be faster."
"It can be complicated to scale up the solution, but it's scalable."
"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."
"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."
"The solution lacks a GUI for commands."
"Teradata can improve the way it handles big data and unstructured data."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"I would like more security and speed."
"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."
"The solution’s pricing, scalability, and technical support response time could be improved."
"I would like to see more integration with many different types of data."
"The current operational approach needs improvement."
 

Pricing and Cost Advice

"This solution is a little bit pricey."
"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."
"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 is a very expensive solution."
"Teradata is not cheap, but you get what you pay for."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"I am using the free version of Teradata."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
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Comparison Review

it_user232068 - PeerSpot reviewer
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
Financial Services Firm
22%
Computer Software Company
8%
Hospitality Company
7%
Manufacturing Company
7%
Financial Services Firm
27%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
7%
 

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,...
 

Comparisons

 

Also Known As

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

Overview

 

Sample Customers

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