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Oracle Multitenant vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 6, 2024
 

Categories and Ranking

Oracle Multitenant
Ranking in Relational Databases Tools
20th
Average Rating
8.6
Number of Reviews
18
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 (5th), Backup and Recovery (19th), Data Integration (18th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)
 

Mindshare comparison

As of December 2024, 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 5.3%, up from 4.6% 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

"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."
"Maintaining databases is a valuable feature for us."
"The best thing about Oracle Multitenant is its ability to consolidate multiple databases into one engine."
"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."
"It is quite stable. We have not faced any kind of instability in the database."
"​We really enjoy the FastLoad, TPump, and MultiLoad features.​"
"Teradata's best feature is its speed with historical data."
"The key advantages are Performance when processing Terabytes of data and scalability."
"It is a stable program."
"The tool's most valuable feature is the warehousing model."
"It is a highly robust software solution."
"It's very mature from a technology perspective."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
 

Cons

"While the product is overall excellent, it is quite expensive."
"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."
"It would be beneficial to include this solution with Oracle Enterprise, but Oracle charges additional fees for it."
"The user interface for this solution can be made better."
"Technical support could be faster."
"This solution is a bit complicated when collecting from containers - that feature should be a bit better."
"There is room for improvement in customer service and support."
"The solution lacks a GUI for commands."
"The cloud is the new challenge and the new opportunity."
"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 user interface needs to be improved."
"There are some ways that the handling of unstructured data could be improved."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"It could use some more advanced analytics relating to structured and semi-structured data."
"The solution’s pricing, scalability, and technical support response time could be improved."
"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."
 

Pricing and Cost Advice

"The price is worth the quality."
"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."
"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
"The initial cost may seem high, but the TCO is low."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"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."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"Teradata's licensing is on the expensive side."
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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
20%
Computer Software Company
9%
Manufacturing Company
9%
Hospitality Company
6%
Financial Services Firm
26%
Computer Software Company
11%
Manufacturing Company
8%
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?
In my opinion, the price is worth the quality. But, the general view of customers is that Oracle is expensive. There are some cost-lowering benefits.
What needs improvement with Oracle Multitenant?
Everything is going well with the tool. 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 ca...
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
 

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Overview

 

Sample Customers

An Post, National Oilwell Varco, SAS Institute, Sportmaster, Y-Telecom
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Find out what your peers are saying about Oracle Multitenant vs. Teradata and other solutions. Updated: December 2024.
824,067 professionals have used our research since 2012.