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Oracle Autonomous Data Warehouse vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 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 Autonomous Data Ware...
Ranking in Cloud Data Warehouse
12th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Cloud Data Warehouse
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (7th), Backup and Recovery (22nd), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (14th), Marketing Management (5th)
 

Mindshare comparison

As of September 2025, in the Cloud Data Warehouse category, the mindshare of Oracle Autonomous Data Warehouse is 5.1%, up from 4.4% compared to the previous year. The mindshare of Teradata is 8.7%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Teradata8.7%
Oracle Autonomous Data Warehouse5.1%
Other86.2%
Cloud Data Warehouse
 

Featured Reviews

Kwajah Mohiuddin - PeerSpot reviewer
Provides self-repair features, but the setup is complex
We use the product for online applications. We use it in the financial industry The product has self-repair features. The tool tunes itself. It separates compute from storage. We can scale storage and compute separately. The setup is complex. Oracle is a complex tool. I have been using Oracle…
RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

Quotes from Members

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

Pros

"It is a stable and scalable solution."
"The solution is self-securing. All data is encrypted and security updates and patches are applied automatically both periodically and off-cycle."
"Self-patching and runs machine-learning across its logs all the time"
"It is a very stable tool...It is an extremely scalable tool."
"The solution is used for analytics and it works for our data security needs."
"It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions."
"The product has self-repair features."
"The solution has a self-backup, so you don't need a DBA (database administrator) to do a backup."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"The data processing, clustering, and distributed computing are impressive."
"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"Teradata effectively uses parallelism to the granular level, performing better than other databases."
"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."
 

Cons

"We are not satisfied with the technical support. Their understanding is lacking."
"They should make the solution more user-friendly."
"Sometimes the solution works differently between the cloud and on-premises. It needs to be more consistent and predictable."
"A lot of the tools that were previously there have now been taken away."
"It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment."
"The initial setup was pretty complex. It was not easy."
"The solution lacks visibility options."
"The setup is complex."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"The increasing volumes of data demand more and more performance."
"The solution’s pricing, scalability, and technical support response time could be improved."
"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."
"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."
"Teradata hardly supports unstructured data or semi-structured data"
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
 

Pricing and Cost Advice

"The solution is expensive."
"On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
"The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
"In terms of architecture and pricing structure, I feel it is a little bit costly compared to Azure. It's fine compared to RedShift, but compared to Azure, it's a bit pricey when you calculate for one TB storage plus around five hours of reporting with the frequency of 1TB data. The cost adds up, making Oracle a bit expensive."
"ROI is high."
"You pay as you go, and you don't pay for services that you don't use."
"Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
"We pay approximately $70,000 per month. The cost includes maintenance and support."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"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."
"It's a very expensive product."
"Teradata is not cheap, but you get what you pay for."
"Teradata used to be expensive, but they have been lowering their prices."
"The price of the solution could be reduced, it is expensive."
"The cost of running Teradata is quite high, but you get a good return on investment."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
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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
Computer Software Company
10%
Financial Services Firm
7%
Manufacturing Company
7%
University
7%
Financial Services Firm
25%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise11
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise49
 

Questions from the Community

What do you like most about Oracle Autonomous Data Warehouse?
With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main...
What is your experience regarding pricing and costs for Oracle Autonomous Data Warehouse?
We pay approximately $70,000 per month. The cost includes maintenance and support.
What needs improvement with Oracle Autonomous Data Warehouse?
Optimization should be better. The SQLs are sometimes very slow. I also noticed that Java is not supported, which is not ideal.
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,...
 

Also Known As

No data available
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
 

Overview

 

Sample Customers

Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
Netflix
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