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Oracle Big Data Appliance 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 Big Data Appliance
Ranking in Data Warehouse
13th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Teradata
Ranking in Data Warehouse
3rd
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), BI (Business Intelligence) Tools (14th), Marketing Management (5th), Cloud Data Warehouse (4th)
 

Mindshare comparison

As of September 2025, in the Data Warehouse category, the mindshare of Oracle Big Data Appliance is 1.6%, up from 1.0% compared to the previous year. The mindshare of Teradata is 13.2%, down from 16.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Market Share Distribution
ProductMarket Share (%)
Teradata13.2%
Oracle Big Data Appliance1.6%
Other85.2%
Data Warehouse
 

Featured Reviews

Mohammed Hamad - PeerSpot reviewer
Provides clean, centralized data
From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.
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

"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"This is a comprehensive solution that is easy to deploy."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"Teradata effectively uses parallelism to the granular level, performing better than other databases."
"The performance is great, we are able to query our data in one operation."
"Teradata's most valuable feature is that it's easy to use."
"It's very, very fast"
"It has increased the speed of reporting."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"I like writing preformance queries for preprocessing on AWS Cloud."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
 

Cons

"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"I would like more security and speed."
"I would like to see more integration with many different types of data."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"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 should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
"Teradata hardly supports unstructured data or semi-structured data"
"It could use some more advanced analytics relating to structured and semi-structured data."
 

Pricing and Cost Advice

"Oracle's prices are too high compared to others in the market."
"Teradata is currently making improvements in this area."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"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."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"The cost of running Teradata is quite high, but you get a good return on investment."
"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
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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
No data available
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 Business1
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise49
 

Questions from the Community

What needs improvement with Oracle Big Data Appliance?
Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...
What is your primary use case for Oracle Big Data Appliance?
The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...
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

Caixa Bank
Netflix
Find out what your peers are saying about Oracle Big Data Appliance vs. Teradata and other solutions. Updated: August 2025.
867,349 professionals have used our research since 2012.