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Oracle Exadata Express Cloud Service vs Teradata comparison

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Comparison Buyer's Guide

Executive Summary

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 Exadata Express Clou...
Average Rating
8.0
Reviews Sentiment
6.0
Number of Reviews
12
Ranking in other categories
Database as a Service (DBaaS) (14th)
Teradata
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (21st), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (6th)
 

Featured Reviews

Shrikant Navelkar - PeerSpot reviewer
Director at Clover Infotech
Have achieved excellent performance and seamless integration with effective cost control in cloud solutions
When customers are migrating from Oracle Exadata Express Cloud Service and need to remove some of their test and development environment, what happens in normal virtualization is that they can just switch it off, but in ExaCS, they need to terminate the entire thing. Most of the customers are not aware of this, so they keep spending money even if they want to shut down their UAT environment or development environment, so Oracle needs to make it simpler in terms of reducing the bill on ExaCS when customers want to shut down certain environments. Today, you have to terminate the entire VM, and only then your billing will stop. The only functionality I would expect from Oracle Exadata Express Cloud Service is that if Oracle is able to support Oracle MySQL Enterprise also on Exadata, that will solve a lot of problems.
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

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

Pros

"I like that Oracle Exadata Express Cloud Service is easier to use and is a cost-saving solution because you won't need to hire people to run and maintain it."
"Exadata is a highly stable and mature solution."
"The solution is very stable and offers great performance."
"One of the most valuable parts of the solution is the high availability within the system and the performance enhancement without making any changes or fine-tuning the databases."
"It is a scalable product."
"What is most valuable about this solution is there is no comparative solution by any other vendors."
"With this cloud service, a development team can get a database immediately, without long negotiation with other services."
"I would rate Oracle Exadata Express Cloud Service ten out of ten for its overall solution."
"The integration and configuration of Teradata in our AWS environment was great."
"The solution is the Rolls-Royce of data warehousing."
"We had few reports which were taking more than 45 minutes, then with Teradata we received results within minutes, and a few under a minute."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"It has a solid set of tools and consulting services."
"Our customers are very happy with the configuration."
"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."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
 

Cons

"I feel there is a need for better integration with Google Maps and Google Earth. This is crucial for me in the geographical facilities of the environment."
"Technical support from Oracle rates at five out of ten. Oracle support is 24/7, but if one support engineer is not able to solve the issue, you have to explain the problem again."
"The only downside is the difficulty in monitoring, and that's why I would like to implement MySQL database."
"The customer's default choice is the on-premise version of this solution. Only when Oracle or the partners like us, can explain to customers the cloud value proposition, and if the compliance authorities allow, they can look into this cloud solution. It will take some time for Oracle to change its perception of customers' de-facto standards. Exadata used to be treated as a black box, which is not the case now. The customer is aware of what is happening inside, how the configurations have been made, and what patching has been applied. Oracle needs to market the cloud version better."
"Customer Service: I had no answer when asking why the Customer Support Identifier is invalid Technical Support: The Customer Support Identifier provided was invalid. This means that I had no support, unfortunately."
"The support must be faster."
"The solution's pricing could be improved."
"Oracle's support could be better."
"Concurrency is still a challenge, pricing is still high."
"It would help to make scaling easier with a reduced cost. ​"
"Teradata's UI could be more user-friendly."
"Teradata could improve by being less complicated."
"The solution’s pricing, scalability, and technical support response time could be improved."
"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."
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge."
"If I want to implement an upgrade, I'd like to see how it will be different."
 

Pricing and Cost Advice

"I think Oracle pricing is usually above average market price."
"The tool is not cheap, but it is not really expensive."
"The price of this solution is very comparative to others on the market. There is no direct comparison between this solution and with something else because I do not see any other similar product."
"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."
"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."
"Teradata's licensing is on the expensive side."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."
"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."
"The cost is significantly high."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Comms Service Provider
14%
Outsourcing Company
13%
Financial Services Firm
12%
Recruiting/Hr Firm
9%
Financial Services Firm
16%
Outsourcing Company
10%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise8
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

Questions from the Community

What is your experience regarding pricing and costs for Oracle Exadata Express Cloud Service?
Oracle is quite expensive here in Brazil. Pricing is the primary challenge we face with Oracle.
What needs improvement with Oracle Exadata Express Cloud Service?
When customers are migrating from Oracle Exadata Express Cloud Service and need to remove some of their test and development environment, what happens in normal virtualization is that they can just...
What is your primary use case for Oracle Exadata Express Cloud Service?
We have been implementing Oracle Exadata Express Cloud Service for our customers for more than 10 to 12 years for our various customers through the on-premise Exadata offerings Oracle has.
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, Teradata Vantage Enterprise (DIY)
 

Overview

 

Sample Customers

TAFEL LEIPZIG, AS ONE
Netflix
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