Amazon RDS on Outposts vs Teradata comparison

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Amazon RDS on Outposts

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Executive SummaryUpdated on Jan 4, 2026

Teradata and Amazon RDS on Outposts compete in the data management solutions category. Teradata appears to have the upper hand in analytics capabilities and pricing, while Amazon RDS on Outposts stands out for its integration with AWS services.

Features: Teradata presents advanced analytics capabilities, scalability, and robust data warehouse tools that are beneficial for intensive analytics tasks. Amazon RDS on Outposts is known for strong AWS integration, automated management, and support for a wide range of database engines, making it ideal for those seeking compatibility within the AWS ecosystem.

Room for Improvement: Teradata might benefit from simplification in setup processes, enhanced cloud integration, and cost reduction for nimble deployment. Amazon RDS on Outposts could improve by offering better analytical tools, expanding support beyond AWS environments, and optimizing for cost efficiency given its higher pricing.

Ease of Deployment and Customer Service: Amazon RDS on Outposts offers ease of deployment with its seamless AWS integration and automated management features. Teradata requires a more complex setup but provides extensive support tailored for custom analytics environments, offering thorough assistance for large-scale analytics operations.

Pricing and ROI: While Teradata involves a higher initial setup cost, it promises substantial long-term ROI with its powerful analytics. Amazon RDS on Outposts offers flexible pricing models aligned with AWS pricing structures, appealing to those already invested in AWS services. Despite its costs, Amazon RDS provides scalable solutions that fit into existing AWS ecosystems.

To learn more, read our detailed Amazon RDS on Outposts vs. Teradata Report (Updated: December 2025).

Amazon RDS on Outposts vs. Teradata

December 2025

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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

Amazon RDS on Outposts

Ranking in Relational Databases Tools

16th

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

6th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (15th), Data Integration (15th), Data Warehouse (3rd), BI (Business Intelligence) Tools (8th), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (3rd)

Mindshare comparison

As of January 2026, in the Relational Databases Tools category, the mindshare of Amazon RDS on Outposts is 0.8%, up from 0.1% compared to the previous year. The mindshare of Teradata is 4.0%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Teradata	4.0%
Amazon RDS on Outposts	0.8%
Other	95.2%

Relational Databases Tools

Featured Reviews

Junilson Souza

Membro Do Conselho Consultivo at a computer software company with 5,001-10,000 employees

Has reduced database management efforts and supported student learning through smooth deployment

The most important feature of Amazon RDS on Outposts for me is the self-managed aspect. The user doesn't have to worry about putting the service online, scaling the solution, and they don't have to worry about backups and other administrative tasks. The self-managed feature by AWS is very interesting. I use the automated backups in Amazon RDS on Outposts, and I recommend it. I work as a consultant for AWS products, and I have recommended Amazon RDS on Outposts and the automatic backup. Automated backups are helpful because the technical team doesn't have to worry about backups, making it much easier. It frees the technical team to deal with other kinds of questions within their projects. Amazon RDS on Outposts positively impacted my organization by being very useful to migrate, freeing the technical team to think about other matters instead of focusing just on backups and provisioning the database.

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David Durand Velásquez

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.

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Quotes from Members

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

Pros

"The scalability and cost-effectiveness of AWS were beneficial during spikes in database usage, as it allowed our platform to adjust and remain operational."

"The product's initial setup phase is simple and straightforward."

"The solution reduces the configuration and maintenance of the database."

"Amazon RDS on Outposts positively impacted my organization by being very useful to migrate, freeing the technical team to think about other matters instead of focusing just on backups and provisioning the database."

"The solution is easy to manage."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

"It's a pre-configured appliance that requires very little in terms of setting-up."

"It is quick, secure, and has less hassles because we don't have to involve our networking team, infrastructure, etc. It is very easy to deploy and make market ready."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"The data processing, clustering, and distributed computing are impressive."

"The key advantages are Performance when processing Terabytes of data and scalability."

More Teradata pros

Cons

"The tool should include features to clone the RDS instances and have more central management for a lot of RDSs, not just every instance."

"I would like to see some improvements in its version upgrades because its upgrade from MySQL 5.7 to MySQL 8 was not straightforward."

"If our database is too big, we sometimes face glitches in it."

"Areas that could be improved with Amazon RDS on Outposts for Brazilians include the cost because it remains a very important consideration."

"I find the pricing to be expensive."

"The SQL Assistant is very basic. This tool can be improved for usability."

"The solution needs improvement in its stability, support and pricing."

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"Teradata can improve the way it handles big data and unstructured data."

"I would not say it was very performance efficient, but it was definitely good."

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

More Teradata cons

Pricing and Cost Advice

"The licenses are included with the subscription my company purchases from Amazon."

"Amazon RDS on Outposts is expensive compared to other solutions."

"The solution can get expensive fast."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"Teradata's licensing is on the expensive side."

"I am using the free version of Teradata."

"Teradata is currently making improvements in this area."

"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 solution requires a license."

"The initial cost may seem high, but the TCO is low."

"The cost is substantial, totaling around $1.2 million, solely dedicated to upgrading the hardware."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

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…

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

24%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS on Outposts?

Regarding price, using Amazon RDS on Outposts was a little bit more expensive than using EC2.

What needs improvement with Amazon RDS on Outposts?

Areas that could be improved with Amazon RDS on Outposts for Brazilians include the cost because it remains a very important consideration. The general self-managing service is a concern as well be...

What is your primary use case for Amazon RDS on Outposts?

I have experience with AWS. I have about five years of experience with AWS products. The AWS products I deal with include virtual machines, EC2, database, basic storage, S3, and basic usage. I have...

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,...

Amazon Aurora vs Amazon RDS on Outposts

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Compared 17% of the time

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Compared 7% of the time

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Compared 7% of the time

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Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 5% of the time

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Product Reports

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Amazon RDS on Outposts

January 2026

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January 2026

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

Amazon RDS on Outposts extends AWS cloud benefits to on-premises setups, offering seamless database management with low latency. It's tailored for users requiring consistent infrastructure technologies both on-premises and in the cloud.

Designed to provide managed database services using the familiar AWS ecosystem, Amazon RDS on Outposts supports popular databases such as MySQL, PostgreSQL, and SQL Server. It delivers the same AWS APIs, functionalities, and tools for a unified experience. This setup is ideal for latency-sensitive applications that need to remain on-site yet benefit from the scalability, reliability, and automation of managed services.

What features define Amazon RDS on Outposts?

Seamless Integration: Supports consistent AWS tools and interfaces, enabling easy management of database activities.
Automated Patch Management: Reduces downtime risks and maintenance efforts by automating software patching.
Security Compliance: Offers data encryption at rest and in transit, ensuring robust data protection.
Backup Automation: Facilitates reliable data recovery through automatic, user-defined backups.

What benefits should users consider in reviews?

Improved Latency: Enhanced application performance as databases are hosted physically closer to user premises.
Operational Efficiency: Simplified database management allows teams to focus on development rather than maintenance.
Cost Management: Pay-as-you-go pricing model reduces financial surprises, aligning expenditure with actual usage.
Enhanced Security: Bolsters compliance and data protection with managed security protocols.

Industries like finance and healthcare implement Amazon RDS on Outposts to manage data-sensitive operations efficiently. Banks use it for secure, low-latency transaction processing while healthcare providers benefit from compliant and reliable patient data management.

Amazon Web Services (AWS)

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

Information Not Available

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