Amazon RDS on Outposts vs Teradata comparison

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Amazon RDS on Outposts

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Amazon RDS on Outposts compete in the database management space. Amazon RDS on Outposts appears to have the advantage due to its integration with AWS services, which is preferred by users invested in the AWS ecosystem.

Features: Teradata is equipped with advanced analytics, large-scale storage capabilities, and robust data mining features. Amazon RDS on Outposts provides seamless AWS service integration, automated backups, and a flexible hybrid cloud approach.

Room for Improvement: Teradata could enhance its integration capabilities with other cloud services, optimize user interface for ease, and reduce complexity in deployment. Amazon RDS on Outposts may improve by expanding its analytics capabilities, offering more customization options, and providing broader support for non-AWS environments.

Ease of Deployment and Customer Service: Teradata requires experienced personnel for deployment, whereas Amazon RDS on Outposts offers straightforward deployment using AWS infrastructure. Amazon's customer service is accessible and supported by a vast network, enabling quicker implementation.

Pricing and ROI: Teradata demands higher initial costs but provides substantial long-term returns through its analytics. Amazon RDS on Outposts is more cost-effective initially, benefiting users with efficient scaling, attracting those seeking lower expenditures and leveraging AWS integration.

To learn more, read our detailed Amazon RDS on Outposts vs. Teradata Report (Updated: April 2026).

Amazon RDS on Outposts vs. Teradata

April 2026

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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

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (14th), Data Integration (12th), Data Warehouse (3rd), BI (Business Intelligence) Tools (7th), Marketing Management (6th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (4th)

Mindshare comparison

As of May 2026, in the Relational Databases Tools category, the mindshare of Amazon RDS on Outposts is 0.9%, up from 0.2% compared to the previous year. The mindshare of Teradata is 4.1%, down from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	4.1%
Amazon RDS on Outposts	0.9%
Other	95.0%

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

"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."

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

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

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

"I like this solution's ease of design and the fact that its performance is quite good."

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

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

"What really impressed me is their approach to design the data warehouse."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"The most valuable feature of Teradata is security."

"I mostly recommend Teradata for data storage because it is easy to deploy and implement."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

More Teradata pros

Cons

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

"I find the pricing to be expensive."

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

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

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

"Teradata customer support in India is very bad."

"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."

"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"The scalability could be better. The on-premises solution is always more complicated to scale."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"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."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

More Teradata cons

Pricing and Cost Advice

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

"The solution can get expensive fast."

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

"Teradata used to be expensive, but they have been lowering their prices."

"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

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

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"The price of Teradata could be less expensive."

"The solution requires a license."

"The cost is significantly high."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Construction Company

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,...

MariaDB vs Amazon RDS on Outposts

Comparisons

Compared 25% of the time

Amazon Aurora vs Amazon RDS on Outposts

Compared 24% of the time

Infobright DB vs Amazon RDS on Outposts

Compared 19% of the time

Tibero vs Amazon RDS on Outposts

Compared 11% of the time

More Amazon RDS on Outposts Competitors

Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 3% of the time

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Product Reports

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Amazon RDS on Outposts

May 2026

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April 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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