Amazon Aurora vs Teradata comparison

Read 76 Teradata reviews

10,676 Views
3,310 Comparison Views

87% willing to recommend

Amazon Aurora

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 27, 2025

Teradata and Amazon Aurora compete in the data management and warehousing sector. Teradata holds an edge in high-performance processing for large-scale operations, whereas Amazon Aurora leads in ease of use and integration with AWS services.

Features: Teradata's massively parallel processing and shared-nothing architecture optimize performance for large-scale data operations. It's praised for speed and reliability in complex query handling. Teradata provides sophisticated in-database analytics and workload management to deliver business insights efficiently. Amazon Aurora offers a managed environment with seamless integration into AWS services, reducing administrative overhead. It automates maintenance tasks, provides scalability through auto-scaling, and ensures high availability, making it attractive for cloud-based projects.

Room for Improvement: Teradata users would benefit from reduced costs and improved cloud adaptability. Enhancing support for unstructured data and modernizing analytics tool integration are key areas. Amazon Aurora could improve its developer focus and include more advanced scalability features. Users also seek better cost-effectiveness and expanded performance insights.

Ease of Deployment and Customer Service: Teradata supports diverse deployment options, including on-premises and hybrid, but users find it complex to manage. Its technical support is knowledgeable, though response times can be inconsistent. Amazon Aurora offers straightforward deployment as a fully managed cloud solution, but direct support interaction and resolution speed need improvement. Both companies could benefit from enhancing their customer service experiences.

Pricing and ROI: Teradata is characterized by high initial investments but justifies cost with strong ROI in extensive operations. Despite value in enterprise settings, pricing remains a concern. Amazon Aurora's pay-as-you-go model presents a more flexible, cloud-appropriate cost structure, seen as fairer compared to traditional setups, especially given AWS's management benefits.

To learn more, read our detailed Amazon Aurora vs. Teradata Report (Updated: July 2025).

Amazon Aurora vs. Teradata

July 2025

Download the complete report

Helped 865,295 peers since 2012

Review summaries and opinions

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

ROI

Sentiment score

5.6

Switching to Amazon Aurora saves costs nearly 30% over RDS while improving performance, reliability, and manpower efficiency by 50%.

Sentiment score

8.1

Teradata boosts analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.

Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

No quotes available

For more quotes and insights, download the Teradata report

Customer Service

Sentiment score

5.3

Amazon Aurora offers varying support quality; enterprise users get prompt help, while free trial users experience limited assistance.

Sentiment score

7.1

Teradata's customer service is praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.

Technical support from Amazon is rated very highly.

Digital Services & Engagement Senior Manager at AXA

The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.

For more quotes and insights, download the Amazon Aurora report

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

The technical support from Teradata is quite advanced.

Principal Consultant & Director at Quensulting

Customer support is very good, rated eight out of ten under our essential agreement.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Scalability Issues

Sentiment score

7.8

Amazon Aurora excels in scalability, seamlessly auto-scaling for dynamic environments, though AWS's pricing model has limitations.

Sentiment score

7.4

Teradata is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.

This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.

For more quotes and insights, download the Amazon Aurora report

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

This expansion can occur without incurring downtime or taking systems offline.

Principal Consultant & Director at Quensulting

Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Stability Issues

Sentiment score

7.5

Amazon Aurora is stable with occasional minor issues, offering high availability and reliability for MySQL and PostgreSQL engines.

Sentiment score

8.4

Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset issues.

It offers a stable environment, ensuring consistent performance.

For more quotes and insights, download the Amazon Aurora report

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

I find the stability to be almost a ten out of ten.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

The workload management and software maturity provide a reliable system.

For more quotes and insights, download the Teradata report

Principal Consultant & Director at Quensulting

Room For Improvement

Amazon Aurora users seek better pricing, expanded support, smoother migrations, and improvements in performance, scalability, and developer resources.

Teradata users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.

There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.

Digital Services & Engagement Senior Manager at AXA

Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.

For more quotes and insights, download the Amazon Aurora report

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

I used the backup options in Amazon Aurora for cloning databases. It's very common.

Rubens Oliveira

Data & Solution Archtect at Enkel

Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Setup Cost

Amazon Aurora provides flexible, cost-effective pricing with notable performance benefits, though some consider it expensive compared to self-managed solutions.

Teradata's high cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.

Rubens Oliveira

Data & Solution Archtect at Enkel

The pricing is reasonable and not overly expensive.

Digital Services & Engagement Senior Manager at AXA

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.

For more quotes and insights, download the Amazon Aurora report

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.

Principal Consultant & Director at Quensulting

Teradata is much more expensive than SQL, which is well-performed and cheaper.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Valuable Features

Amazon Aurora offers automated maintenance, high scalability, and compatibility, ideal for diverse databases and efficient FinOps management.

Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.

It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

7th

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Relational Databases Tools

8th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (4th)

Mindshare comparison

As of August 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 2.9%, down from 4.1% compared to the previous year. The mindshare of Teradata is 5.1%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

High availability and geographical redundancy ensure reliable performance and cost efficiency

Associate Vice President - Database Management (Principal Solutions Architect) at Northbay

Amazon Aurora provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS, saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake. This makes Amazon Aurora a compelling choice for my organization.

Read full review

Harnessing advanced parallelism for top performance while embracing cloud trends

Principal Consultant & Director at Quensulting

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…

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.

See recommendations

865,295 professionals have used our research since 2012.

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

Financial Services Firm

25%

Computer Software Company

16%

Retailer

Government

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon Aurora?

Aurora's compatibility with MySQL or PostgreSQL benefited our database management. The migration from on-premise MySQL to Aurora was similar, so we didn't need to change our source code.

What is your experience regarding pricing and costs for Amazon Aurora?

The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper. However, when you manage the administration more closely, you can control costs better with Amazon Aurora. ...

What needs improvement with Amazon Aurora?

I would like to see some tutorials from Amazon for Aurora because I'm too new to it. I believe Amazon can make more tutorials for the product since there's a lot of reading required, and a short tu...

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,...

SQL Server vs Amazon Aurora

Comparisons

Compared 24% of the time

Oracle Database vs Amazon Aurora

Compared 15% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

Oracle Exadata vs Teradata

Compared 12% of the time

SQL Server vs Teradata

Compared 8% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Download Amazon Aurora product report

Amazon Aurora

August 2025

Download Teradata product report

July 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

Overview

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.

Amazon Web Services (AWS)

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel

Netflix