Amazon Aurora vs Teradata comparison

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Amazon Aurora

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Amazon Aurora are prominent players in the database management market, focusing on data warehousing and cloud-based services. Teradata holds a competitive edge in high-performance analytics for large-scale environments, while Aurora excels in seamless AWS integration and scalability.

Features: Teradata offers advanced parallel processing, linear scalability, and extensive data analytics, supporting complex queries and large-scale data warehousing. It excels in handling massive datasets with efficiency. Amazon Aurora provides seamless AWS integration, ease of management, high availability, and automated backups, appealing to those looking for simplicity with enterprise-grade performance. It thrives in cloud-native deployments, offering automatic scaling and cross-region replication.

Room for Improvement: Users suggest Teradata should enhance its cloud offerings, cost flexibility, and user interface to improve compatibility with big data platforms and support for unstructured data. Aurora could benefit from more competitive pricing and improved developer tools, as well as expanded support for diverse database engines.

Ease of Deployment and Customer Service: Teradata supports various deployment options, including on-premises and hybrid solutions, with strong technical support and training, though its on-prem offerings can be complex. Aurora focuses on simplicity in public and private cloud deployments, benefiting from AWS's integrated ecosystem and efficient customer service.

Pricing and ROI: Teradata is seen as expensive, justified by its advanced features for large enterprises, providing a solid return on investment through robust analytics. Aurora offers a more cost-efficient, pay-as-you-go model without licensing fees, attracting businesses seeking affordability with high availability and performance.

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

Amazon Aurora vs. Teradata

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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:

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 speed and ROI, with high customer satisfaction and enhanced analytics, rated highly by organizations like Central Bank of Colombia.

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

We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

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 highly rated for professionalism and expertise, though response times occasionally need improvement and experiences vary.

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 customer support for Teradata has been great.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

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

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

The technical support from Teradata is quite advanced.

For more quotes and insights, download the Teradata report

Principal Consultant & Director at Quensulting

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's cloud capabilities offer flexible, efficient scalability, though some users face cost and on-premise expansion challenges.

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

Teradata's scalability is great; it's been awesome.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

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

8.3

Teradata is praised for stability with high uptime, robust architecture, minimal downtime, and effective workload management despite occasional 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 needs improvements in transactional processing, user interface, pricing, integration, analytics, scalability, AI features, and support.

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.

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

If Teradata could provide a list of certified experts, that would be fantastic.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 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 pricing is justified by performance, with flexible models offering value for large projects, requiring negotiation.

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

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

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.

For more quotes and insights, download the Amazon Aurora report

Digital Services & Engagement Senior Manager at AXA

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

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

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

We spent roughly $295,000 on setup costs.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Valuable Features

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

Teradata offers scalable, fast processing with excellent performance, adaptability, ease of use, robust security, and advanced analytics capabilities.

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

Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

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 (21st), Data Integration (17th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 2.7%, down from 3.8% compared to the previous year. The mindshare of Teradata is 4.5%, 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 (%)
Amazon Aurora	2.7%
Teradata	4.5%
Other	92.8%

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

Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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

Financial Services Firm

23%

Computer Software Company

14%

Retailer

University

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	13

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

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 17% of the time

Oracle Database vs Amazon Aurora

Compared 14% of the time

MariaDB vs Amazon Aurora

Compared 8% of the time

CockroachDB vs Amazon Aurora

Compared 7% of the time

SingleStore vs Amazon Aurora

Compared 3% of the time

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Oracle Exadata vs Teradata

Compared 11% of the time

IBM Db2 Database vs Teradata

Compared 8% of the time

Snowflake vs Teradata

Compared 7% of the time

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Amazon Aurora

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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 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 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

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

Netflix

Amazon Aurora vs. Teradata