Amazon Aurora vs Oracle Database In-Memory comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Relational Databases Tools category. Amazon Web Services (AWS) is ranked #5 with an average rating of 8.6, while Oracle is ranked #11 with an average rating of 8.5. Amazon Web Services (AWS) holds a 3.2% mindshare in SQL, compared to Oracle’s 2.2% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Amazon Aurora

Read 21 Amazon Aurora reviews

3,172 Views
2,950 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

3,054 Views
2,168 Comparison Views

100% willing to recommend

Amazon Aurora

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Oracle Database In-Memory and Amazon Aurora are competitive in the database solutions category. Oracle Database In-Memory often achieves superior performance and security, whereas Amazon Aurora offers cost-efficiency and scalability within the AWS ecosystem.

Features: Oracle Database In-Memory excels with substantial performance improvements in data warehousing and analytics, especially when used with Exadata. It provides real-time transaction speeds in milliseconds and robust security through its Advanced Security Option and Database Vault. It also offers high availability and disaster recovery, making it suitable for critical applications. In contrast, Amazon Aurora is known for its automated maintenance, easy scalability, and integration with AWS services. It provides high availability with multiple read replicas and supports seamless backups, enhancing its usability in public cloud environments.

Room for Improvement: Oracle users express the need for better cost structures and support for decision support systems, as well as improved query optimization and integration with AI features. There are also calls for improved handling of large data sets. Amazon Aurora users point to the need for enhancements in cryptography, AI features, and improved distributed query processing. Improving scalability and adding support for more database engines are also suggested.

Ease of Deployment and Customer Service: Oracle Database In-Memory deployment involves private or hybrid clouds, with users experiencing varied results. Strong technical support is beneficial when available, though the general support structure needs improvement. On the other hand, Amazon Aurora is typically deployed in public cloud settings, taking full advantage of the AWS ecosystem. It is noted for its user-friendly setup and integration with AWS services, although users suggest faster resolution of complex issues in technical support.

Pricing and ROI: Oracle Database In-Memory is regarded as a high-cost solution, often pushing users towards open-source alternatives for managing expenses. Despite the cost, it delivers a strong return on investment through reliability and consistent performance. Amazon Aurora offers a competitive pricing model with its pay-as-you-go structure, eliminating traditional licensing fees. It is generally viewed as cost-effective, particularly for enterprises using AWS services, and its efficient resource optimization leads to a favorable ROI.

To learn more, read our detailed Amazon Aurora vs. Oracle Database In-Memory Report (Updated: June 2026).

Buyer's Guide

Amazon Aurora vs. Oracle Database In-Memory

June 2026

Download the complete report

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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

5.0

Users switching to Amazon Aurora reduced costs by 30%, improved performance, and saved $60,000 yearly, enhancing efficiency.

Sentiment score

4.3

Oracle Database In-Memory offers substantial ROI and benefits, though support costs may impact long-term finances for some users.

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

Satheesh Papisetty

Digital Services & Engagement Senior Manager at AXA

For more quotes and insights, download the Amazon Aurora report

No quotes available

For more quotes and insights, download the Oracle Database In-Memory report

Customer Service

Sentiment score

5.6

Amazon Aurora customer service varies, with effective support for high-tier plans but limited help for non-business users.

Sentiment score

5.5

Oracle Database In-Memory customer service improves in some regions but is inconsistent, with users finding varied support experiences.

Technical support from Amazon is rated very highly.

Satheesh Papisetty

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.

Adnan Shafiq

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

For more quotes and insights, download the Amazon Aurora report

Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

I rate the technical support of Oracle an eight or nine out of ten.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

The technical support from Oracle is very good.

Hosney Osman

Technical Solution Architect at Vodafone

For more quotes and insights, download the Oracle Database In-Memory report

Scalability Issues

Sentiment score

7.9

Amazon Aurora's exceptional scalability effortlessly handles large data volumes, ensuring high performance and growth with minimal operational disruptions.

Sentiment score

7.7

Oracle Database In-Memory is highly scalable and easily adjustable, effectively managing large datasets and supporting enterprise needs.

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

Adnan Shafiq

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

Regarding scalability and the ability to scale, I would give it a 9.5 out of ten.

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the Amazon Aurora report

No quotes available

For more quotes and insights, download the Oracle Database In-Memory report

Stability Issues

Sentiment score

7.5

Amazon Aurora is stable and reliable, with high user ratings and effective management of MySQL and PostgreSQL availability.

Sentiment score

7.6

Users find Oracle Database In-Memory stable and reliable, despite occasional bugs and high maintenance needs for resource-intensive setups.

I would rate the stability of Amazon Aurora as a nine out of ten.

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

It offers a stable environment, ensuring consistent performance.

Adnan Shafiq

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

For more quotes and insights, download the Amazon Aurora report

Oracle Database In-Memory is stable, which means there are no glitches or issues.

Hosney Osman

Technical Solution Architect at Vodafone

It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

For more quotes and insights, download the Oracle Database In-Memory report

Room For Improvement

Amazon Aurora needs improved pricing, performance, scalability, developer features, documentation, compatibility, integration, and regular updates for user satisfaction.

Oracle Database In-Memory users seek enhancements in cost, installation, integration, security, scalability, interface, and column store support.

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

Satheesh Papisetty

Digital Services & Engagement Senior Manager at AXA

If Amazon reduces the cost of Amazon Aurora, it would support large team adoption.

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

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

Adnan Shafiq

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

For more quotes and insights, download the Amazon Aurora report

The area where improvement is required the most in the product is the UI.

Hosney Osman

Technical Solution Architect at Vodafone

Allowing in-memory support features to handle processes without relying heavily on vector databases.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For more quotes and insights, download the Oracle Database In-Memory report

Setup Cost

Amazon Aurora's pricing is justified by its speed and features, with costs based on memory, storage, and usage.

Oracle Database In-Memory is costly, yet offers valuable performance and features, benefiting larger enterprises despite high licensing fees.

The pricing is reasonable and not overly expensive.

Satheesh Papisetty

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.

Adnan Shafiq

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

For more quotes and insights, download the Amazon Aurora report

Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

The pricing for Oracle Database In-Memory is more affordable.

Muhammad Azeem Khan

Sr. Oracle Database Administrator at Shoukat Khanum Memorial Hospital

For more quotes and insights, download the Oracle Database In-Memory report

Valuable Features

Amazon Aurora offers high performance, auto-scaling, AWS integration, with MySQL/PostgreSQL compatibility and managed architecture for efficient database management.

Oracle Database In-Memory enhances performance with real-time analytics, backward compatibility, automated configuration, fast queries, and efficient management.

The functions I have found most valuable in Amazon Aurora PostgreSQL are features that are not available in normal RDS PostgreSQL, particularly for scaling and restoration purposes in the event of failure.

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

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

Satheesh Papisetty

Digital Services & Engagement Senior Manager at AXA

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

Adnan Shafiq

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

For more quotes and insights, download the Amazon Aurora report

The biggest benefit of Oracle Database In-Memory is dealing with a huge amount of information without any latency for our response time.

Hosney Osman

Technical Solution Architect at Vodafone

The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For more quotes and insights, download the Oracle Database In-Memory report

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

5th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (6th)

Oracle Database In-Memory

Ranking in Relational Databases Tools

11th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Embedded Database (2nd)

Mindshare comparison

As of July 2026, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.2%, up from 2.8% compared to the previous year. The mindshare of Oracle Database In-Memory is 2.2%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Amazon Aurora	3.2%
Oracle Database In-Memory	2.2%
Other	94.6%

Relational Databases Tools

Featured Reviews

SivashankarRajaram

Principal Engineer at a tech vendor with 10,001+ employees

Cloud database has delivered high performance and cost savings for data recovery and growth

Amazon can make better access levels and reduce costs for Amazon Aurora. A cost reduction would support multiple teams to adopt this solution since the cost is currently higher. Comparatively, we have the feature of scaling and everything we need. If you launch PostgreSQL on-premises, you need to have a separate DBA for maintenance and everything. If Amazon reduces the cost of Amazon Aurora, it would support large team adoption. A great feature to see in the next version of Amazon Aurora would be improvements in vectorization. In our PostgreSQL, we have pg_vector that helps with vectorizing many of the tables and that is used for data science projects. If Amazon improves this vectorization, it would be much more useful for data science and AI projects.

Read full review

Hosney Osman

Technical Solution Architect at Vodafone

Real-time analytics have transformed response times and support huge data volumes with compression

I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

University

10%

Computer Software Company

Manufacturing Company

Financial Services Firm

14%

Comms Service Provider

Construction Company

Marketing Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	4
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	23

Questions from the Community

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. ...

See all answers

What needs improvement with Amazon Aurora?

See all answers

What is your primary use case for Amazon Aurora?

Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.

See all answers

What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

See all answers

What needs improvement with Oracle Database In-Memory?

See all answers

What is your primary use case for Oracle Database In-Memory?

The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.

See all answers

Comparisons

YugabyteDB vs Amazon Aurora

Compared 12% of the time

Oracle Database vs Amazon Aurora

Compared 12% of the time

SQL Server vs Amazon Aurora

Compared 9% of the time

Oracle Database Cloud Service vs Amazon Aurora

Compared 9% of the time

CockroachDB vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 9% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 5% of the time

DuckDB vs Oracle Database In-Memory

Compared 5% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Amazon Aurora

June 2026

Download Amazon Aurora product report

Buyer's Guide

Oracle Database In-Memory

June 2026

Download Oracle Database In-Memory product report

Overview

Amazon Aurora offers a relational database service with high availability and compatibility with MySQL and PostgreSQL. It is designed for efficient scalability and seamless integration within AWS, making it optimal for applications requiring robust performance and reliability.

Amazon Aurora distinguishes itself through its managed maintenance, ensuring high operational efficiency. It provides users with the ability to auto-scale their database resources, allowing businesses to maintain cost efficiency without sacrificing performance. The service includes robust disaster recovery options and supports up to sixteen read replicas, which are critical for mission-critical applications. Users benefit from smooth, cross-region replication and integration capabilities with other AWS services, enhancing data reliability and accessibility.

What are the most important features of Amazon Aurora?

Multiple-read and single-write capabilities: Offers versatile data handling for improved performance.
Seamless SQL standardization: Ensures compatibility with existing systems.
Auto-scaling: Adjusts resources dynamically based on workload demands.
High performance: Provides efficient data processing and fast response times.
Integration with AWS services: Enhances functionality through a secure ecosystem.

What benefits and ROI should users consider?

Cost management: Efficient scaling reduces unnecessary expenditure.
Reliability: Fault tolerance and replication ensure data availability.
Operational efficiency: Managed maintenance lowers administrative overhead.
Scalability: Supports seamless service adaptation to changing business needs.

Amazon Aurora is extensively used across various industries such as finance, e-commerce, and healthcare, supporting internal applications with its relational database prowess. Many organizations leverage its serverless capabilities and cost-effective scalability for developing business intelligence and payment processing solutions. The seamless migration assistance from Oracle databases further underscores its appeal for enterprises looking to optimize database performance and reduce operational costs.

Amazon Web Services (AWS)

Oracle Database In-Memory enhances performance for analytics and data warehousing, addressing large data volumes with real-time processing and advanced transaction capabilities. Its columnar storage accelerates analytic queries, with stability supporting deployment across diverse scales.

Oracle Database In-Memory provides an efficient platform for mixed-workload environments, optimizing performance and accelerating query processing. Its ability to handle OLAP queries without impacting latency-critical OLTP operations aids real-time data transfer, analytics, and reporting. Users across different industries implement it for business intelligence, data transactions, and decision-making, utilizing both on-premises and cloud platforms for applications such as banking and commerce. Despite its benefits, users cite needs for improved interface, better stability, and enhanced AI capabilities. Security, integration, and technical support remain critical considerations.

What are the key features of Oracle Database In-Memory?

Enhanced Performance: Boosts analytics and data warehousing efficiency.
Advanced Security: Offers robust options like Database Vault.
Real-Time Processing: Ensures efficient data handling.
Columnar Storage: Speeds up analytic query processing.
Scalability: Supports deployment across large databases.

What benefits or ROI should users expect from Oracle Database In-Memory?

Increased Efficiency: Accelerates query processing and data management.
Improved Stability: Reliable for diverse scales and workloads.
Real-Time Insights: Facilitates immediate data analysis and decision-making.
Cost Efficiency: Potential savings on data process optimization.
Scalability: Easily supports growth and expanding data needs.

In industries like banking, Oracle Database In-Memory is pivotal for enhancing transaction processing and analytics, offering improved security and real-time data management. Businesses in commercial sectors leverage it for decision support, employing both on-premises and cloud solutions, facilitating seamless data operation and strategic advantage.

Oracle

Sample Customers

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

Shanghai Customs

Buyer's Guide

Amazon Aurora vs. Oracle Database In-Memory

June 2026

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