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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 #7 with an average rating of 8.5, while Oracle is ranked #9 with an average rating of 9.2. Amazon Web Services (AWS) holds a 3.0% mindshare in SQL, compared to Oracle’s 1.6% 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 18 Amazon Aurora reviews
  • 2,410 Views
  • 1,575 Comparison Views
100% willing to recommend
Oracle Database In-Memory
Read 31 Oracle Database In-Memory reviews
  • 942 Views
  • 412 Comparison Views
100% willing to recommend
 

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.

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Buyer's Guide
Amazon Aurora vs. Oracle Database In-Memory
June 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:
 

ROI

Sentiment score
7.4
Switching to Amazon Aurora saved 30% in costs and improved performance, reducing operational expenses and enhancing customer satisfaction.
Sentiment score
7.7
Organizations find Oracle Database In-Memory offers significant returns and enhanced performance, despite long-term licensing costs.
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
No quotes available
For more quotes and insights, download the Oracle Database In-Memory report
 

Customer Service

Sentiment score
5.6
Amazon Aurora offers responsive support for premium subscribers, with enterprise-level 24/7 assistance, though access varies for personal accounts.
Sentiment score
5.3
Opinions on Oracle Database In-Memory's support are mixed, citing both effective assistance and frequent issues with inconsistency and responsiveness.
Technical support from Amazon is rated very highly.
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
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
For more quotes and insights, download the Oracle Database In-Memory report
SP
Adnan Shafiq - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Scalability Issues

Sentiment score
8.2
Amazon Aurora seamlessly scales to meet high-performance demands, handling large data volumes efficiently, vital for growing businesses.
Sentiment score
7.9
Oracle Database In-Memory excels in scalability, supporting large-scale operations and multiple users with minimal performance impact and downtime.
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
No quotes available
For more quotes and insights, download the Oracle Database In-Memory report
 

Stability Issues

Sentiment score
7.8
Amazon Aurora maintains high reliability and performance, with occasional downtimes, quickly resolving initial bugs for minimal user interruptions.
Sentiment score
8.0
Oracle Database In-Memory is stable, reliable, and ideal for high-transaction systems, though premium support may be necessary.
It offers a stable environment, ensuring consistent performance.
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
 

Room For Improvement

Amazon Aurora users seek better pricing, Oracle integration, enhanced AI features, scalability, PostgreSQL extensions, and improved serverless query tools.
Oracle Database In-Memory requires analytics, security, scalability improvements; cost, user interface, migration, and support challenges persist.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
For more quotes and insights, download the Amazon Aurora report
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
For more quotes and insights, download the Oracle Database In-Memory report
SP
Adnan Shafiq - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Setup Cost

Enterprise users find Amazon Aurora's pricing reasonable, cost-effective compared to similar products, though costly versus self-managed solutions.
Oracle Database In-Memory is costly but valued for features; however, smaller businesses struggle despite recent cost reductions.
The pricing is reasonable and not overly expensive.
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
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.
For more quotes and insights, download the Oracle Database In-Memory report
SP
Adnan Shafiq - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Valuable Features

Amazon Aurora offers scalability, AWS integration, high availability, speed, and features enhancing performance, cost-efficiency, and operational ease.
Oracle Database In-Memory boosts performance with fast transactions, real-time capabilities, advanced security, and efficient memory management for large datasets.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
For more quotes and insights, download the Amazon Aurora report
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.
For more quotes and insights, download the Oracle Database In-Memory report
SP
Adnan Shafiq - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Categories and Ranking

Amazon Aurora
Ranking in Relational Databases Tools
7th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Oracle Database In-Memory
Ranking in Relational Databases Tools
9th
Average Rating
8.8
Reviews Sentiment
7.9
Number of Reviews
31
Ranking in other categories
Embedded Database (3rd)
 

Mindshare comparison

As of June 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora is 3.0%, down from 4.2% compared to the previous year. The mindshare of Oracle Database In-Memory is 1.6%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools
 

Featured Reviews

Adnan Shafiq - PeerSpot reviewer
High availability and geographical redundancy ensure reliable performance and cost efficiency
Amazon Aurora ( /products/amazon-aurora-reviews ) 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 ( /products/amazon-aws-reviews ), 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 ( /products/snowflake-reviews ). This makes Amazon Aurora a compelling choice for my organization.
Read full review
Laksiri Bala - PeerSpot reviewer
Faster processing and improved memory operations have enhanced transaction and analytics efficiency
The valuable features of Oracle Database In-Memory ( /products/oracle-database-in-memory-reviews ) include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics. It also offers specific memory areas, like in-memory cache, that act as intermediaries between disk and buffer cache. This feature helps organizations handle real-time memory requirements effectively.
Read full review
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
13%
Government
6%
Manufacturing Company
5%
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
8%
Government
7%
 

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.
See all answers
What is your experience regarding pricing and costs for Amazon Aurora?
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost. I rated it as two to three on a scale where ten is very expensive.
See all answers
What needs improvement with Amazon Aurora?
Amazon Aurora should upgrade its base PostgreSQL ( /products/postgresql-reviews ) versions more frequently and offer all PostgreSQL extensions. Keeping extensions up-to-date with PostgreSQL release...
See all answers
What do you like most about Oracle Database In-Memory?
We can integrate it with any data sources as well.
See all answers
What is your experience regarding pricing and costs for Oracle Database In-Memory?
Pricing is justified by the performance and business value offered by Oracle Database In-Memory. Although slightly higher, recent reductions in cloud costs and learning opportunities, such as free ...
See all answers
What needs improvement with Oracle Database In-Memory?
Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management. Enhancing features like CAG augmentation and cache augmentation could signif...
See all answers
 

Comparisons

SQL Server vs Amazon Aurora Logo
SQL Server vs Amazon Aurora
Compared 32% of the time
Oracle Database vs Amazon Aurora Logo
Oracle Database vs Amazon Aurora
Compared 21% of the time
MariaDB vs Amazon Aurora Logo
MariaDB vs Amazon Aurora
Compared 8% of the time
Citus Data vs Amazon Aurora Logo
Citus Data vs Amazon Aurora
Compared 7% of the time
YugabyteDB vs Amazon Aurora Logo
YugabyteDB vs Amazon Aurora
Compared 7% of the time
More Amazon Aurora Competitors
SAP HANA vs Oracle Database In-Memory Logo
SAP HANA vs Oracle Database In-Memory
Compared 23% of the time
DuckDB vs Oracle Database In-Memory Logo
DuckDB vs Oracle Database In-Memory
Compared 14% of the time
SQL Server vs Oracle Database In-Memory Logo
SQL Server vs Oracle Database In-Memory
Compared 13% of the time
Progress OpenEdge RDBMS vs Oracle Database In-Memory Logo
Progress OpenEdge RDBMS vs Oracle Database In-Memory
Compared 9% of the time
InterSystems Caché vs Oracle Database In-Memory Logo
InterSystems Caché vs Oracle Database In-Memory
Compared 6% of the time
More Oracle Database In-Memory Competitors
 

Product Reports

Buyer's Guide
Amazon Aurora
June 2025
Amazon Aurora reportDownload Amazon Aurora product report
Buyer's Guide
Oracle Database In-Memory
May 2025
Oracle Database In-Memory reportDownload Oracle Database In-Memory product report
 

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)

Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

For more information on Oracle Database In-Memory, visit Oracle.com

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 2025
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