Amazon Aurora Serverless 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 #22 with an average rating of 9.0, while Oracle is ranked #9 with an average rating of 9.1. Amazon Web Services (AWS) holds a 0.4% mindshare in SQL, compared to Oracle’s 1.7% 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 Serverless

Read 3 Amazon Aurora Serverless reviews

167 Views
160 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 32 Oracle Database In-Memory reviews

1,224 Views
881 Comparison Views

100% willing to recommend

Amazon Aurora Serverless

Oracle Database In-Memory

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Executive SummaryUpdated on Mar 4, 2025

Oracle Database In-Memory and Amazon Aurora Serverless compete in enhancing database management. While Oracle offers sophisticated data analytics, Amazon's flexible and cost-effective scalability gives it an edge for businesses focused on budget and adaptability.

Features: Oracle Database In-Memory provides advanced support for complex data analytics and integrated real-time processing, allowing effective handling of sophisticated queries. Its query optimization is designed for high performance in data-intensive environments. Amazon Aurora Serverless delivers automatic capacity adjustment, minimizing the need for manual intervention in unpredictable workloads. Its serverless architecture supports flexibility and adjusts to varying demands, which is crucial for dynamic business operations.

Ease of Deployment and Customer Service: Amazon Aurora Serverless offers simplified deployment with automatic scaling and removes the necessity for manual capacity planning. This feature streamlines the setup process, providing a seamless experience. Oracle Database In-Memory, on the other hand, demands detailed planning and specialized expertise for optimization. While it requires more initial setup efforts, it supports customization needs of enterprises with intricate requirements.

Pricing and ROI: Oracle Database In-Memory involves higher upfront costs due to its advanced analytics capabilities but can offer substantial returns through enhanced data handling capacities. In contrast, Amazon Aurora Serverless employs a pay-as-you-go pricing model. This approach helps in reducing expenses associated with resource allocation and offers a quicker return on investment, especially for businesses with fluctuating resource needs.

To learn more, read our detailed Amazon Aurora Serverless vs. Oracle Database In-Memory Report (Updated: July 2025).

Buyer's Guide

Amazon Aurora Serverless vs. Oracle Database In-Memory

July 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:

Categories and Ranking

Amazon Aurora Serverless

Ranking in Relational Databases Tools

22nd

Average Rating

9.0

Reviews Sentiment

8.8

Number of Reviews

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

7.6

Number of Reviews

Ranking in other categories

Embedded Database (3rd)

Mindshare comparison

As of August 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 0.4%, up from 0.0% compared to the previous year. The mindshare of Oracle Database In-Memory is 1.7%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

MohitGupta3

Cloud Infrastructure Architect - AWS at Infopro Digital

Seamless growth management through serverless efficiency and reasonable pricing

The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure. Additionally, it is highly scalable, and its pricing model is favorable. Aurora's automatic scaling greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth. Its serverless setup allows us to manage costs effectively. Other notable features include direct integration with tools like SFTP Go for media file uploads, automatic backups ensuring data recovery, and its scalability in terms of handling growing database demands.

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Laksiri Bala

DB Architect / Consultant at Virtusa Global

Faster processing and improved memory operations have enhanced transaction and analytics efficiency

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. 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.

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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

"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."

"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."

"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."

"I find the performance features of Oracle Database In-Memory to be most beneficial."

"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."

"The most valuable aspects of this solution are the fast caching and improved performance to the database"

"The solution's ROI is excellent."

"The solution is very fast."

"Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot."

"The on-premise version is stable. We have different teams and resources for the server side, for admin, and for development. We can easily take care of all the services and applications."

"The solution's most valuable feature is its performance optimization within our hardware environment."

More Oracle Database In-Memory pros

Cons

"Aurora could improve its affordability, as it is currently considered a bit expensive."

"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."

"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."

"They should improve the solution's scalability for large databases."

"Oracle Database In-Memory is more expensive than Azure, and the support from the Oracle team is not very good, especially since they do not have a support team in our region."

"I would like Oracle Database In-Memory to include a data replication feature."

"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."

"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."

"The solution should move to the new way of writing software code with AI that is intelligent and learns."

"The product could benefit from enhancements in its graphical user interface."

"The dashboard requires some refreshment or configuration improvements."

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"The product is expensive."

"The pricing is pretty good so I rate it an eight out of ten."

"Oracle Database In-Memory is expensive."

"The platform's licensing cost needs improvement."

"There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."

"It's quite costly and it comes with a fixed price."

"The solution's pricing is high."

"I rate the pricing a zero out of ten because Database In-Memory is too costly."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Computer Software Company

10%

Government

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

In my experience, Aurora is a bit expensive. The costs depend on the size of the database.

See all answers

What needs improvement with Amazon Aurora Serverless?

Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...

See all answers

What is your primary use case for Amazon Aurora Serverless?

I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.

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?

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

See all answers

What needs improvement with Oracle Database In-Memory?

I currently don't know how Oracle Database In-Memory has benefited my organization. We recently received this query from our high management to use this In-Memory function, so we are currently in p...

See all answers

Comparisons

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Compared 100% of the time

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Compared 17% of the time

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Compared 12% of the time

DuckDB vs Oracle Database In-Memory

Compared 12% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 8% of the time

SQLite vs Oracle Database In-Memory

Compared 7% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

August 2025

Download Amazon Aurora Serverless product report

Buyer's Guide

Oracle Database In-Memory

August 2025

Download Oracle Database In-Memory product report

Overview

Amazon Aurora Serverless is a flexible, on-demand database service that automatically scales based on application needs. It removes the need for database management, allowing businesses to focus on innovation and efficiency.

This database service provides automatic rescaling of compute capacity, which makes it uniquely suited to unpredictable workloads and applications with variable demand. It integrates seamlessly with existing AWS services and supports both MySQL and PostgreSQL, ensuring high availability and durability while reducing costs associated with over-provisioning of resources. Aurora Serverless dynamically adjusts capacity, providing a cost-effective and reliable solution for cloud-native applications and serverless architectures.

What are the key features of Amazon Aurora Serverless?

Automatic Scaling: Instantly adjusts capacity in response to demand.
Managed Infrastructure: Offloads database maintenance and management tasks.
High Availability: Provides multi-AZ support to ensure uptime and reliability.
MySQL and PostgreSQL Compatibility: Supports migrations and existing applications.
Pay-Per-Use: Charges are based on the exact resources utilized.

What benefits can be found in reviews of Amazon Aurora Serverless?

Cost Savings: Helps significantly reduce infrastructure expenses.
Operational Efficiency: Frees up time for the IT team for strategic projects.
Scalability: Easily accommodates fluctuating application demands.
Integration: Works seamlessly with AWS services, enhancing service reach.
Resiliency: Robust data protection features contribute to data security.

Amazon Aurora Serverless has been widely adopted across industries such as ecommerce and online media, where demand can vary greatly and unpredictably. For instance, ecommerce platforms benefit from auto-scaling during peak shopping seasons, ensuring uninterrupted service without incurring unnecessary costs during off-peak periods. Similarly, media companies leverage its auto-scaling capabilities to manage traffic spikes during events or breaking news.

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

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Buyer's Guide

Amazon Aurora Serverless vs. Oracle Database In-Memory

July 2025

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