Amazon Aurora Serverless vs Oracle Database In-Memory comparison

Amazon Aurora Serverless vs. Oracle Database In-Memory

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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

7.9

Number of Reviews

Ranking in other categories

Embedded Database (3rd)

Mindshare comparison

As of June 2025, in the Relational Databases Tools category, the mindshare of Amazon Aurora Serverless is 0.3%, up from 0.0% 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

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 ( /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

Quotes from Members

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

Pros

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

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

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

"The scalability is very good."

"It efficiently handles low-code data and supports read-and-write operations for clustering."

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

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

"We use the tool for real-time data transfer for risk management purposes. In a trading system, conversions happen fast. We use the product to handle fast transactions with low latency."

"I like Oracle because it is a backward-compatible solution."

"Security is the most valuable feature."

"The product offers high scalability."

More Oracle Database In-Memory pros

Cons

"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."

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

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

"The solution is quite expensive."

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

"Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management."

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

"The pricing could be improved. It would ideal if it was more reasonable."

"The product could be more economical."

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

More Oracle Database In-Memory cons

Pricing and Cost Advice

Information not available

"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."

"Oracle Database In-Memory is expensive."

"The product is expensive."

"Database In-Memory is priced a bit higher than its competitors like Microsoft."

"The platform's licensing cost needs improvement."

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

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

"The solution's pricing is high."

More Oracle Database In-Memory pricing and cost advice

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859,129 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

Government

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.

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...

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.

What do you like most about Oracle Database In-Memory?

We can integrate it with any data sources as well.

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 ...

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...

Citus Data vs Amazon Aurora Serverless

Comparisons

Compared 100% of the time

More Amazon Aurora Serverless Competitors

SAP HANA vs Oracle Database In-Memory

Compared 23% of the time

DuckDB vs Oracle Database In-Memory

Compared 14% of the time

SQL Server vs Oracle Database In-Memory

Compared 13% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 8% of the time

InterSystems Caché vs Oracle Database In-Memory

Compared 6% of the time

More Oracle Database In-Memory Competitors

Product Reports

Relational Databases Tools

Download Amazon Aurora Serverless product report

Oracle Database In-Memory

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

Sample Customers

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Amazon Aurora Serverless vs. Oracle Database In-Memory