Amazon Aurora vs Oracle Java DB 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 #19 with an average rating of 9.0. Amazon Web Services (AWS) holds a 3.0% mindshare in SQL, compared to Oracle’s 0.8% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 71% 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 Java DB

Read 9 Oracle Java DB reviews

501 Views
171 Comparison Views

71% willing to recommend

Amazon Aurora

Oracle Java DB

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Executive SummaryUpdated on Mar 4, 2025

Oracle Java DB and Amazon Aurora compete in the database solutions category. Amazon Aurora appears to have the upper hand due to its robust features, making it ideal for those needing advanced capabilities.

Features: Oracle Java DB integrates seamlessly with Java and offers a lightweight architecture, facilitating straightforward development. It also provides a secure environment with its Java stored procedures and reliable concurrent sessions. Amazon Aurora offers high-performance transaction processing, scalability, and auto-scaling features. It supports seamless integration with other AWS services and offers advanced options like custom read and write endpoints.

Room for Improvement: Oracle Java DB could improve by offering better cloud integration and advanced analytics capabilities. It lacks extensive support for large-scale data handling and advanced backup options like its competitor. Amazon Aurora might enhance its user interface for easier navigation. While it offers automated features, more customization options for specific business needs could be beneficial. Additionally, improving documentation for novice users would be helpful.

Ease of Deployment and Customer Service: Amazon Aurora benefits from integration with AWS, providing flexible and scalable deployment models. Customer service is well-supported by AWS's vast resources. Oracle Java DB offers a simple setup and easy management, more suitable for smaller-scale applications. However, it doesn't match the extensive cloud integration and resources available through Amazon Aurora.

Pricing and ROI: Oracle Java DB presents a cost-effective setup, ideal for budget-constrained teams, offering reasonable ROI due to low maintenance costs. Amazon Aurora, despite higher initial costs, promises potentially greater ROI through its advanced features and scalability, targeting larger businesses ready to invest in comprehensive solutions for long-term benefits.

To learn more, read our detailed Amazon Aurora vs. Oracle Java DB Report (Updated: June 2025).

Buyer's Guide

Amazon Aurora vs. Oracle Java DB

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:

Categories and Ranking

Amazon Aurora

Ranking in Relational Databases Tools

7th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Java DB

Ranking in Relational Databases Tools

19th

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Java DB is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools

Featured Reviews

Adnan Shafiq

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

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.

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Anil-Sinha

Senior Consultant at CGI

Able to process all the reporting and processing in the database itself

We have been upgrading and moving to new environments. I was involved in the solution's initial setup. Some things in the setup are very smooth sailing. However, some setups become complicated because what they set up doesn't meet your needs. So, some tweaking is necessary in certain instances. Having a good understanding of the tool really helps. Oracle Java DB is easy to deploy if it's a new setup. Migrating from an old environment to a new environment takes time because you need the old functionality. A first-time deployment of the application is easy. We just did a default setup and started using it. When we have to migrate, there is too much baggage behind that application, especially from the security point of view.

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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 is that the maintainability is offloaded to the service provider. I don't have to maintain a database or do any administrative tasks, which comes in handy."

"The most valuable feature is the ability to do multiple-read and single-write. These are the kinds of features that we were interested in, and Aurora takes care of that natively."

"One of the standout features of Amazon Aurora is that we do not need to maintain disaster recovery or manage availability zones."

"The solution’s scalability is good since we don’t need to take a maintenance window during unpredictable workloads. I like the solution’s behind-the-scenes happenings. It is a great feature."

"My overall experience with Amazon Aurora is very positive. I rate it ten out of ten for its reliability and efficiency."

"One of the most valuable features is storage scaling."

"Amazon Aurora is built on community databases and AWS has added additional features to it, allowing customers to have enterprise-level features at a lower cost."

"Aurora's features that I find the most beneficial include its database backup strategy, performance options, and input-output operations."

More Amazon Aurora pros

"The valuable features include connecting to the database and retrieving data."

"Able to write queries more efficiently and the management of data has become better and easier."

"The database is quite robust in terms of performance from the SQL side."

"The additional value of having Java inside the Oracle database is all the security that is applied to an Oracle database will be enforced on Java's stored procedures as well."

"The most valuable feature is automation."

"It has a programming language so anything that we require for Selenium is all available there."

"There have been no issues in relation to stability. We've never really had do to any recoveries. It is very stable."

"It's very clever."

More Oracle Java DB pros

Cons

"I would like to see more AI-related features in future releases."

"One of the most valuable features is storage scaling."

"Amazon Aurora should upgrade its base PostgreSQL versions more frequently and offer all PostgreSQL extensions."

"It is a bit costly. The features are quite good, and I wouldn't say it requires any technical improvements. But from a cost perspective, some clients wouldn't go for Aurora because of that."

"The product's distributed query process for MySQL needs improvement."

"I would like to see performance insights on the database based on the queries. Currently, we use SolarWinds as the monitoring tool. I would like to leverage SolarWinds’ performance insights in AWS services. SolarWinds gives larger insights when we run performance issues."

"There are tuning challenges."

"A challenge I noticed is during migration from PostgreSQL RDS to Amazon Aurora. There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly."

More Amazon Aurora cons

"The tool might be integrated, but we see performance issues because of overhead."

"The solution could be more user-friendly."

"The solution should continue to keep updating and improving the Java language."

"Needs improvement in consistency issues with respect to timeframes."

"In terms of improvement, I'd like an automation tool that is lower priced. The core prices are very high."

"It'll be better if Oracle Java supports open source technologies, like Node.js."

"Oracle can improve by providing more connection string variations and relay servers on the path to the database."

"The biggest lesson that I have learned from using Oracle products is vendor lock-in."

Pricing and Cost Advice

"There is no need to buy a license for the product. We can pay as per the use case."

"It is quite expensive."

"I would rate the pricing a six out of ten, with ten being expensive."

"The price could be lower compared to its competitors."

"It is an expensive solution."

"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."

"The product's pricing is very friendly, with no extra costs after the licensing fees."

"Oracle Java DB is a pricey solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

14%

Government

Manufacturing Company

Financial Services Firm

15%

Manufacturing Company

15%

Educational Organization

13%

Computer Software Company

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.

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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.

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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...

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What needs improvement with Oracle Java DB?

Oracle can improve by providing more connection string variations and relay servers on the path to the database. Various ways of connecting would enhance functionality.

See all answers

What is your primary use case for Oracle Java DB?

I have experience connecting to a database with Java by using Java code and interrogating the database.

See all answers

What advice do you have for others considering Oracle Java DB?

It's important to consider several settings and connection strings, as well as firewall rules when connecting to the database. I would rate the overall solution nine out of ten.

See all answers

Comparisons

SQL Server vs Amazon Aurora

Compared 31% of the time

Oracle Database vs Amazon Aurora

Compared 21% of the time

MariaDB vs Amazon Aurora

Compared 7% of the time

Citus Data vs Amazon Aurora

Compared 7% of the time

YugabyteDB vs Amazon Aurora

Compared 7% of the time

More Amazon Aurora Competitors

MySQL vs Oracle Java DB

Compared 43% of the time

Oracle Database vs Oracle Java DB

Compared 19% of the time

IBM Db2 Database vs Oracle Java DB

Compared 14% of the time

IBM solidDB vs Oracle Java DB

Compared 12% of the time

SQL Server vs Oracle Java DB

Compared 12% of the time

More Oracle Java DB Competitors

Product Reports

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Amazon Aurora

June 2025

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Buyer's Guide

Relational Databases Tools

June 2025

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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)

Java DB is a relational database management system (RDBMS). Data is stored and queried via SQL or JDBC. Like other RDBMSs, Java DB can also be accessed through a persistence layer such as JPA, Hibernate, or JDO. Java objects can be stored in the columns of Java DB tables.

Oracle

Sample Customers

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

Université Nice Sophia Antipolis

Buyer's Guide

Amazon Aurora vs. Oracle Java DB

June 2025

Free Report: Amazon Aurora vs. Oracle Java DB

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