No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon Aurora vs CloudBeaver AWS comparison

 

Comparison Buyer's Guide

Executive Summary

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 Database Management Systems (DBMS)
6th
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
21
Ranking in other categories
Relational Databases Tools (6th)
CloudBeaver AWS
Ranking in Database Management Systems (DBMS)
12th
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Database Management Systems (DBMS) category, the mindshare of Amazon Aurora is 6.0%, down from 6.4% compared to the previous year. The mindshare of CloudBeaver AWS is 0.1%. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Mindshare Distribution
ProductMindshare (%)
Amazon Aurora6.0%
CloudBeaver AWS0.1%
Other93.9%
Database Management Systems (DBMS)
 

Featured Reviews

SivashankarRajaram - PeerSpot reviewer
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.
Kevin Shah - PeerSpot reviewer
Senior Data Scientist at a consultancy with 1-10 employees
Browser-based SQL access has streamlined team collaboration but still needs faster queries and better ML integration
CloudBeaver AWS can be improved because in rendering of the queries, if it is very complex or big, the responses in the browser get slowed down. Compared to DBeaver of desktop, it is noticeably very slower on the browser of AWS and heavy data engineering can be done, but it will have very slow responses configured altogether. That needs to be maintained. Even there is no connectivity of machine learning, MLflow kind of thing where Airflow or PySpark approaches can be integrated. Python pipelines can be created but the whole end-to-end machine learning pipeline gets stuck whenever we work out with DBeaver. That again is one of the issues that I would look out for to improve. Also, I need to maintain the infrastructure perfectly here. I need to manage it and need to identify the risks as well. The whole proper setup of VPCs or IAMs needs to be done. It is not a NLQ kind of thing. User queries need to be configured in manual approaches, not automated currently. It should be automated now. Debugging is very painful. That again is a vague approach here. Errors can be executed and we will not be getting out the clarity as well. During this whole approach, the logs are not perfect and intuitive and debugging is also very limited. The user interface and documentation look good, but I would still suggest improvements.

Quotes from Members

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

Pros

"Cost-wise, switching to Amazon Aurora is beneficial, saving me around $60,000 per year."
"Aurora is the best service within AWS products for our needs."
"Another advantage is that with AWS handling administration, responsibilities like database provisioning and maintenance are significantly reduced."
"My overall experience with Amazon Aurora is very positive. I rate it ten out of ten for its reliability and efficiency."
"They now offer some really good scaling and limitless versions that are available to me, which I find very impressive."
"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."
"The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our data was mostly in English."
"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."
"CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database."
"Since using CloudBeaver AWS, my organization has experienced many positive outcomes."
 

Cons

"In my experience, I didn't see the claimed speed, and when you factor in the cost, or the extra cost of Aurora compared to a normal database, it didn't justify the cost from a performance standpoint, but it did justify the cost because we didn't have to have multiple instances, Redis caches, and other things like that."
"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."
"While Amazon Aurora meets your current scaling and storage needs, there is room for improvement in cryptography and scalability compared to other databases."
"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."
"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."
"Room for improvement might be in the UI, integrations, or data working capabilities for better user experience."
"The product's distributed query process for MySQL needs improvement."
"I would like to see more AI-related features in future releases."
"CloudBeaver AWS can be improved because in rendering of the queries, if it is very complex or big, the responses in the browser get slowed down; compared to DBeaver of desktop, it is noticeably very slower on the browser of AWS and heavy data engineering can be done, but it will have very slow responses configured altogether."
"While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved."
 

Pricing and Cost Advice

"It is an expensive solution."
"The price could be lower compared to its competitors."
"It is quite expensive."
"I would rate the pricing a six out of ten, with ten being expensive."
"The tool’s pricing depends on the instance type. For cost optimization purposes, we use the result instance category."
"There is no need to buy a license for the product. We can pay as per the use case."
Information not available
report
Use our free recommendation engine to learn which Database Management Systems (DBMS) solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Healthcare Company
6%
Construction Company
40%
Financial Services Firm
8%
Transportation Company
7%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise14
No data available
 

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. ...
What needs improvement with Amazon Aurora?
I would like to see some tutorials from Amazon for Aurora because I'm too new to it. I believe Amazon can make more tutorials for the product since there's a lot of reading required, and a short tu...
What is your primary use case for Amazon Aurora?
The migration process to Amazon Aurora is the best part; it's one of its key strengths, as we hardly had any hiccups during migration, which was very smooth and pretty straightforward given our dat...
What needs improvement with CloudBeaver AWS?
CloudBeaver AWS can be improved because in rendering of the queries, if it is very complex or big, the responses in the browser get slowed down. Compared to DBeaver of desktop, it is noticeably ver...
What is your primary use case for CloudBeaver AWS?
My main use case for CloudBeaver AWS is web-based database access that I can utilize for my entire distributed teams for training and modeling machine learning use cases. For any centralized databa...
What advice do you have for others considering CloudBeaver AWS?
I totally recommend others looking into using CloudBeaver AWS to work it out. It is very smooth, but if you are a data scientist, then your end-to-end approach will not be perfectly worked. All the...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel
Information Not Available
Find out what your peers are saying about Amazon Aurora vs. CloudBeaver AWS and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.