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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 (5th)
CloudBeaver AWS
Ranking in Database Management Systems (DBMS)
9th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Database Management Systems (DBMS) category, the mindshare of Amazon Aurora is 6.1%, up from 5.4% compared to the previous year. The mindshare of CloudBeaver AWS is 0.4%. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Mindshare Distribution
ProductMindshare (%)
Amazon Aurora6.1%
CloudBeaver AWS0.4%
Other93.5%
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 Evolvision Technologies
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

"Aurora's features that I find the most beneficial include its database backup strategy, performance options, and input-output operations."
"We have seen an increase in customer satisfaction and availability with the switch from RDS to Aurora."
"Cost-wise, switching to Amazon Aurora is beneficial, saving me around $60,000 per year."
"Aurora is a key pillar for us, offering performance and availability."
"My overall experience with Amazon Aurora is very positive. I rate it ten out of ten for its reliability and efficiency."
"We had better control over the parameters that we could tweak in terms of intermediate storage and better indexing capabilities."
"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."
"The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling."
"CloudBeaver AWS has positively impacted my organization mainly by improving debugging speed, team collaboration, and operational efficiency."
"CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database."
"CloudBeaver AWS has positively impacted my organization as it reduces our mean time to resolution when verifying data discrepancies."
"CloudBeaver AWS's interactive dashboards contribute to our organization's data analysis needs, and I find it really good."
"CloudBeaver AWS has proven itself as a cost-effective, scalable, and collaborative platform for database management in the cloud."
"CloudBeaver AWS has impacted us positively in multiple ways."
"Since using CloudBeaver AWS, my organization has experienced many positive outcomes."
"My environment looks very fruitful when I look for an ideal solution for teams or organizations."
 

Cons

"Amazon Aurora should upgrade its base PostgreSQL versions more frequently and offer all PostgreSQL extensions."
"There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired."
"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."
"I would like to see more AI-related features in future releases."
"I don't use Amazon Aurora's global database feature; I just use the local feature."
"There are tuning challenges."
"There are tuning challenges. The same methods used for tuning in RDS might not work in Aurora, and some functionalities available in MySQL may not be compatible with Aurora."
"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."
"The performance of CloudBeaver AWS can sometimes lag when making connections."
"CloudBeaver's web interface slows down or freezes when handling complex queries, for example, with large PL/pgSQL statements or large complex CTEs that can reach 500 lines of queries."
"While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved."
"CloudBeaver AWS could be better if the official documentation were not sometimes too high-level."
"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."
"In terms of drawbacks, CloudBeaver AWS's cloud instances are slower than what local solutions provide. Debugging is not smooth or effective compared to what other databases provide."
"CloudBeaver AWS already covers most core database management needs very well, but a few improvements could make it even better for teams working with real-time systems and cloud monitoring."
 

Pricing and Cost Advice

"It is an expensive solution."
"The price could be lower compared to its competitors."
"There is no need to buy a license for the product. We can pay as per the use case."
"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."
"It is quite expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Healthcare Company
11%
University
11%
Manufacturing Company
8%
Construction Company
34%
Media Company
9%
Financial Services Firm
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise14
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise3
 

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?
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 h...
What is your primary use case for Amazon Aurora?
Amazon Aurora is a service provided by AWS, and we received support from AWS for our implementation. The direction we are moving toward is specifically Amazon Aurora PostgreSQL.
What needs improvement with CloudBeaver AWS?
CloudBeaver's web interface frequently slows down or freezes when handling complex workloads, such as large PL/pgSQL statements or complex Common Table Expressions (CTEs) exceeding 500 lines. The s...
What is your primary use case for CloudBeaver AWS?
My use case with CloudBeaver AWS is primarily for one customer. We were using DBeaver, but everyone needs to install that complex, heavy desktop software. The client decided that every employee sho...
What advice do you have for others considering CloudBeaver AWS?
Because our team only evaluated the solution for three months, we relied primarily on the basic SQL editor and did not deeply test the advanced collaboration features. I would rate their technical ...
 

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: June 2026.
909,725 professionals have used our research since 2012.