My main use case for CloudBeaver AWS is connecting to databases on AWS, and I typically use it to make it easy for our employees to connect to the database in the easiest manner.
CloudBeaver AWS
DBeaver CorporationExternal reviews
External reviews are not included in the AWS star rating for the product.
Centralized database access has improved security, governance, and collaboration across teams
What is our primary use case?
What is most valuable?
The best features CloudBeaver AWS offers in my experience are its ability to provide secure, centralized access to all our AWS-hosted databases for our engineering and support teams. It allows team members to safely query and troubleshoot data without requiring direct database credentials or client configuration. I rely on CloudBeaver AWS for controlled access, auditability, and ease of collaboration, especially when multiple teams need read-only or limited write access across different environments. It is valuable for security, compliance, cost justification, and engineering productivity.
CloudBeaver AWS is a better tool for connecting to RDS databases. It is easy to set up and easy to use on any platform, such as EKS or even a Docker container. I can configure it and easily connect. There is no need to access the AWS cloud environment; I can directly access CloudBeaver AWS itself. This eases the load on the database connection.
In addition to the core functionality, I have found the role-based access control integration with AWS IAM to be particularly valuable, as it aligns well with our existing security model. Without configuring a separate IAM under the tool, I can merge CloudBeaver AWS with AWS IAM. Features such as session management, read-only access, and centralized connection management have helped us enforce governance while still enabling teams to work efficiently across environments.
CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database. It has provided easy, centralized access to hosted databases, eliminating complex local setups. Security governance has also improved; role-based access control and IAM integration ensure that only authorized users can audit and query sensitive data.
What needs improvement?
While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved. Enhanced support for more advanced query visualization and analytics features would be useful for our data teams. Performance optimization for very large datasets could also help. More granular auditing and alerting features would strengthen the security perspective. In terms of security, I can improve more of the features of CloudBeaver AWS. I could bring in encryption functionality and also store the database credentials in the AWS Secret Manager to integrate it with more AWS services.
An additional area that could be improved is the user interface for managing multiple databases, including a more streamlined interface for managing multiple connections, better handling of long-running queries, and deeper integration with AWS services and other services to support larger teams with complex workflows. Instead of manually installing CloudBeaver AWS, I could directly attach it to the CI/CD pipeline. That would increase productivity. I could easily and directly connect the database endpoint to CloudBeaver AWS, which would be a more time-saving method, rather than manually going to the CloudBeaver AWS console and entering each database endpoint, username, password, and database name.
In addition, it would be valuable if I could combine the AWS SSM Manager with CloudBeaver AWS to connect easily using localhost. That would be beneficial for configuring a bastion host. Some environments, companies, or organizations prefer using a bastion host over a VPN, so for them, that would be a great addition.
For how long have I used the solution?
I have been using CloudBeaver AWS for six months.
What other advice do I have?
For teams considering CloudBeaver AWS, I recommend starting by clearly defining your access security requirements since role-based access and IAM integrations are key strengths of the platform. Take advantage of centralized connection management to reduce operational overhead and ensure consistency across environments. Also, invest some time in training the team on query management and session handling to get the most out of the interface. Overall, it is a great tool for securely enabling collaboration across multiple environments. Before diving deep into CloudBeaver AWS, it would be better to learn some concepts of the tool. I have given this product a rating of 8.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Feature-Rich, Versatile Database Client for Developers
All-in-One Database Tool with Powerful SQL Editor and Clean UI
Super Easy Database Management with DBeaver
Excellent SQL Tool for Effortless Data Exploration
I really like the way it helps me manage my databases, the UI is very good simple to use
A powerful, open-source database management tool that served purpose to check sqlite database.
Great all-in-one SQL tool for everyday database work
Nice PostgreSQL Client
* Easy to use
* Anyone can set it up
Otherwise, everything looks great
DBeaver is a powerful, feature-rich database tool that has become a favorite of mine.
Relational databases (MySQL, PostgreSQL, Oracle, SQL Server, etc.)
NoSQL databases (MongoDB, Cassandra, etc.)
Cloud databases (Amazon Redshift, Google BigQuery, etc.)
Allows seamless switching between different database systems
Comprehensive SQL editor with syntax highlighting and auto-completion
Visual query builder for complex SQL queries
Data viewer and editor with filtering and sorting capabilities
Schema comparison and synchronization tools
ERD (Entity Relationship Diagram) visualization
Database migration and backup utilities
Some advanced features are only available in the paid Enterprise edition
This can be limiting for users who need these features but can't justify the cost
While extensive, the documentation can be hard to navigate for specific issues
Community solutions may be required for some advanced use cases
Provides powerful SQL debugging capabilities, including step-through execution
Offers detailed execution plans and query profiling for performance analysis
Allows real-time monitoring of database sessions and locks
Supports easy examination of server logs and error messages
Development Workflow Inefficiencies:
Integrates seamlessly with version control systems for better code management
Offers a comprehensive SQL editor with syntax highlighting and auto-completion
Provides data compare and sync features for efficient testing and development
Operational Complexities:
Serves as a unified operational tool for various database management tasks
Enables easy backup and restore operations across different database types
Facilitates efficient schema and data migration between environments
Supports scheduled job management and monitoring