Sold by: DBeaver Corporation
Deployed on AWS
Free Trial
AWS Free Tier
Database management tool for relational databases
4.4
Overview
EC2-instance for the CloudBeaver open-source version. CloudBeaver Community supports all main relational databases like: PostgreSQL, MySQL, Oracle, SQL Server, Firebird and other. It provides powerful SQL-editor and data editor for data management.
Highlights
- With CloudBeaver Community you can look through and edit data from SQL databases.
- For experienced users CloudBeaver Community suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
- Data export in different formats is available out-of-the box.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.05 |
t2.micro | $0.05 |
t3.large | $0.05 |
t3.medium | $0.05 |
t2.large | $0.05 |
m5.large | $0.05 |
m4.large | $0.05 |
m5.xlarge | $0.05 |
Dimensions summary
You pay by the hour for CloudBeaver Community running on an EC2 instance you choose. The eight dimensions map to different EC2 instance types, not to software feature tiers. Each option reflects a distinct mix of compute and memory: the t2 and t3 sizes cover lighter general-purpose workloads, while the m4 and m5 sizes provide more compute and memory for heavier use. Your cost scales with which instance size you select and how many hours you run it. You can start and stop the instance on demand to manage usage.
Top-of-mind questions for buyers
CloudBeaver Community runs through a web browser to manage databases. It supports SQL, NoSQL, and cloud-native databases via one interface. You get a SQL editor with autocomplete, a Data Editor for viewing and editing rows, and data export tools. The instance type only changes compute and memory, not features.
You pay software charges only while the instance runs. A stopped instance stops accruing hourly software charges. Underlying AWS storage fees for the instance may still apply while it is stopped. You can bring the instance up and down on demand to control usage.
Your cost is the hourly rate for the instance type multiplied by hours run. Moving from a t2 or t3 size to an m4 or m5 size raises the hourly rate because those provide more compute and memory. Cost changes only when you switch instance types or run longer.
dbeaver.com+1
Helpful?
Vendor refund policy
Refund within 30 days
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Changes since 26.1.0:
AI Assistant:
- Added AI Chat to help users generate and fix queries and explore data more easily. It's integrated with the SQL Editor to run generated queries instantly. All AI features can be turned off in the Server configuration.
- Added the ability to use multiple AI configurations for working with the AI chat. Administrators can define tokens, engines, and models for OpenAI and Copilot in the Administration panel, separately for each AI configuration. After that, users can switch between these configs while using AI features.
- Added the ability to refresh the list of models for AI engines. Administrators can use the Refresh button and an API token to fetch the latest options, or manually enter the model name.
- Added the ability to cancel a response in the AI Chat to stop response generation when needed.
- The "Endpoint" setting was renamed to "API Base URL" for the OpenAI provider.
- Added AI engine icons to AI configuration profiles, making it easier to identify AI providers in the Administration panel and AI Chat configuration.
Administration:
- Added the database version and the driver version to diagnostic logs.
- Fixed the issue of fetching groups during LDAP authorization. CloudBeaver now provides all matched groups regardless of fetching errors.
- Added the Last Login time to the user form and the user table in the administration part.
Authorization:
- Added the option to upload files for certificates and keys in the SSL authorization configuration.
- Fixed an issue that caused the application to lose its connection to the database after extended uptime. Access is kept automatically during long-running sessions.
Data Editor:
- Added the References panel to the Data Editor. The panel displays related records from connected tables. Users can explore table relationships directly.
- Added the ability to export generated SQL to a .sql file from the Generate SQL dialog.
- Fixed copying of large JSON values in the Data Editor - now the full value can be copied.
- Resolved an issue where the Data Editor ignored the text previews maximum length quota. Increasing this quota now enables editing of large values.
Data Transfer:
- Added advanced data import settings, including database-specific replace methods, transaction support, bulk loading, and the option to use a separate connection for data import.
- Improved memory usage when importing large CSV files to improve the application performance.
Accessibility:
- Keyboard navigation has been added to the Log Viewer. Arrow keys allow navigation forward and backward through nodes, while the Enter and Space keys can open the log for a specific error.
- Improved accessibility for the search on the Users section in the Administration panel. The application allows focusing on the search field with the Tab key.
- Improved drag-and-drop in the Navigator Tree for objects by enlarging the auto-scroll trigger areas.
- Fixed shortcuts behavior for AZERTY keyboards. Now shortcuts like Ctrl/Cmd + Z work correctly.
- Added the ability to use the Enter or space keys to turn checkboxes on/off in the connection properties tab.
General:
- Added connection types to visually distinguish database connections using background colors across the Database Navigator and application UI.
- Improved SQL autocomplete suggestion ordering for object names. Now suggestions are sorted alphabetically.
- Added a Project Info tab containing the project description to the project context menu.
- Resolved the issue where the reverse proxy logout opened a pop-up window rather than redirecting to the same tab.
Databases:
- ClickHouse
- The driver was updated to version 0.10.0
- Improved JSON display in the Value panel
- Added support for the Map data type visualization for the Data Editor
- Databend:
- The driver was updated to version 0.4.8.
- Added support for SSL authentication.
- LibSQL: Added support for database views.
- MySQL: Fixed support for comments starting with # symbol in the SQL Editor.
- PostgreSQL
- Updated the driver to version 42.7.13.
- Added a Show full DDL option for schemas and tables to generate complete DDL, including objects within a schema and object comments and privileges.
- Fixed an error that occurred when applying filters to database nodes
- Fixed generated calls for procedures with OUT parameters
Security:
- Added a new "Auto-create users" setting for the reverse proxy provider, allowing new user creation on login. It is enabled by default.
- Fixed a security flaw allowing unauthorized users to test database connections. The application now requires proper permissions for this action, preventing malicious requests and protecting server files.
- Fixed a security flaw in the LDAP authentication process.
- Fixed a cross-site scripting vulnerability caused by unsanitized user input in the web interface.
- Resolved a security flaw related to user-controlled file paths by adding strict validation to prevent unauthorized resource access.
- Updated session handling to prevent session fixation vulnerabilities.
- Updated the PostgreSQL JDBC driver to version 42.7.13, including a fix for a high-severity security vulnerability (CVE-2026-54291).
- Fixed the critical vulnerability (CVE-2026-59873) in the tar library. The library was updated to version 7.5.22.
- Fixed the critical vulnerability (CVE-2026-9277) in the shell-quote library (updated to version 1.8.4)
- Fixed the high vulnerability (CVE-2026-10050) in the jetty-security library. The library was updated to version 12.1.11.
- Fixed the high vulnerability (CVE-2026-14257) in the brace-expansion library. The library was updated to version 5.0.8.
- Fixed the high vulnerability (GHSA-r28c-9q8g-f849) in the postcss library. The library was updated to version 8.5.18.
- Fixed the high vulnerability (GHSA-pm4m-ph32-ghv5) in the js-yaml library. The library was updated to version 5.2.2.
- Fixed the high vulnerability (CVE-2026-59880) in the immutable library. The library was updated to version 5.1.8.
- Fixed the high vulnerability (CVE-2026-59879) in the fast-uri library. The library was updated to version 4.1.3.
- Fixed the high vulnerability (CVE-2026-13311) in the shell-quote library. The library was updated to version 1.9.0.
- Fixed the high vulnerability (GHSA-gcfj-64vw-6mp9) in the axios library. The library was updated to version 1.18.0.
- Fixed the high vulnerability (CVE-2026-67213) in the nanoid library. The library was updated to version 3.3.17.
- Fixed the high vulnerability (CVE-2025-71329) in the less library. The library was updated to version 4.7.0.
- Fixed the high vulnerability (CVE-2026-13697) in the undici library. The library was updated to version 8.9.0.
- Fixed the high vulnerability (CVE-2026-18446) in the fast-uri library. The library was updated to version 4.1.2.
- Fixed the high vulnerability (CVE-2026-69152) in the brace-expansion library. The library was updated to version 5.0.9.
- Fixed the high vulnerability (GHSA-gv7w-rqvm-qjhr) in the esbuild library. The library was updated to version 0.28.1.
- Fixed the high vulnerability (CVE-2026-12143) in the form-data library. The library was updated to version 4.0.6.
Additional details
Usage instructions
Usage Instructions: Run the selected EC2 instance with CloudBeaver. Open the link http://<EC2_Instance_Public_DNS>/ to open CloudBeaver configuration wizard in a web browser. Follow the simple steps to configure your CloudBeaver. Share the link with other team-members and start working.
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By DBeaver Corporation
By Datasparc
By OpenLink Software
Top
10
In Data Analytics
Top
10
In Data Security and Governance
Top
100
In Data Integration, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
SQL Editor
Advanced SQL editor with syntax highlighting and auto-suggestion capabilities for query development and execution
Database Support
Support for multiple relational database systems including PostgreSQL, MySQL, Oracle, SQL Server, and Firebird
Data Management
Data editor functionality enabling viewing and editing of data within SQL databases
Data Export
Data export capability supporting multiple output formats
Zero-Trust Database Access Control
Enforces least privilege principle to restrict database access to only authorized users and applications, minimizing data breach risk across SQL, NoSQL, and cloud platforms.
Dynamic Data Masking
Applies dynamic data masking capabilities to protect sensitive data by obscuring or redacting information based on user permissions and access policies.
Comprehensive Audit Logging
Provides centralized auditing and logging of user activities with detailed insights and tracking of all database access and operations for compliance and security monitoring.
Unified Web-Based IDE
Offers a browser-based integrated development environment for accessing, querying, and managing multiple database types including Oracle, AWS RDS, Snowflake, and Redshift from a single interface.
Multi-Platform Deployment Options
Supports flexible deployment across EC2, Docker, Kubernetes, and AWS Fargate with integration capabilities for SAML, LDAP, SSO, API, and secret password vault systems.
Multi-Model Database Management
Supports both relational tables and RDF graphs within a single integrated database management system
Query Language Support
Provides support for SQL, SPARQL, GraphQL, ODBC/JDBC, HTTP, and MCP protocols for data access and integration
Access Control
Implements fine-grained, attribute-based access controls for secure data management
Data Virtualization and Replication
Offers advanced data virtualization, replication, and integration capabilities for data access across multiple sources
CPU Affinity Licensing
Utilizes CPU affinity-based licensing model with unlimited user connections scaled to host instance type
Standard contract
No
Customer reviews
Shivam G.
One Interface for Every Database : Solid SQL Editor and ER Diagrams
Reviewed on Jun 10, 2026
Review provided by G2
What do you like best about the product?
What genuinely stands out with DBeaver is how many databases it handles from a single interface. Whether you are working with PostgreSQL, MySQL, MongoDB or even something like Cassandra, you do not need to switch tools. The SQL editor is solid and the autocomplete actually understands your schema which saves a lot of time when writing complex queries. I also use the ER diagram view fairly often when jumping into an unfamiliar database, it gives you a quick visual of how tables relate without having to piece it together manually. And the fact that the community edition is completely free and still covers most day to day needs is honestly hard to beat.
What do you dislike about the product?
The performance can get sluggish when you are working with large datasets or running heavy queries, and sometimes the UI freezes for a few seconds which breaks your flow. Connection drops when the session has been idle for a while is another thing that comes up more than it should. The interface also has a bit of a cluttered feeling, there are a lot of panels and settings and it can feel overwhelming if you are new to it. The fact that NoSQL and cloud databases like Redshift or BigQuery are locked behind the paid Pro version is also a bit frustrating when you are used to having everything available for free. SSH tunnel setup in particular has a noticeable learning curve that the documentation does not always make easier.
What problems is the product solving and how is that benefiting you?
Before DBeaver I was using different clients for different databases which meant constant context switching and maintaining multiple tools. That created a lot of friction especially when a project touched both a relational and a NoSQL database at the same time. Now everything lives in one place and I can query, compare schemas and transfer data across databases without leaving the tool. The visual query builder in Pro also helped team members who were less comfortable with raw SQL get their work done faster. I would estimate it saves me at least 30 to 45 minutes a day just from not having to juggle multiple clients and environments.
Anonymous
It makes database management easier, but performance can be slow.
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
I really like the multi-data and data exploration capabilities of DBeaver. With this single tool, I can manage SQL Server, PostgreSQL, and MongoDB. It makes SQL and query writing easy, provides the facility to easily store tables, schemes, and relationships. Data filtering, sorting, and searching can be done very effectively. Export and import features are very useful during data analysis. The most valuable thing is that you don't have to switch between different tools repeatedly for data-based validation and distribution, which makes data verification or issue investigation during QA much faster and easier.
What do you dislike about the product?
Yes, overall DBeaver has been quite good, but there are some areas where improvement is needed, such as when working with very large datasets or complex queries, the performance sometimes feels slow. For beginners, the interface can be a bit complex because there are a lot of options and features available. Resource consumption also feels quite high, especially during large performances.
What problems is the product solving and how is that benefiting you?
I use DBeaver for data validation services, which makes it easy to manage different databases with a single tool. It reduces troubleshooting time for QA and development teams and makes managing complex queries easier.
Swarnima G.
All in one database tool that improves productivity and simplifies workflow
Reviewed on May 19, 2026
Review provided by G2
What do you like best about the product?
What I like best about DBeaver is how easy it makes working with multiple databases in one place. Instead of switching between different tools, everything is available in a single interface, which really improves daily workflow.
The UI is clean and practical, and once you get used to it, navigating through tables, queries, and schemas feels straightforward. It is not flashy, but it is efficient, which is what matters most for database work.
Integration support is another strong point. It works with a wide range of databases, so it fits well into different projects without needing extra tools. This flexibility saves a lot of setup time.
Performance is generally solid even when working with large datasets. Query execution and browsing data feels smooth in most cases, which helps when working under time pressure.
From a pricing and ROI perspective, the free version already offers a lot of value. It covers most daily needs without requiring an upgrade, which makes it a cost effective choice for individuals and teams.
Support and onboarding are decent, and while it is not heavily guided, the tool is intuitive enough that most things can be figured out quickly with basic experience.
The UI is clean and practical, and once you get used to it, navigating through tables, queries, and schemas feels straightforward. It is not flashy, but it is efficient, which is what matters most for database work.
Integration support is another strong point. It works with a wide range of databases, so it fits well into different projects without needing extra tools. This flexibility saves a lot of setup time.
Performance is generally solid even when working with large datasets. Query execution and browsing data feels smooth in most cases, which helps when working under time pressure.
From a pricing and ROI perspective, the free version already offers a lot of value. It covers most daily needs without requiring an upgrade, which makes it a cost effective choice for individuals and teams.
Support and onboarding are decent, and while it is not heavily guided, the tool is intuitive enough that most things can be figured out quickly with basic experience.
What do you dislike about the product?
One thing I do not like about DBeaver is that the interface can feel a bit cluttered at times. There are many options and panels available, which is powerful, but it can also make it harder to quickly find what you need, especially for new users.
Another challenge is performance when working with very large datasets. It generally works well, but in some cases scrolling through big tables or running heavy queries can feel slower compared to lighter tools, which can affect productivity a bit during peak work.
The onboarding experience could also be smoother. While the tool is flexible, it does not always guide new users through advanced features, so there is a bit of trial and error involved in the beginning.
From an integration perspective, it supports many databases, which is great, but setting up certain connections sometimes requires extra configuration steps that are not immediately obvious.
Overall, it is a very capable tool, but a bit more simplicity in the UI and improved performance consistency would make the experience even better.
Another challenge is performance when working with very large datasets. It generally works well, but in some cases scrolling through big tables or running heavy queries can feel slower compared to lighter tools, which can affect productivity a bit during peak work.
The onboarding experience could also be smoother. While the tool is flexible, it does not always guide new users through advanced features, so there is a bit of trial and error involved in the beginning.
From an integration perspective, it supports many databases, which is great, but setting up certain connections sometimes requires extra configuration steps that are not immediately obvious.
Overall, it is a very capable tool, but a bit more simplicity in the UI and improved performance consistency would make the experience even better.
What problems is the product solving and how is that benefiting you?
Before using DBeaver, working with different databases meant switching between multiple tools depending on the system. It slowed things down and made it harder to keep a consistent workflow across projects.
With DBeaver, everything is now in one place. It supports multiple database types in a single interface, so it is much easier to run queries, compare data, and manage schemas without constantly changing tools. This has saved a noticeable amount of time during daily work, especially when handling multiple environments at once.
Query execution and data browsing are also more efficient now. Tasks that used to take extra steps or tool switching can be done directly in one workspace, which has improved overall productivity and reduced friction in development and analysis work.
It has also helped reduce dependency on multiple paid tools since the free version already covers most use cases. Overall, it has simplified database management and made day to day work more organized and faster.
With DBeaver, everything is now in one place. It supports multiple database types in a single interface, so it is much easier to run queries, compare data, and manage schemas without constantly changing tools. This has saved a noticeable amount of time during daily work, especially when handling multiple environments at once.
Query execution and data browsing are also more efficient now. Tasks that used to take extra steps or tool switching can be done directly in one workspace, which has improved overall productivity and reduced friction in development and analysis work.
It has also helped reduce dependency on multiple paid tools since the free version already covers most use cases. Overall, it has simplified database management and made day to day work more organized and faster.
Aaron M.
Straightforward Database Setup, But the UI Feels Less Intuitive Than Competitors
Reviewed on May 01, 2026
Review provided by G2
What do you like best about the product?
It worked well when connecting to different types of databases, and I found the setup straightforward overall.
What do you dislike about the product?
It’s not very straightforward to use, and it isn’t as easy as its competitors.
What problems is the product solving and how is that benefiting you?
Connecting to MySQL databases from Linux without having to rely on the command line.
Mohit T.
DBeaver: Rock-Solid, Free Multi-Database Tool
Reviewed on May 01, 2026
Review provided by G2
What do you like best about the product?
DBeaver connects to everything I throw at it — Postgres, MySQL, SQL Server, even MongoDB — without making me buy different tools. The UI isn't winning design awards, but it's laid out well enough that I never feel lost, and performance has been rock solid with no crashes on large queries. The Community Edition is completely free, which is insane value compared to paid alternatives. Support is mostly community forums and old Stack Overflow threads, but onboarding is basically plug-and-play — install, connect, and you're off. The only place it falls short is AI; there's no intelligent query generation or natural language help, just basic schema-aware autocomplete.
What do you dislike about the product?
The UI feels clunky and dated — like a Java app from ten years ago — and navigating between tabs and connections gets messy fast. Integrations work for standard databases, but connecting to less common data sources is a huge headache with driver issues. Performance is mostly fine, but opening a database with hundreds of tables takes way too long while it scans metadata. Pricing is great for the free version, but the Enterprise edition jumps in cost quickly without adding much you'd actually need. Support is basically nonexistent unless you pay, and onboarding assumes you already know how to troubleshoot driver configs and connection strings. And the AI features? Pretty much a joke — there's nothing intelligent beyond basic autocomplete, and that sometimes gets the schema wrong anyway.
What problems is the product solving and how is that benefiting you?
DBeaver solves the headache of switching between different database tools every time I move from Postgres to MySQL to SQL Server. That benefit is huge — I keep one app open, one set of shortcuts, one way of exporting data. It also solves the problem of visualizing messy database schemas when you're joining seven tables and can't remember how they connect; the ER diagram saves me constantly. And because the Community Edition is free, I don't have to beg for a budget or install sketchy cracked software. The biggest benefit day to day is just speed — I can open it, run a query, and get out without fighting the tool or waiting for it to wake up.