Overview

    CloudBeaver is a new universal interface for data management developed by the DBeaver team. CloudBeaver is especially adapted for AWS Cloud services. This is the light web-application that you can share among all AWS users within your company. CloudBeaver allows:

    • view and edit data and metadata of your databases
    • export data from tables
    • run SQL-queries for SQL and NoSQL databases
    • view ER-diagrams for database objects and export them. Out-of-the-box CloudBeaver supports: AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB and Keyspaces. You can also create connections to your custom databases. Tens drivers are already included.

    Highlights

    • CloudBeaver works easily with your databases in AWS. In a few clicks you can setup a CloudBeaver server with connections to all your AWS and third-party databases. These connections are available for all users in your company and consider AWS permissions.
    • CloudBeaver shows data from SQL and NoSQL databases as tables or in JSON view. For experienced users CloudBeaver suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
    • You can look at the structure of your database on ER-diagrams. ER-diagrams are available for databases, schemas and tables.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t3.large) in the US East (N. Virginia) Region. View pricing details

    $1.583/hour

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product at no cost for 30 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.

    CloudBeaver AWS

     Info
    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 covering 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.

    Usage costs (10)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.micro
    AWS Free Tier
    $0.20
    $0.012
    $0.212
    t2.medium
    $0.60
    $0.046
    $0.646
    t2.large
    $1.50
    $0.093
    $1.593
    t3.medium
    $0.60
    $0.042
    $0.642
    t3.large
    Recommended
    $1.50
    $0.083
    $1.583
    m4.large
    $1.50
    $0.10
    $1.60
    m5.large
    $1.50
    $0.096
    $1.596
    m5.xlarge
    $2.80
    $0.192
    $2.992
    m5.2xlarge
    $4.60
    $0.384
    $4.984
    m5.4xlarge
    $8.60
    $0.768
    $9.368

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    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.

    Usage information

     Info

    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 24.1.0: General:

    • Session Manager was added for different databases: you can easily track your current sessions in a database.
    • Auto-resize and the ability to hide columns were added to the columns configuration for Query Manager.
    • Added the ability to close editor tabs with the middle mouse button.
    • Added right-click support to open the context menu in the Metadata Editor. The list of forbidden characters for naming and renaming resource manager files has been updated to include the additional characters.
    • The ability to filter catalogs and schemas on the root level was added to the Navigator Tree.
    • Data types and other navigator tree icons were redesigned.
    • French language support was added.

    Authentication:

    • Improved LDAP authentication: added the ability to filter users via service account parameters and the ability to specify custom unique user identifiers.
    • The ability to specify more additional headers was added for JWT.
    • Added the Session token field to AWS temporary credentials.
    • Supported AWS GovCloud regions in the Cloud Explorer.
    • The ability to connect via URL was added for AlloyDB, MySQL, MariaDB, Redshift, and Fujitsu.

    Data Editor:

    • Added additional notifications about the restricted operations.
    • Enhanced IPv6 and DateTime32 data representation for Clickhouse.
    • Data editing was fixed for DuckDB.
    • Filters and ordering were improved for Neo4j.

    SQL Editor:

    • SQL Editor auto-completion was enhanced to get column, table, and function names faster.
    • Added new AI models: gpt-4o, gpt-4-turbo, gpt-4o-mini.
    • Removed deprecated AI model: gpt-3.5-turbo-16K.
    • Fixed the dollar-quoted string parsing in the SQL Editor for PostgreSQL.
    • Changed the save script icon to a floppy disk for better recognition.
    • Improved display of the long error messages in the SQL Editor and Log viewer.
    • Improved application behavior when closing a connection - open editors won't be closed on disconnect.

    Administration:

    • Redesigned administration navigation panel - now it is more compact and clear.
    • Added the ability to change the default commit mode for each connection separately.

    Domain Manager:

    • Now administrators have an easy way to create a server domain for the application in the Easy config or Administration part.
    • Added the ability to configure a custom domain and custom SSL certificate.
    • Added the ability to delete existing product domains.

    Security:

    • Credentials encryption was enhanced.
    • All major CVEs in third-party libraries were resolved.

    Databases:

    • Added Huawei GaussDB driver
    • Added the Keep alive setting for Db2 LUW and IMB i, Apache Kyuubi, Clickhouse, Firebird, and Trino.
    • DDL generation for Oracle Tablespaces was added.
    • Connection stability was significantly improved for Redshift.
    • Altibase now supports non-schema objects like Job, Database Link, Directory, Library, and Server properties.
    • MongoDB/DocumentDB JavaScript code support was improved.
    • Legacy Couchbase driver was removed.
    • DDL display for a view was added together with the ability to display the list of table partitions, indexes, synonyms, serials, triggers, and procedures for CUBRID.
    • Tables and views DDL generation was enhanced for Ocient.
    • Keys connection settings were fixed for Redis.
    • Stored procedures handling in SQL Editor was fixed for Vertica.
    • BigQuery: -- The result details panel was added to the Data Editor for BigQuery: now you can see statistics about the bytes billed, total bytes processed, etc. -- Legacy SQL dialect was supported: you can choose it on the connection page. -- The connection page was redesigned: redundant fields were removed. -- Routines presentation was enhanced.

    Driver updates:

    • Apache Arrow driver to version 16.1.0
    • Apache Drill driver to version 1.21.2
    • Cassandra driver to version 4.18
    • ClickHouse driver to version 0.6.1
    • Firebird driver to version 5.0.4
    • Hana driver to version 2.20.17
    • H2 Server driver to version 2.1.214
    • Informix driver to version 4.50.10.1
    • Redshift driver to version 2.1.0.29
    • SQL Server driver to version 12.8.0
    • YugabyteCQL driver to version 4.15

    Additional details

    Usage instructions

    1. Run the selected EC2 instance with CloudBeaver.
    2. Open the link to your new EC2 instance in browser.
    3. Follow the simple steps to configure your CloudBeaver.
    4. Share the link with other team-members and start working.

    Resources

    Vendor resources

    Support

    Vendor support

    Online support support@dbeaver.com 

    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.

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    Customer reviews

    Ratings and reviews

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    137 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Varshini C.

    Super powerful front end of databse

    Reviewed on Nov 23, 2024
    Review provided by G2
    What do you like best about the product?
    Fast and convinient. We can understand the architecture and ER diagrams easily.
    What do you dislike about the product?
    The data import methods are little tricky .
    What problems is the product solving and how is that benefiting you?
    for orders for more than 3 months , Dbeaver is very helpful to retrieve the data. We can use EXecute plan and understand the cost of our queries.
    Eklavya T.

    Ease of DB management with Dbeaver

    Reviewed on Oct 23, 2024
    Review provided by G2
    What do you like best about the product?
    The best thing about it is how easy it makes the job of connecting to hosted databases. With dbeaver, there is no need to individually forward the port from cmd again and again for each and every service.
    What do you dislike about the product?
    The thing i dislike about it is the connection keeps breaking every 1 mintue if left idel. I use postgres and if no wuery has been made, it disconnect the forwarded port
    What problems is the product solving and how is that benefiting you?
    My team has hosted the database on server for the product, now to work on it, i dont need to write complex syntax on cmd. I make connection on DBeaver and use my database and tables, it provides a good Ui to interact with it aswell. It saves the queries that i make which is a big plus for the next time when i use it again.
    Banking

    Retail Credit Decisioning with DBeaver

    Reviewed on Oct 16, 2024
    Review provided by G2
    What do you like best about the product?
    Data Integration: DBeaver provides seamless integration with a wide variety of data sources like Oracle and MS SQL
    What do you dislike about the product?
    Default drivers coming with the DBeaver doesn't generally work and it's difficult to identify compatible drivers.
    What problems is the product solving and how is that benefiting you?
    Easy integration with Oracle and MS SQL makes it easy to perform analysis and create the policies to evaluate credit risk in real time allows accurate decision making for loan approvals.
    Yuriy P.

    DBeaver is a powerful, feature-rich database tool that has become a favorite of mine.

    Reviewed on Sep 25, 2024
    Review provided by G2
    What do you like best about the product?
    Supports a vast array of database types, including:

    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
    What do you dislike about the product?
    Enterprise Features Locked:

    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
    What problems is the product solving and how is that benefiting you?
    Debugging and Troubleshooting Challenges:

    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
    Asaf S.

    Powerful Database Management Tool

    Reviewed on Sep 13, 2024
    Review provided by G2
    What do you like best about the product?
    It's an all-in-one tool that supports multiple databases, with a clean interface and great features for managing queries and data.
    What do you dislike about the product?
    It can be a bit slow when handling very large databases, but overall it performs well for most tasks.
    What problems is the product solving and how is that benefiting you?
    DBeaver simplifies managing multiple databases in one place, saving time and effort. It helps with running complex queries, visualizing data, and streamlining database management.
    View all reviews