Having a visual way to explore the database, run queries, take backups, view database schema, etc. is oftentimes quite handy. If you have your favorite SQL client and/or if you feel like using a CLI might not be the best choice for your situation, here’s a quick step-by-step guide that on connecting to AWS Aurora using a desktop client.

Universal Database Tool Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc. DBeaver is a SQL client software application and a database administration tool. For relational databases it uses the JDBC application programming interface (API) to interact with databases via a JDBC driver.

1. You should add client option to your mysql-connector allowPublicKeyRetrieval=true and useSSL=false. Example connection string. For DBeaver users v7.0.0+ Right.
2. DBeaver is a multi-platform, multi-database management tool for developers, database administrators, and analysts. DBeaver supports a variety of database engines including MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto and many others.
3. HeidiSQL, Navicat for MySQL, and DBeaver are probably your best bets out of the 15 options considered. 'Free' is the primary reason people pick HeidiSQL over the competition. This page is powered by a knowledgeable community that helps you make an informed decision.

Finding necessary connection info in AWS console

• Log in to the AWS console
• Go to RDS
• Click Database instances
• Select the instance you want to connect to
• Note the endpoint and the port number for your connection

Connecting to AWS Aurora using a desktop SQL client

I’m using DBeaver as a client, but a similar process should for the Workbench and other utilities (here’s a quick list of the tools that might work for you).

Here’re the steps for DBeaver: Powered hub for mac.

• Go to “Database”
• Select “New database connection”
• Select SQL
• Pick MySQL or MariaDB (if you’re using MySQL)
• Optional: it may prompt you to install the driver if you’re doing it for the first time. Just go through the steps in the wizard and DBeaver will find and install the driver automatically for you.
• Enter connection info: hostname (endpoint from the step above), port (from the step above), user name and password (If you’re the DB admin, you should be able to use your master user credentials you entered when setting up the cluster. If you’re not an admin – your DB admin will/should give the credentials.)
• Hit “Finish” and give it a few seconds to load

Notes:

If you got all the settings right and still have trouble connecting (e.g. getting a connection timeout error), you may want to check if your IP address was added to the security group associated with the database instance you’re trying to access. AWS is using security groups to control access from certain IP ranges and ports, and by default, this access is turned off, so you’ll need to verify if you are allowed to connect from/with the IP and port you’re using.

Useful links:

DBeaver Overview

DBeaver is a free, open source multiplatform database management tool and SQL client for developers and database administrators. DBeaver can be used to access any database or cloud application that has an ODBC or JDBC driver, such as Oracle, SQL Server, MySQl, Salesforce, or MailChimp. Devart DBeaver provides you with the most important features you'd need when working with a database in a GUI tool, such as:

• SQL queries execution
• Metadata browsing and editing
• SQL scripts management
• Data export/import
• Data backup
• DDL generation
• ER diagrams rendering
• Test data generation
• BLOB/CLOB support
• Database objects browsing
• Scrollable resultsets

The tool comes in two editions — Community and Enterprise. Enterprise Edition supports NoSQL databases, such as MongoDB or Cassandra, persistent query manager database, SSH tunneling, vector graphics (SVG) and a few other enterprise-level features. Best forum for mac. Note though that you can access a MongoDB database from DBeaver Community Edition using the respective Devart ODBC driver. For the purposes of this guide, we'll use the Community Edition of DBeaver to retrieve data from Oracle via the Open Database Connectivity driver.

Creating an ODBC Data Source to Use Oracle Data in DBeaver

1. Click the Start menu and select Control Panel.
2. Select Administrative Tools, then click ODBC Data Sources.
3. Click on the System DSN tab if you want to set up a DSN name for all users of the system or select User DSN to configure DSN only for your account.
4. Click the Add button and double-click Devart ODBC Driver for Oracle in the list.
5. Give a name to your data source and set up the connection parameters.
6. Click the Test Connection button to verify that you have properly configured the DSN.

When using ODBC driver for Oracle with DBeaver, SQL_WVARCHAR data types may be displayed incorrectly in DBeaver. To prevent this, you need to set the string data types to Ansi either in the Advanced Settings tab of the driver configuration dialog or directly in the connection string (String Types=Ansi) — all string types will be returned as SQL_CHAR, SQL_VARCHAR and SQL_LONGVARCHAR.

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Connecting to Oracle Data from DBeaver via ODBC Driver for Oracle

Follow the steps below to establish a connection to Oracle in DBeaver.

1. In the Database menu, select New Database Connection.
2. In the Connect to database wizard, select ODBC and click Next.
3. Enter the previously configured DSN in the Database/Schema field.
4. Click Test Connection. If everything goes well, you'll see the Success message.

Viewing Oracle Database Objects and Querying Data

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You can expand out the database structure in DBeaver's Database Navigator to visualize all the tables in Oracle database. To view and edit the data in a table, you need to right-click on the target table name and select View data.The content of the table will be displayed in the main workspace.

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If you want to write a custom SQL query that will include only the necessary columns from the table, you can select New SQL Editor in the SQL Editor main menu. Create your query and run it by clicking Execute SQL Statement to view the results in the same window.

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