Uses plugins architecture and provides additional functionality for the following databases: MySQL/MariaDB, PostgreSQL, Greenplum, Oracle, IBM Db2, Exasol, SQL Server, Sybase/SAP ASE, SQLite, Firebird, H2, HSQLDB, Derby, Teradata, Vertica, Netezza, Informix, etc.Has a lot of features including metadata editor, SQL editor, rich data editor, ERD, data export/import/migration, SQL execution plans, etc.You can find the list of all databases supported in commercial versions MongoDB, Cassandra, Couchbase, Redis, BigTable, DynamoDB, etc. Supports any database which has JDBC driver (which basically means - ANY database).Ĭommercial versions also support non-JDBC datasources such as Make sure to check out the DBeaver.io site to dig into how all their various features work.Free multi-platform database tool for developers, SQL programmers, database administrators and analysts. There’s a ton more development and administrative capabilities inside of DBeaver. You can now create, run, and view the results of your query in this window. If you want to try your hand at writing your own SQL queries, you can do that by clicking on the SQL Editor button. You can quickly view and edit the data in a table by right-clicking on the table and selecting view data. View Database Objectsīy expanding out northwind > schemas > public > tables you can quickly visualize all the tables in the northwind database. That’s it! You are ready to start exploring the northwind database running on a distributed SQL backend using DBeaver. Working with the Northwind Sample Database It’s always a good idea to test the connection before proceeding.Īfter the connection is setup you should be able to explore YugabyteDB (aka “PostgreSQL – northwind”) using the database navigator as shown below: Similar to PostgreSQL, password authentication for the default yugbayte user is disabled, and hence no password should be specified. If it is a fresh install, DBeaver will walk you through a wizard to get your connection set up like shown below.įor the purposes of this how-to, I’ve selected the northwind sample database. Once you are installed, let’s launch DBeaver and configure a connection to YugabyteDB. In this blog post, we are installing DBeaver community edition version 7.1.2 on Mac. DBeaver comes in two editions – Community and Enterprise. Installing DBeaver Download and Install DBeaverįirst thing to do is download the latest version of DBeaver. Please note that for the purposes of this blog post we’ll be focused on getting up and running on a Mac, but DBeaver supports all the major operating platforms. The instructions for how to get up and running in just a few minutes can be found in our previous blog post, “The Northwind PostgreSQL Sample Database Running on a Distributed SQL Database.” For the purposes of this blog post we’ll be using the northwind sample database. In a nutshell, DBeaver gives you all the must-have features you’d expect from any database GUI tool including:ĭBeaver is intuitive and there are a lot of helpful tips that can aid you in configuring and exploring your database seamlessly.īefore we get into DBeaver, you’ll need to setup YugabyteDB and install a sample database. It is written in Java, and supports a variety of databases including MySQL, PostgreSQL, MariaDB, and even YugabyteDB! In addition to the databases mentioned, there are plugins and extensions for many other data products that support the JDBC driver. What is DBeaver?ĭBeaver is a free multi-platform database management tool for developers, SQL programmers, DBAs, and analysts. YugabyteDB is PostgreSQL wire compatible and supports advanced RDBMS features like stored procedures, triggers, and UDFs. What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. (Additional posts in the series include: DataGrip from JetBrains, DbSchema, TablePlus, PGAdmin, and SQL Workbench/J.) This post is the first in a series of on-going blogs that will show you how to work with YugabyteDB using popular PostgreSQL GUI tools. You can find a comprehensive list of tools on the PostgreSQL wiki here. Over the years, the PostgreSQL community has developed several open source graphical tools for managing PostgreSQL databases, visualizing the datasets it contains, and running queries. For these scenarios, finding the right graphical tool can speed up these tasks and make you more productive. If you’re a database developer, you know that you need different SQL statements for creating schemas, ad-hoc querying, initiating backups, or troubleshooting. Editor’s note: Updated Jwith the new DBeaver wizard
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