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Explore Oracle with Azimutt

Tables Relations Types Statistics Query history Triggers Procedures Query data

Oracle is a powerful, enterprise-grade relational database designed for handling mission-critical applications and large-scale data. Known for its exceptional performance, scalability, and advanced security, it has features like real-time data processing and multi-model data support, providing businesses a robust solution to efficiently manage and analyze large volumes of data while ensuring security and compliance.

Azimutt is making the first database explorer targeted for real world databases: large, heterogeneous and messy 😅 If you ever looked for an Entity-Relationship diagram tool (ERD) or drew your database schema on a sheet or whiteboard, Azimutt is made for you. But it goes well beyond that with database documentation, cross-database data exploration and even linter and monitoring of your database.

The Oracle connector is available on Azimutt GitHub. Feel free to have a look and even suggest improvements.
The heart of its behavior is the getSchema in src/oracle.ts file. It gets the Oracle schema.

Not only it gets the database schema, but it also infers:

  • Polymorphic relations
  • JSON column schema

How to use it #

Using the Oracle connector in Azimutt is really easy:

  • Launch the Gateway, if needed (for the local one use npx azimutt@latest gateway)
  • Create a new project or add a source to an existing one
  • Fill your Oracle database url (ex: oracle:thin:user/pass@localhost:1521/FREE)
Azimutt create project

Here are more details about how Azimutt secure your data and especially your database url.

If you miss an Oracle database, you can launch a free one with Docker:

docker run --name oracle_sample -p 1521:1521 -e ORACLE_PWD=oracle container-registry.oracle.com/database/free:23.4.0.0-lite

You can use this sample script to populate it.

Here is what you can do with Azimutt: Azimutt diagram

Other connectors you may want to check:

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MySQL

The world's most popular open-source relational database, widely used for web applications. Now accessible within Azimutt.

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MongoDB

A NoSQL database designed for flexible, document-oriented storage and scalability. Collection schema and relations are inferred in Azimutt.

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BigQuery

Google’s fully-managed, serverless data warehouse for large-scale analytics using SQL. Discover your datasets with Azimutt.