We have included both, open-source tools and advanced, professional software (offering trial versions). We have selected database documenters that, we believe, are truly noteworthy.
This page is powered by a knowledgeable community that helps you make an informed decision. Oracle database allows only a single long data column per table. The limiting factor is the client workstation memory. Oracles limit for the SQLLONGVARCHAR data where the column type is CLOB is 4 gigabytes. 'Free' is the primary reason people pick DBeaver over the competition. Oracles limit for SQLLONGVARCHAR data where the column type is LONG is 2,147,483,647 bytes. Easier implementation for new people working on the repository, DBeaver, SQuirreL SQL Client, and DbVisualizer are probably your best bets out of the 9 options considered.Documentation as a single source of truth about the data is available to everyone.Data becomes understandable for non-IT members,.Help Data stewards quickly discover database schema,.However, using documentation tools has many benefits such as: This is because creating and maintaining documentation is not a top priority. MacSequel is Oracle Query tool written from the ground up for your Mac OSX. SQLines SQL Converter - SQL scripts conversion tool. SQLines Data - Data transfer, schema migration and validation tool. Automatic documentation export to user-friendly formats and easy-to-share formats (HTML, PDF, Excell )ĭevelopers (especially those working on the backend) are constantly faced with questions from non-IT teams or customers about what a given object means. Never tried it, just found this: MacSequel. SQLines provides tools to help you transfer data, convert database schema (DDL), views, stored procedures, functions, packages, triggers, queries and SQL scripts from Oracle to Microsoft SQL Server (MSSQL) and Azure SQL.Document repositories from various sources, through compatibility with many database engines,.Facilitate datasets with meaningful descriptions/aliases,.The features of documentation tools can vary widely. The tools capture all the relevant information about the metadata and make it available to the users in a convenient way (tabular or graphical). Database documentation tools support data management by creating helpful descriptions, meaningful aliases, and annotating data assets with additional elements.
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