By
Devart
DevartdbForge Schema Compare for Oracle
What is dbForge Schema Compare for Oracle?
It is a comprehensive tool for database schema comparison and synchronization that can be used both by application developers and database administrators (DBAs). This Oracle comparison tool can become a great assistant when you need to identify the impact of changes made to your database schema, as it easily points out all differences and allows generating customized Oracle schema synchronization script.
dbForge Schema Compare for Oracle is a tool in the Databases category of a tech stack.
Key Features
Compare and synchronize Oracle database schemasAnalyze the impact of application upgrades on a databaseGenerate schema comparison reports in Excel and HTML formatsEliminate mistakes in schema changes propagation across environmentsTrack production database changes and customizationsExport Oracle schema to SQLGenerate SQL*Plus script to update one schema to match anotherMake schema snapshots for savepoints in database development processAutomate migration of schema changes using command line interfaceImprove Oracle schema versioning using source control integration
dbForge Schema Compare for Oracle Pros & Cons
Pros of dbForge Schema Compare for Oracle
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Cons of dbForge Schema Compare for Oracle
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dbForge Schema Compare for Oracle Alternatives & Comparisons
What are some alternatives to dbForge Schema Compare for Oracle?
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
