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Liquibase vs Oracle: What are the differences?
Introduction
In this article, we will discuss the key differences between Liquibase and Oracle, focusing on six specific areas.
Version Control Management: Liquibase is a database-independent, open-source tool used for tracking, managing, and applying database changes during software development. It provides a robust version control management system that allows developers to keep track of all database changes and apply them in a controlled manner. On the other hand, Oracle is a commercial relational database management system (RDBMS) that offers built-in version control features to track and manage schema changes. It provides tools like Oracle Database Change Management Pack to manage database versions, but these features are specific to Oracle databases only.
Database Independence: Liquibase is designed to be database-independent, meaning it can work with a wide range of database management systems such as MySQL, PostgreSQL, Oracle, SQL Server, etc. It provides a unified XML or YAML-based format to define database changes and can apply these changes to different database types without any modification. In contrast, Oracle is a proprietary RDBMS developed by Oracle Corporation and is primarily designed to work with Oracle databases. While it supports features like PL/SQL and SQL, it may not provide the same level of compatibility when used with other database systems.
Deployment Flexibility: Liquibase allows developers to manage database changes using simple XML or YAML files that can be easily version-controlled alongside the application code. These files can be executed as part of the application deployment process, making it easy to apply database changes along with the software updates. Oracle, on the other hand, requires more complex tools and processes to deploy database changes. It often involves generating SQL scripts, using specialized tools like SQL*Plus or Oracle SQL Developer, and executing these scripts on the target database server.
Community Support and Ecosystem: Liquibase benefits from a vibrant open-source community that actively contributes to its development and provides support through forums, documentation, and plugins. It offers a wide range of integrations with popular development frameworks and build tools like Maven, Gradle, Spring Boot, etc. Oracle, being a commercial product, also has a strong community but may require a paid support subscription for accessing advanced support services. It offers a broader ecosystem of tools and technologies such as Oracle Application Express (APEX), Oracle Data Integrator (ODI), Oracle Fusion Middleware, etc.
Ease of Use and Learning Curve: Liquibase aims to provide a simple and intuitive interface for managing database changes. The declarative nature of its changelog files makes it easy to understand and maintain. Developers can define changes using familiar SQL or specialized Liquibase tags. On the other hand, Oracle's management tools and processes have a steeper learning curve. It requires mastering SQL and PL/SQL along with understanding Oracle-specific concepts like tablespaces, schemas, data files, etc.
License and Cost: Liquibase is an open-source tool released under the Apache License 2.0, which means it is free to use, modify, and distribute. It is well-suited for small to medium-sized projects where cost is a significant consideration. Oracle, being a commercial product, requires a paid license to use in production environments. The cost of Oracle licenses can vary based on factors like the edition, number of users, and deployment options. For larger enterprise projects, the cost of Oracle licenses might be a significant consideration.
In summary, Liquibase offers a database-independent, open-source approach to version control management, providing flexibility, ease of use, and a vibrant community support. On the other hand, Oracle provides a robust commercial RDBMS solution with built-in version control features, a wide ecosystem, and enterprise-grade support, but it is more tightly coupled with Oracle databases and associated licensing costs.
We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.
We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.
In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.
MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.
Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.
Pros of Liquibase
- Many DBs supported18
- Great database tool18
- Easy setup12
- Database independent migration scripts8
- Database version controller5
- Unique open source tool5
- Precondition checking2
- Supports NoSQL and Graph DBs1
Pros of Oracle
- Reliable44
- Enterprise33
- High Availability15
- Expensive5
- Hard to maintain5
- Maintainable4
- Hard to use4
- High complexity3
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Cons of Liquibase
- Documentation is disorganized5
- No vendor specifics in XML format - needs workarounds5
Cons of Oracle
- Expensive14