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  5. Oracle PL/SQL vs Sybase

Oracle PL/SQL vs Sybase

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8
Sybase
Sybase
Stacks41
Followers80
Votes10

Oracle PL/SQL vs Sybase: What are the differences?

Introduction

Oracle PL/SQL and Sybase are both popular relational database management systems (RDBMS) that offer robust solutions for managing and manipulating data. However, there are several key differences between the two platforms. In this comparison, we will highlight some of the most significant distinctions between Oracle PL/SQL and Sybase.

  1. Syntax: When it comes to syntax, Oracle PL/SQL and Sybase have some notable differences. Oracle PL/SQL uses a block structure that begins with the DECLARE keyword, followed by the variable declarations, and then the actual code. On the other hand, Sybase uses a more traditional procedural programming syntax with explicit BEGIN and END statements to define code blocks.

  2. Exception Handling: Exception handling is another area where Oracle PL/SQL and Sybase diverge. Oracle PL/SQL provides a comprehensive exception handling mechanism that includes built-in exceptions and the ability to define custom exceptions. Sybase, on the other hand, requires the use of error codes and status values for handling exceptions, making it less intuitive and potentially more error-prone.

  3. Data Manipulation Language (DML) Statements: Oracle PL/SQL and Sybase also have some differences in their implementation of Data Manipulation Language (DML) statements. Oracle PL/SQL offers more advanced features and is known for its powerful SQL capabilities. Sybase, on the other hand, has a more limited set of SQL features, which may require the use of additional stored procedures or functions to achieve the desired functionality.

  4. Transaction Management: In terms of transaction management, Oracle PL/SQL and Sybase have different approaches. Oracle PL/SQL provides a robust and flexible transaction framework that allows for the use of savepoints, commit statements, and rollback statements to control data integrity. Sybase, while offering transaction management capabilities, does not provide the same level of granularity and flexibility as Oracle PL/SQL.

  5. Accessing External Data: Oracle PL/SQL and Sybase also differ in their ability to access external data sources. Oracle PL/SQL provides a range of tools and options for accessing and manipulating data from external sources, including database links, external tables, and the ability to call external procedures. Sybase, on the other hand, may require more manual effort and custom coding to achieve similar capabilities.

  6. Development Tools and Integration: Finally, Oracle PL/SQL and Sybase have different sets of development tools and integration options. Oracle PL/SQL benefits from a rich ecosystem of development tools, including Oracle SQL Developer and Oracle Developer Studio, which provide comprehensive IDEs for PL/SQL development. Sybase, while offering development tools like Sybase Central, may have fewer options and less integration with third-party development tools.

In summary, Oracle PL/SQL and Sybase differ in syntax, exception handling, DML statements, transaction management, accessing external data, and development tool options. These discrepancies can impact the development process and functionality of applications built on these platforms.

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Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
Sybase
Sybase

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

Modernize and accelerate your transaction-based applications on premise and in the cloud. This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry.

-
Faster, more secure transfer of database files; Multiversion concurrency control (MVCC); Three-system monitoring procedures
Statistics
Stacks
749
Stacks
41
Followers
598
Followers
80
Votes
8
Votes
10
Pros & Cons
Pros
  • 2
    Powerful
  • 2
    Multiple ways to accomplish the same end
  • 1
    Extensible to external langiages
  • 1
    Not mysql
  • 1
    Pl/sql
Cons
  • 2
    High commercial license cost
Pros
  • 1
    Sybase has at least 200000 from 15 years ago
  • 1
    SAP Replication server este net superior replicarii din
  • 1
    SAP Replication server is clearly superior to MS SQL Se
  • 1
    HADR does not lose data is superior to Allwayson which
  • 1
    Max number of connection is 350000
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
No integrations available

What are some alternatives to Oracle PL/SQL, Sybase?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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