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  5. Oracle PL/SQL vs Tibero

Oracle PL/SQL vs Tibero

OverviewDecisionsComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8
Tibero
Tibero
Stacks10
Followers17
Votes11

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

  1. Language Syntax: Oracle PL/SQL follows the SQL standard and has its own procedural language constructs, while Tibero uses Transact-SQL (T-SQL), which is based on SQL Server syntax but has some differences in syntax and functions.
  2. Compatibility: Oracle PL/SQL is specific to Oracle databases, whereas Tibero supports multiple database platforms, such as Oracle, SQL Server, and MySQL, making it more versatile in a mixed-database environment.
  3. Performance: Tibero is designed to offer high performance and scalability, especially in advanced analytics and big data processing, while Oracle PL/SQL may have better integration with Oracle database features for specific applications.
  4. Cost: Oracle PL/SQL is part of the Oracle Database package, which can be expensive for smaller businesses or projects, whereas Tibero may provide a more cost-effective solution without compromising on performance or functionality.
  5. Community Support: Oracle PL/SQL has a larger user community and extensive online resources for support and troubleshooting, while Tibero may have a smaller but growing community with less available resources.
  6. Development Tools: Oracle PL/SQL has its own development tools like SQL Developer, while Tibero can be integrated with various third-party tools such as SQL Server Management Studio, offering more flexibility in the development environment.

In Summary, the key differences between Oracle PL/SQL and Tibero lie in language syntax, compatibility, performance, cost, community support, and development tools.

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Advice on Oracle PL/SQL, Tibero

Daniel
Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

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.

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Comments

Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
Tibero
Tibero

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.

It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.

-
Highly compatible with Oracle – in some cases as much as 97% compatibility; High availability (Active-Active clustering); Simple licensing model similar to SaaS subscription pricing; High performance transaction processing; Scales with commodity hardware rather than expensive proprietary database servers; Active or passive standby database capability; Hyper-thread architecture; High security database encryption; Multi-node parallel recovery; Reliable shared server; Tibero Enterprise Edition is all inclusive, with no additional products to purchase
Statistics
Stacks
749
Stacks
10
Followers
598
Followers
17
Votes
8
Votes
11
Pros & Cons
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Pl/sql
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Pros
  • 1
    Highly compatible with Oracle
  • 1
    High availability (Active-Active clustering)
  • 1
    Simple Licensing model
  • 1
    Lower TCO
  • 1
    High performance transaction processing
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
Oracle
Oracle

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

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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