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  5. Oracle PL/SQL vs Percona Server for MongoDB

Oracle PL/SQL vs Percona Server for MongoDB

OverviewComparisonAlternatives

Overview

Percona Server for MongoDB
Percona Server for MongoDB
Stacks14
Followers27
Votes0
GitHub Stars231
Forks66
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

Oracle PL/SQL vs Percona Server for MongoDB: What are the differences?

Developers describe Oracle PL/SQL as "It is a combination of SQL along with the procedural features of programming languages". It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. On the other hand, Percona Server for MongoDB is detailed as "Open source, drop-in replacement for the MongoDB". It is a free, enhanced, fully compatible, open source, drop-in replacement for the MongoDB Community Edition that includes enterprise-grade features and functionality. Its storage engine options and enterprise-grade functionality provide enterprises with far greater flexibility for managing their database infrastructures.

Oracle PL/SQL and Percona Server for MongoDB are primarily classified as "Query Languages" and "Databases" tools respectively.

Percona Server for MongoDB is an open source tool with 92 GitHub stars and 31 GitHub forks. Here's a link to Percona Server for MongoDB's open source repository on GitHub.

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Detailed Comparison

Percona Server for MongoDB
Percona Server for MongoDB
Oracle PL/SQL
Oracle PL/SQL

It is a free, enhanced, fully compatible, open source, drop-in replacement for the MongoDB Community Edition that includes enterprise-grade features and functionality. Its storage engine options and enterprise-grade functionality provide enterprises with far greater flexibility for managing their database infrastructures.

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.

WiredTiger; MMAPv1; Percona Memory Engine; MongoRocks; Hot Backup for WiredTiger and MongoRocks; Audit Logging; External SASL Authentication; Profiling Rate Limit; Geospatial Indexes; Text Search
-
Statistics
GitHub Stars
231
GitHub Stars
-
GitHub Forks
66
GitHub Forks
-
Stacks
14
Stacks
748
Followers
27
Followers
598
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
Integrations
CentOS
CentOS
Azure Active Directory
Azure Active Directory
OpenLDAP
OpenLDAP
Debian
Debian
Ubuntu
Ubuntu
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to Percona Server for MongoDB, Oracle PL/SQL?

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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