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  1. Stackups
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  4. Databases
  5. Mentat vs Oracle PL/SQL

Mentat vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8
Mentat
Mentat
Stacks199
Followers12
Votes0
GitHub Stars1.7K
Forks115

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

Developers describe Mentat as "* persistent, relational store by Mozilla*". Project Mentat is a persistent, embedded knowledge base. It draws heavily on DataScript and Datomic Mentat is implemented in Rust.. On the other hand, Oracle PL/SQL is detailed 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.

Mentat and Oracle PL/SQL are primarily classified as "Databases" and "Query Languages" tools respectively.

Mentat is an open source tool with 1.58K GitHub stars and 90 GitHub forks. Here's a link to Mentat's open source repository on GitHub.

Matrix Absence Management Inc, Pre2000, and CUBE are some of the popular companies that use Oracle PL/SQL, whereas Mentat is used by InnoGames GmbH, unfoldingWord, and Ant Media. Oracle PL/SQL has a broader approval, being mentioned in 12 company stacks & 31 developers stacks; compared to Mentat, which is listed in 5 company stacks and 5 developer stacks.

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Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
Mentat
Mentat

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.

Project Mentat is a persistent, embedded knowledge base. It draws heavily on DataScript and Datomic. Mentat is implemented in Rust.

-
Flexible rotational store; Makes it easy to describe, grow, and reuse your domain schema
Statistics
GitHub Stars
-
GitHub Stars
1.7K
GitHub Forks
-
GitHub Forks
115
Stacks
748
Stacks
199
Followers
598
Followers
12
Votes
8
Votes
0
Pros & Cons
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
No community feedback yet
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, Mentat?

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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