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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Mentat vs MonetDB

Mentat vs MonetDB

OverviewComparisonAlternatives

Overview

MonetDB
MonetDB
Stacks13
Followers35
Votes2
Mentat
Mentat
Stacks199
Followers12
Votes0
GitHub Stars1.7K
Forks115

Mentat vs MonetDB: 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, MonetDB is detailed as "Column-store database". MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

Mentat and MonetDB belong to "Databases" category of the tech stack.

Mentat is an open source tool with 1.59K GitHub stars and 91 GitHub forks. Here's a link to Mentat's open source repository on GitHub.

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Detailed Comparison

MonetDB
MonetDB
Mentat
Mentat

MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

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

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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
13
Stacks
199
Followers
35
Followers
12
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    High Performance
No community feedback yet

What are some alternatives to MonetDB, 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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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