MonetDB vs MySQL vs PostgreSQL

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MonetDB

12
35
+ 1
2
MySQL

122.8K
103.8K
+ 1
3.7K
PostgreSQL

96.1K
80.5K
+ 1
3.5K

MonetDB vs MySQL vs PostgreSQL: What are the differences?

<MonetDB vs MySQL vs PostgreSQL>

1. **Data Storage**: MonetDB utilizes a columnar storage approach, making it suitable for read-heavy workloads with complex queries. In contrast, MySQL and PostgreSQL use traditional row storage, which is more beneficial for write-heavy applications.

2. **Parallelism Support**: MonetDB excels in parallel processing and can efficiently utilize multicore CPUs for query execution, leading to enhanced performance. On the other hand, while MySQL and PostgreSQL also support parallelism to some extent, they may not offer the same level of scalability as MonetDB in this aspect.

3. **Data Types**: PostgreSQL offers an extensive range of built-in data types, including support for arrays, JSON, and more, making it highly versatile for diverse data structures. In comparison, MySQL and MonetDB have a more limited array of data types available, which may impact the handling of complex data structures.

4. **ACID Compliance**: PostgreSQL and MySQL are both fully ACID-compliant, ensuring data integrity and consistency in transactions. MonetDB, however, focuses more on high-performance analytics and may prioritize speed over strict ACID compliance, which could be a consideration for applications requiring strong transaction guarantees.

5. **Indexing Capabilities**: PostgreSQL provides advanced indexing options like partial indexes, expression indexes, and more, allowing for efficient query optimization and performance tuning. While MySQL also offers a range of indexing techniques, MonetDB's indexing capabilities may be more limited in comparison, impacting query performance in certain scenarios.

6. **Community and Ecosystem**: MySQL and PostgreSQL have well-established communities with extensive documentation, support, and third-party tools, making them ideal choices for a wide range of applications. MonetDB, while growing in popularity, may have a smaller ecosystem and community support, which could be a factor to consider for long-term maintenance and scalability.

In Summary, MonetDB, MySQL, and PostgreSQL differ in data storage methods, parallelism support, data types, ACID compliance, indexing capabilities, and community ecosystems, impacting their suitability for various use cases.

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Pros of MonetDB
Pros of MySQL
Pros of PostgreSQL
  • 2
    High Performance
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 489
    Open source
  • 180
    High availability
  • 160
    Cross-platform support
  • 104
    Great community
  • 78
    Secure
  • 75
    Full-text indexing and searching
  • 25
    Fast, open, available
  • 16
    SSL support
  • 15
    Reliable
  • 14
    Robust
  • 8
    Enterprise Version
  • 7
    Easy to set up on all platforms
  • 2
    NoSQL access to JSON data type
  • 1
    Relational database
  • 1
    Easy, light, scalable
  • 1
    Sequel Pro (best SQL GUI)
  • 1
    Replica Support
  • 762
    Relational database
  • 510
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
  • 173
    Great community
  • 147
    Easy to setup
  • 131
    Heroku
  • 130
    Secure by default
  • 113
    Postgis
  • 50
    Supports Key-Value
  • 48
    Great JSON support
  • 34
    Cross platform
  • 32
    Extensible
  • 28
    Replication
  • 26
    Triggers
  • 23
    Rollback
  • 22
    Multiversion concurrency control
  • 21
    Open source
  • 18
    Heroku Add-on
  • 17
    Stable, Simple and Good Performance
  • 15
    Powerful
  • 13
    Lets be serious, what other SQL DB would you go for?
  • 11
    Good documentation
  • 8
    Intelligent optimizer
  • 8
    Free
  • 8
    Scalable
  • 8
    Reliable
  • 7
    Transactional DDL
  • 7
    Modern
  • 6
    One stop solution for all things sql no matter the os
  • 5
    Relational database with MVCC
  • 5
    Faster Development
  • 4
    Developer friendly
  • 4
    Full-Text Search
  • 3
    Free version
  • 3
    Great DB for Transactional system or Application
  • 3
    Relational datanbase
  • 3
    search
  • 3
    Open-source
  • 3
    Excellent source code
  • 2
    Full-text
  • 2
    Text
  • 0
    Native

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Cons of MonetDB
Cons of MySQL
Cons of PostgreSQL
    Be the first to leave a con
    • 16
      Owned by a company with their own agenda
    • 3
      Can't roll back schema changes
    • 10
      Table/index bloatings

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    - No public GitHub repository available -

    What is MonetDB?

    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.

    What is 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.

    What is 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.

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    What companies use MonetDB?
    What companies use MySQL?
    What companies use PostgreSQL?
      No companies found

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      What tools integrate with MonetDB?
      What tools integrate with MySQL?
      What tools integrate with PostgreSQL?

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      Blog Posts

      Dec 22 2021 at 5:41AM

      Pinterest

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      DigitalOcean

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      Blue Medora

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      What are some alternatives to MonetDB, MySQL, and PostgreSQL?
      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.
      MemSQL
      MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
      Clickhouse
      It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
      Vertica
      It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.
      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.
      See all alternatives