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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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Learn MorePros of MonetDB
Pros of MySQL
Pros of PostgreSQL
Pros of MonetDB
- High Performance2
Pros of MySQL
- Sql800
- Free679
- Easy562
- Widely used528
- Open source490
- High availability180
- Cross-platform support160
- Great community104
- Secure79
- Full-text indexing and searching75
- Fast, open, available26
- Reliable16
- SSL support16
- Robust15
- Enterprise Version9
- Easy to set up on all platforms7
- NoSQL access to JSON data type3
- Relational database1
- Easy, light, scalable1
- Sequel Pro (best SQL GUI)1
- Replica Support1
Pros of PostgreSQL
- Relational database764
- High availability510
- Enterprise class database439
- Sql383
- Sql + nosql304
- Great community173
- Easy to setup147
- Heroku131
- Secure by default130
- Postgis113
- Supports Key-Value50
- Great JSON support48
- Cross platform34
- Extensible33
- Replication28
- Triggers26
- Multiversion concurrency control23
- Rollback23
- Open source21
- Heroku Add-on18
- Stable, Simple and Good Performance17
- Powerful15
- Lets be serious, what other SQL DB would you go for?13
- Good documentation11
- Scalable9
- Free8
- Reliable8
- Intelligent optimizer8
- Transactional DDL7
- Modern7
- One stop solution for all things sql no matter the os6
- Relational database with MVCC5
- Faster Development5
- Full-Text Search4
- Developer friendly4
- Excellent source code3
- Free version3
- Great DB for Transactional system or Application3
- Relational datanbase3
- search3
- Open-source3
- Text2
- Full-text2
- Can handle up to petabytes worth of size1
- Composability1
- Multiple procedural languages supported1
- Native0
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Cons of MonetDB
Cons of MySQL
Cons of PostgreSQL
Cons of MonetDB
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Cons of MySQL
- Owned by a company with their own agenda16
- Can't roll back schema changes3
Cons of PostgreSQL
- Table/index bloatings10
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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?
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What tools integrate with MonetDB?
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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.