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Learn MorePros of MonetDB
Pros of MySQL
Pros of PostgreSQL
Pros of MonetDB
- High Performance2
Pros of MySQL
- Sql796
- Free674
- Easy557
- Widely used527
- Open source486
- High availability180
- Cross-platform support160
- Great community104
- Secure78
- Full-text indexing and searching75
- Fast, open, available25
- SSL support15
- Reliable14
- Robust13
- Enterprise Version8
- Easy to set up on all platforms7
- NoSQL access to JSON data type2
- Relational database1
- Easy, light, scalable1
- Sequel Pro (best SQL GUI)1
- Replica Support1
Pros of PostgreSQL
- Relational database754
- High availability508
- Enterprise class database436
- Sql380
- Sql + nosql303
- Great community171
- Easy to setup145
- Heroku130
- Secure by default128
- Postgis112
- Supports Key-Value48
- Great JSON support46
- Cross platform32
- Extensible30
- Replication26
- Triggers24
- Rollback22
- Multiversion concurrency control21
- Open source20
- Heroku Add-on17
- Stable, Simple and Good Performance14
- Powerful13
- Lets be serious, what other SQL DB would you go for?12
- Good documentation9
- Scalable7
- Intelligent optimizer7
- Reliable6
- Transactional DDL6
- Modern6
- Free5
- One stop solution for all things sql no matter the os5
- Relational database with MVCC4
- Faster Development3
- Full-Text Search3
- Developer friendly3
- Excellent source code2
- search2
- Great DB for Transactional system or Application2
- Full-text1
- Free version1
- Open-source1
- Text1
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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 agenda15
- Can't roll back schema changes2
Cons of PostgreSQL
- Table/index bloatings9
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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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Jobs that mention MonetDB, MySQL, and PostgreSQL as a desired skillset
What companies use MonetDB?
What companies use MySQL?
What companies use PostgreSQL?
What companies use MonetDB?
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What companies use PostgreSQL?
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What tools integrate with MonetDB?
What tools integrate with MySQL?
What tools integrate with PostgreSQL?
What tools integrate with MonetDB?
What tools integrate with MySQL?
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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.