Mysql Vs Postgresql Choose The Right Database For Your Project

Or, you can do your own troubleshooting by pouring over the numerous PostgreSQL manuals and booksfound here. As an open source project, MySQL has a large volunteer community that’s ready to help you with free support and recommendations. The best way to seek this kind of support is on theMySQLandPercona websites. Let’s take a look at the key features of MySQL and PostgreSQL from the perspective of why DBMS developers choose one over the other.

For example, you can arrange Employee information of an organization into columns- Employee_no, Employee_name, Gender, Department, Salary, etc. Arranging its Employees’ information in this way would be very useful for the organization to manage its employees. It uses procedural languages that make it easier for developers to expand the database.

postgresql vs mysql

Does this mean that you can’t use MySQL for your analytics project? PostgreSQL offers advanced features ideal for handling unique databases that make it easier to customize applications to user functionality. In comparison, MySQL has limited features and is less ideal for handling complex processes. The computer software industry in the United States commonly relies on MySQL for relational database management. Web development is the primary use of MySQL, which is general in industrial database management.

Is Postgresql More Secure Than Mysql?

Even these can be easily extended with PostGIS to add extra types to the native Postgres ones. The challenge of modeling and storing NoSQL data is relatively new. Generate series, allowing you to create sets of objects, such as a date range or all integers. Simply join the generated series with the original data and observe any missing spots. In that respect, both languages are capable of analyzing a wide constellation of data and answering business questions across the board. Secure implementation is the only sure protection against external negative forces.

If your use case involves analytics – or is likely to involve more complex analytical queries in the foreseeable future – choose Postgres. MySQL supports only standard SQL syntaxes, while PostgreSQL supports very advanced custom-made procedures. Additionally, if you expect to be dealing with a lot of data cleaning in your pipelines, Postgres offers more out-of-the-box solutions for wrangling messy data. With its variety of analytic functions, it will speed up and optimize your analytical operations. This makes PostgreSQL an excellent choice for your data science and big data needs. PostgreSQL and MySQL are both relational database management systems .

Mongodb Vs Mysql: Which Is The Better Database Management System?

Over the years, it proved invaluable to database developers, data analysts, DBAs, and data scientists. Let’s suppose there is a user who has a MySQL database and wants to migrate it to Postgres. It can be easily done using a helpful IDE that is specifically designed to save users’ time and effort. Also, you can use the Studio and an ODBC driver to migrate data between the two DMBS.

  • MySQL supports UNIX and TCP sockets which are reliable in data transmission across servers.
  • Views are like virtual tables that do not store data physically, and materialized views are not supported in MySQL.
  • Clustering refers to combining multiple copies of databases together and providing a single IP address for the client to read.
  • Without a WordPress database, your website won’t be able to function.
  • Online Analytical Processing and Online Transaction Processing systems where only high read speeds are necessary.

For example, stored procedures, triggers, functions, views, cursors, ANSI-standard SQL, and more. For embedded applications, plug-in libraries are available to embed MySQL database support within most applications. Almost every paradigm and language has support for MySQL and vice versa. PostgreSQL has a common storage feature called tablespaces, which can accommodate physical objects like Tables, Indexes, and Materialized Views.

After comparing both we can say that MySQL has done a great job of improving itself to keep relevant, but on the other side for PostgreSQL, you don’t need any licensing. It also offers table inheritance, rules systems, custom data types, and database events. Performance and scalability — including geospatial support and unrestricted concurrency — and deep, extensive data analysis across multiple data types.

What this means is that if you are selling your software and including the MySQL client libraries, a commercial license is required to comply with the MySQL GPLv2 license. The MySQL Connector/ODBC could also have a similar encumbrance if your software can ONLY use MySQL and packages the client libraries to function. This usage makes sense and is what many developers would expect to happen. To be standards-compliant, every place that a column is referenced must use the ORIGINAL VALUE of that column. Therefore, in a compliant SQL, if col1 started with a value of 10, it would now be 11, and col2 would be 10.

As these technologies have scaled, so too has the need for data storage. If your project is not large, does not require complex operations and you want a fast and reliable option, you should go with MySQL. Learning and troubleshooting are easy as it is supported by a large and devoted community of developers. PostgreSQL has synchronous replication where data is simultaneously replicated from source storage to target storage . Users can create custom functions made with programming languages like C/C++ or Java. Oracle owns, maintains, and runs MySQL; the organization guarantees premium-quality RDBMS support at no cost.

It can be installed on all platforms like Windows, Linux, and Mac. It is secure and is not vulnerable to MongoDB vs PostgreSQL any security vulnerabilities. Three common database features are views, triggers, and stored procedures.

Disadvantages Of Using Postgresql

It’s easy to find benchmarks that favor one database over another, depending on the hardware, the configuration, and the test. One database might do better on a single-core machine with little memory, while another can take better advantage of scaling to multiple core processors. Alternatively, you can do your own troubleshooting by diving deep into the free MySQL books, manuals and guidesfound here. What I liked best is that MySQL an open source project and that means that there are tons of thousands of supports and help is available on the internet for free.

However, developers may also need to learn the different ways of interfacing with that platform if they change languages, such as going from PHP to C++. For nearly any small to mid-sized application, either MySQL or PostgreSQL should be suitable. But for those looking at extensive resource usage or building enterprise-level applications, Oracle or Microsoft SQL may be superior, especially in the long run. For beginners, using MySQL through a hosting service is usually more advantageous. Under managed hosting services, MySQL will automatically update for you, which will improve your security. And your hosting service will have balanced your technology, software, and hardware to provide better protection and performance.


MySQL is still very fast at reading data, but only if using the old MyISAM engine. These features are absolutely critical to enterprise or consumer-scale applications, so using the old engine is not an option. On the other hand, MySQL has also been optimized to reduce the gap when it comes to heavy data writes. If your project needs a lot of complex operations and is large, or you need a feature-rich database management system with advanced security features, you should use PostgreSQL. It is ACID compliant , is SQL compliant, and supports JSON and some other NoSQL features like native XML support.

For authentication, you can use Linux PAM, LDAP, and native Windows services. Similarly, PostgreSQL has robust user and group management, but it also includes a pluggable config file. SSL is used in PostgreSQL, but not in the more weakly-encrypted MySQL. MySQL is supported by various platforms such as Unix, Linux, macOS, and Windows. This article guide will review the similarities and differences between Postgres and MySQL. MySQL community instead focuses primarily on the maintenance of existing features.

postgresql vs mysql

Explain what we mean by inherited/extended which should move you into what a child/parent table is. PostgreSQL has been in production since 1996, and MySQL since 1995. Both have found their way into the tech stacks of industry leaders across every sector. For example, companies such as Apple, Spotify, Instagram, and Reddit use PostgreSQL. While companies such as Uber, AirBnB, Netflix, and Pinterest are known to use MySQL. Data warehouses are becoming increasingly popular as many businesses, nonprofits, and municipal organizations realize the value of storing their current and historic …

What’s Good About Postgresql?

This means PostgreSQL can support objects, classes, and inheritance like an Object-Oriented databases and to support data types and tabular structures like a Relational database. In terms of collaboration, MySQL is limited in standard features when using different applications whose functionality continues to evolve. On the other hand, PostgreSQL has good support for complex features when a business is scaling in its need for robust databases. In addition, its heavy emphasis on safety and security inspired unique features such as transaction snapshots, asynchronous notifications, and triggers. JSON support remains one of the leading NoSQL features incorporated by MySQL.

PostgreSQL supports IP-based client filtering and authentication using PAM and Kerberos, while MySQL supports PAM, native windows services, and LDAP for user authentication. It supports a number of advanced data types not available in MySQL (geometric/GIS, network address types, JSONB which can be indexed, native UUID, timezone-aware timestamps). If this is not enough, you can also add your own datatypes, operators, and index types. PostgreSQL and MySQL are very similar in the uses they are put to–well, they’re relational databases, you can’t really use MySQL as a coat rack . PostgreSQL, commonly known as Postgres and MySQL, has been around for a long time.

Newbies, on the other hand, may find PostgreSQL’s learning curve excessively harsh. In comparison to the MySQL database community, the PostgreSQL support may be less substantial and active. MySQL is an excellent choice when you want the flexibility to use different data storage engines. The flexibility of “pluggable” data engines lets you incorporate data from the widest variety of tables. MySQL is currently compatible with InnoDB, MyISAM, Memory, CSV, Archive, Blackhole, NDB/NDBCLUSTER, Merge, Federated, and Example. PostgreSQL and MySQL are among the most popular open-source RDBMS.

Run Your Data Operations On A Single, Unified Platform

Initially, logical replication was supported by an extension called pglogical and has been part of the PostgreSQL core from version 10. Unlike MySQL, PostgreSQL’s replication is based on WAL files, which makes it more reliable, faster, and easier to manage. Postgres supports primary-replica and primary-to-multiple-replicas, including cascading replication. The replication in Postgres is termed as streaming or physical replication, which can be synchronous or asynchronous. Both MySQL and PostgreSQL support many data types, ranging from traditional ones (e.g., Integer, Date, Timestamp) to complex ones (e.g., JSON, XML, TEXT).

Upgrade and use the latest versions of Crystal Reports with DataFlex applications. In addition to the platform itself, you’ll also need to think about what third-party applications and integrations you’ll require for your infrastructure. While the two databases have numerous parallels and overlaps, they also have significant variances. We’ve tried to make a fair and honest comparison between the two, but in the end, you’ll need to assess your personal situation and pick the DBMS that best suits your needs. MySQL didn’t use to provide any NoSQL support but it has been recently released with its 8.0 version.

When it comes to databases PostgreSQL vs MySQL is a fairly debated and perplexing topic. Users are often confused about what to use and what will suit their purpose, which is understandable as a good developer always makes informed decisions. So, let’s first understand the key features of PostgreSQL and MySQL then we shall see the differences between them. PostgreSQL follows the SQL standards very well and supports “advanced” SQL stuff like window functions or common table expressions.

MySQL is known to be the world’s most popular database, whereas PostgreSQL is known as the world’s most advanced RDBMS database. As an RDBMS database, MySQL is not fully SQL compliant and does not have many of the features that PostgreSQL has. This is why PostgreSQL has become a great choice for developers, and its popularity is growing exponentially with each passing day. MySQL is often used for web applications that securely handle smaller amounts of data, while PostgreSQL is often utilized for larger and more complex datasets. Another frequent application for MySQL is to support a read-only reporting/visualization layer like the database you choose to power your BI tool or internal metrics.

The Connector/J interface delivers MySQL support for Java client programs that use JDBC associations. A client library written in C is available for clients written in C or C++ or any language that provides C bindings. Without a WordPress database, your website won’t be able to function.

MySQL is only partly SQL-compliant in terms of SQL compliance because it doesn’t support all the features like the no check constraint. The gap between their capabilities has significantly reduced in the last few years. MySQL is still pretty fast at reading data if you’re using the old MyISAM engine. It has also been optimized to catch up to PostgreSQL regarding heavy data writes.


See all author post
Back to top