PostgreSQL 18 vs MySQL 9.5 Performance and Scalability Compared

Comparing Performance and Scalability Features

Explore the performance and scalability of PostgreSQL 18 and MySQL 9.5.

You want your database to be fast and dependable. Tests show that PostgreSQL 18 runs queries quicker than MySQL 9.5. Both PostgreSQL and MySQL offer strong performance, but PostgreSQL 18 demonstrates faster execution times in various scenarios. The table below highlights how PostgreSQL MySQL compare:

PostgreSQL 18 features a new asynchronous I/O subsystem, which helps it read from storage faster. MySQL 9.5 is known for its ease of use and reliability. When deciding between PostgreSQL MySQL, consider your specific requirements and use cases to choose the best fit for your project.

PostgreSQL MySQL Overview

Core Features for Performance

When you look at PostgreSQL MySQL, you see they work differently. PostgreSQL 18 uses asynchronous I/O for big scans. It can read lots of pages at the same time. This makes it about 30% faster on large tables than MySQL 9.5. MySQL 9.5 uses synchronous I/O, which is slower for big jobs. PostgreSQL 18 also has UUID v7 support. This keeps indexes neat and quick. The RETURNING clause in PostgreSQL 18 helps you check changes fast. It means you do not need extra triggers.

MySQL 9.5 is simple and reliable. It uses one process and a thread for each connection. This works well for many web apps. Both databases have strong indexing. But PostgreSQL 18 supports more types like B-tree, GIN, and BRIN. This gives you more ways to make queries faster.

Here is a table that shows the main differences in how they work:

💡 Tip: If you need to support many users or run hard queries, PostgreSQL 18 often gives you better speed and more choices.

Core Features for Scalability

Scalability is important when your data or users grow. PostgreSQL MySQL both scale well, but they do it in different ways. PostgreSQL 18 uses an object-relational model. You can make custom data types and functions. This helps you handle big datasets and tough queries easily. You can use partitioning and advanced indexing to keep things fast as your database gets bigger.

MySQL 9.5 uses a simple relational model. It is easy to set up and manage for small and medium projects. It works best for jobs that read a lot and for normal apps. If you want things simple and quick, MySQL 9.5 is a good pick.

• PostgreSQL 18 is best for:

  • Handling big datasets

  • Running hard queries

  • Customizing data types and functions

• MySQL 9.5 is best for:

  • Read-only commands

  • Normal web apps

  • Small and medium projects

If you know these main features, you can pick the right database for your needs. PostgreSQL MySQL each have strong points for different kinds of projects.

Performance Comparison

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Benchmarks and Query Speed

You want your database to run fast. Recent benchmark tests show that PostgreSQL 18 is quicker than MySQL 9.5 in most cases. You can see this in both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) workloads. PostgreSQL 18 uses asynchronous I/O, which lets it read and write data without waiting. This feature helps it finish tasks faster.

Here is a simple chart that shows how PostgreSQL 18 and MySQL 9.5 compare in speed:

• PostgreSQL 18 runs most tests about 1.6 times faster than MySQL 9.5.

• You get better performance with PostgreSQL 18 when you run big queries or handle lots of users.

• MySQL 9.5 is reliable, but it does not match PostgreSQL 18 in speed for large jobs.

🏆 Tip: If you need your database to answer questions quickly, PostgreSQL 18 is a strong choice.

Write-Heavy vs. Read-Heavy Workloads

You may need your database to handle lots of writing, like saving new records or updating data. PostgreSQL 18 is built for this. It uses buffering and caching to make writing faster. You can process batches of data, which helps when you have many changes at once. MVCC (Multi-Version Concurrency Control) lets PostgreSQL 18 handle many writes at the same time without problems.

• PostgreSQL 18 works well for write-heavy jobs, such as logging, analytics, or apps with many users adding data.

• You can run complex transactions and big updates without slowing down.

• MySQL 9.5 is good for read-heavy jobs, like showing web pages or searching for records.

• MySQL 9.5 handles simple reads quickly, but PostgreSQL 18 is better for tough write jobs.

💡 Note: If your app needs to save lots of new data or run big updates, PostgreSQL 18 gives you more speed and flexibility.

Concurrency and Transactions

You want your database to handle many users at once. PostgreSQL 18 uses MVCC, which means it can run many transactions at the same time. You do not have to worry about conflicts or slowdowns. This makes PostgreSQL 18 great for busy apps with lots of users.

• PostgreSQL 18 lets you run complex transactions without waiting.

• You can trust it to keep your data safe, even when many users work at once.

• MySQL 9.5 uses gap locking, which can slow things down if many users try to change data at the same time.

• PostgreSQL MySQL both support transactions, but PostgreSQL 18 handles high concurrency better.

📈 Tip: If you expect many users or need strong transaction support, PostgreSQL 18 is designed to keep your app running smoothly.

You can see that PostgreSQL MySQL each have strengths, but PostgreSQL 18 leads in speed, write performance, and handling many users at once.

Scalability Comparison

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Partitioning and Sharding

You want your database to grow as your data grows. Partitioning and sharding split data into smaller parts. This makes managing and searching data easier and faster. PostgreSQL 18 gives you advanced partitioning. You can use local indexes and scan only the data you need. Extensions like TimescaleDB and Citus help you make partitions for time-series data. They also let you shard data across servers.

MySQL 9.5 does not have built-in partitioning or sharding. You might need extra tools or custom ways to split your data.

Here is a table that shows how partitioning and sharding work in both databases:

🗂️ Tip: If your data will grow fast, PostgreSQL 18 gives you more ways to organize and scale your database.

Partitioning keeps data neat inside one server. Sharding spreads data across many servers. PostgreSQL 18 uses both to help you handle more users and bigger jobs without slowing down.

Replication and Clustering

You want your database to stay fast and safe when lots of people use it. Replication and clustering help with this. Replication makes copies of your data on other servers. Clustering links servers so they work together. PostgreSQL 18 supports many tools for replication and clustering, like ClusterControl, Rubyrep, Pgpool-II, Bucardo, Postgres-XC, and pgEdge.

These tools let you set up clusters that share work and keep data safe. Clustering helps with speed and fault tolerance. If one server fails, others keep working. Replication helps you recover if something goes wrong. You can use streaming and logical replication to sync data in real time.

• Clustering makes a group of servers work together. This boosts speed and keeps your database running if one server stops.

• Replication gives you backup copies of your data. This helps you recover quickly if there is a problem.

• Streaming replication keeps data up to date on all servers. Logical replication copies only the changes you need.

🔄 Note: You can use replication and clustering in PostgreSQL 18 to handle more users and keep your data safe.

High Availability

You want your database to work all the time. High availability means your database keeps running, even if something fails. PostgreSQL 18 and MySQL 9.5 use different ways to do this. They use redundancy, load balancing, and failover to protect your data.

Here is a table that shows the main high availability features:

You can use tools like Percona Distribution for PostgreSQL and MySQL to set up high availability. These tools help you manage clusters, backups, and failover. You can also use Patroni for PostgreSQL to automate failover and keep your database running.

🛡️ Alert: High availability features protect your data and keep your database online, even during failures.

PostgreSQL MySQL both offer ways to scale and protect your data. PostgreSQL 18 gives you more options for partitioning, sharding, replication, and clustering. You can handle bigger jobs and keep your database working smoothly.

Real-World Use Cases

Web Applications

You want your web app to work fast. PostgreSQL 18 and MySQL 9.5 both help web apps, but they are good at different things. PostgreSQL 18 uses asynchronous I/O. This lets you line up many read requests together. It makes the disk work better and helps scans go faster. Vacuum jobs finish quicker with bitmap heap scans. The optimizer in PostgreSQL 18 uses indexes better and removes extra self-joins. Your queries run faster without changing your code. Partition-wise joins use less memory and give better cost guesses for partitioned queries.

Here is a table that shows how these features help your web app:

💡 Tip: If your web app has lots of users or big data, PostgreSQL 18 gives you more speed and choices. MySQL 9.5 is good for simple web apps that mostly read data.

Analytics and Reporting

You need your database to handle lots of data for analytics and reports. PostgreSQL 18 is great for hard queries and big datasets. You can use advanced partitioning and indexing to keep queries quick. PostgreSQL 18 can take in about 100,000 rows each second. This helps when you collect lots of data. As tables get bigger, you need to watch storage costs and check for slow queries. MySQL 9.5 works well for reports that mostly read data, like dashboards or summaries.

• PostgreSQL 18 helps with hard analytics and big data.

• MySQL 9.5 is best for simple reports and dashboards with lots of reads.

Enterprise Systems

You want your enterprise system to be strong and able to grow. PostgreSQL 18 supports custom data types and functions. This helps you build systems for finance, healthcare, or shipping. You can use partitioning and sharding to handle large datasets and keep things running fast. MySQL 9.5 is good for smaller enterprise systems that need easy setup and simple management.

• MySQL for read-heavy jobs: Great for blogs and apps with lots of reads.

• PostgreSQL for write-heavy jobs: Best for finance and apps that need strong data safety.

• PostgreSQL MySQL both have solutions for different enterprise needs.

🏢 Note: Pick PostgreSQL 18 if your enterprise system needs to grow and handle tough transactions. Choose MySQL 9.5 for simple, reliable systems with lots of reads.

Feature Comparison Table

Performance Highlights

You want your database to be fast and do many things. The table below shows how PostgreSQL 18 and MySQL 9.5 stack up on important features. You can look at the icons to see what each database does best.

Tip: PostgreSQL 18 gives you faster queries and better writing speed. MySQL 9.5 is steady for easy jobs.

Pick PostgreSQL 18 if you want more speed and cool features. MySQL 9.5 is good for simple work.

Scalability Highlights

You want your database to get bigger as you grow. The next table shows how PostgreSQL 18 and MySQL 9.5 handle more data and users. Icons help you see which features help with growth.

Note: PostgreSQL 18 has more ways to help your database grow. You can use partitioning, sharding, and clustering for big jobs. MySQL 9.5 is simple to set up for small teams.

Choose PostgreSQL 18 for big systems and hard questions. MySQL 9.5 works well for easy apps and small groups.

You need a database that fits your work. PostgreSQL 18 is great for teams that do lots of analytics. It helps big companies with hard data jobs. MySQL 9.5 is good for new businesses and small projects. It is easy to use and set up. The table below shows which database works best for each group:

Choose the database that fits your needs and work style.

Recommended reading

• SQL Optimization Course
• SQL optimization knowledge
• Database industry knowledge

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