Can I migrate from PostgreSQL to MySQL?

Yes, migration is possible but requires careful planning. We have helped clients migrate between postgresql and mysql — typical timelines range from 4-16 weeks depending on codebase size and complexity. Contact us for a free migration assessment.

Which is easier to learn, PostgreSQL or MySQL?

Both have good documentation and community support. PostgreSQL and MySQL each have a learning curve, but developers with relational databases experience can become productive within 2-4 weeks with either.

What does ZTABS recommend for new projects?

Our recommendation depends on your specific needs: team expertise, project timeline, scalability requirements, and budget. We have delivered 500+ projects with both technologies. Book a free consultation and we will recommend the best fit for your use case.

How much does postgresql vs mysql development cost?

Development costs are comparable for most projects. The biggest cost factor is team expertise, not the technology itself. A typical MVP costs $15K-$60K regardless of whether you choose PostgreSQL or MySQL. Enterprise projects range from $50K-$250K+.

Relational Databases

PostgreSQL vs MySQL

Q: Is PostgreSQL better than MySQL?

It depends on your project requirements. PostgreSQL is more feature-rich and better for complex queries. MySQL is simpler and faster for read-heavy workloads. Both are battle-tested, production-grade databases. Both are production-ready technologies that we use regularly at ZTABS.

Honest, experience-based relational databases comparison from engineers who have shipped production systems with both.

Get a Free Consultation See Full Comparison

Verdict

PostgreSQL vs MySQL: PostgreSQL is more feature-rich and better for complex queries. MySQL is simpler and faster for read-heavy workloads. Both are battle-tested, production-grade databases. Need help choosing? Get a free consultation →

PostgreSQL Wins

Ties

MySQL Wins

Fast Answer

PostgreSQL vs MySQL: Postgres wins for complex queries, JSONB, GIS, window functions, and strict SQL compliance. MySQL wins for read-heavy web workloads (WordPress, LAMP) and AWS Aurora tuning.

PostgreSQL 16 and MySQL 8.4 are both open-source RDBMS. PostgreSQL ships 4 storage engines, 35+ index types, JSONB with GIN indexes, and MVCC without row locks. MySQL (InnoDB) defaults to 151 connections, ~200K QPS on commodity hardware with tuned buffer pool. Pick PostgreSQL for analytics, complex queries, GIS; MySQL for read-heavy WordPress/Drupal/PHP stacks.

Head-to-Head Comparison

Criteria	PostgreSQL	MySQL	Winner
Feature Set	10/10	7/10	PostgreSQL
Why PostgreSQL supports JSONB, full-text search, CTEs, window functions, custom types, materialized views, and extensions. MySQL's feature set is more limited but covers most use cases.
Read Performance	8/10	9/10	MySQL
Why MySQL is slightly faster for simple read-heavy workloads (SELECT queries). PostgreSQL catches up on complex queries and write-heavy workloads.
Standards Compliance	10/10	7/10	PostgreSQL
Why PostgreSQL is the most SQL-standard-compliant database. MySQL takes liberties with SQL standards that can cause subtle bugs when migrating.
JSON Support	10/10	6/10	PostgreSQL
Why PostgreSQL's JSONB type with GIN indexes makes it a viable document-relational hybrid. MySQL's JSON support exists but lacks the indexing and query capabilities.
Ecosystem	8/10	10/10	MySQL
Why MySQL has the largest installed base and is the default for WordPress, Drupal, and most PHP applications. More hosting providers offer MySQL out of the box.
Scalability	9/10	8/10	PostgreSQL
Why PostgreSQL handles complex workloads at scale better with its query planner, parallel query execution, and partitioning. MySQL scales well for simpler read patterns.

How these scores are calculated

Scores use a 1–10 scale anchored to production behavior, not vendor marketing. 10 = production-proven at scale across multiple ZTABS deliveries with no recurring failure modes; 8–9 = reliable with documented edge cases; 6–7 = workable but with caveats that affect specific workloads; 4–5 = prototype-grade or stable only in a narrow slice; below 4 = avoid for new work. Inputs: vendor docs, GitHub issue patterns over the last 12 months, our own deployments, and benchmark data cited in the table when applicable.

PostgreSQL vs MySQL — Hard Specs

Vendor-documented numbers and published benchmarks. Sources cited inline.

Metric	PostgreSQL	MySQL	Source
Current stable major version	17 (Sep 2024)	8.4 LTS (Apr 2024)	postgresql.org / dev.mysql.com release notes
Default max connections	100	151	PostgreSQL & MySQL default config files
Max row size	1.6 TB (per row, toast-compressed)	65,535 bytes (InnoDB hard limit)	PostgreSQL docs ch. 68 / MySQL ref. 11.7
Max table size	32 TB	64 TB (InnoDB tablespace)	PostgreSQL FAQ / MySQL 8.0 ref.
Index types supported	B-tree, Hash, GiST, SP-GiST, GIN, BRIN, Bloom	B-tree, Hash, R-tree (spatial), full-text	PostgreSQL docs ch. 11 / MySQL 8.0 ref. 8.3.9
Concurrency model	MVCC (no read locks)	MVCC on InnoDB; row-level locks	PostgreSQL docs ch. 13 / InnoDB locking ref.
Native JSON indexing	JSONB + GIN index (sub-ms lookup on 10M rows)	JSON + generated column + B-tree (no native GIN)	PostgreSQL JSONB docs / MySQL 8.0 ref. 13.5
Published write throughput (TPC-C style, c5.4xlarge)	~24K tpmC tuned	~38K tpmC tuned	Percona / EnterpriseDB benchmark whitepapers; version-specific
Built-in partitioning	Declarative (range, list, hash)	Range, list, hash, key, composite	PostgreSQL docs ch. 5.12 / MySQL 8.0 ref. 26
Built-in replication	Streaming + logical (pub/sub)	Async + semi-sync + group replication	PostgreSQL docs ch. 28 / MySQL 8.0 ref. 19

When to Choose Each

Choose PostgreSQL When

You need advanced features (JSONB, full-text search, window functions)
You are building complex queries with CTEs and recursive queries
You need strict data integrity and ACID compliance
You want PostGIS for geographic data

Choose MySQL When

You need maximum read performance for simple queries
You are running WordPress, Magento, or PHP-based applications
You want simpler administration and setup
You need master-slave replication for read scaling

Use Case Recommendations

SaaS Platform

→ PostgreSQL

PostgreSQL's JSONB, row-level security, and advanced features are ideal for multi-tenant SaaS.

WordPress or PHP App

→ MySQL

MySQL is the default database for WordPress and most PHP frameworks.

Analytics Dashboard

→ PostgreSQL

PostgreSQL's window functions, CTEs, and materialized views are purpose-built for analytical queries.

Simple Read-Heavy API

→ MySQL

MySQL's read performance and simpler setup make it efficient for straightforward API backends.

Similarities

Both are open-source relational databases
Both support ACID transactions
Both have been production-ready for 25+ years
Both support replication and high availability
Both work with every programming language and ORM

Key Differences

PostgreSQL has JSONB; MySQL has basic JSON
PostgreSQL has more advanced query features (CTEs, window functions)
MySQL is faster for simple reads; PostgreSQL is better for complex queries
PostgreSQL is more SQL-standard-compliant
MySQL has a larger installed base (WordPress, PHP ecosystem)

Pro Tip

The best technology choice depends on your specific context: team skills, project timeline, scaling requirements, and budget. We have built production systems with both PostgreSQL and MySQL — talk to us before committing to a stack.

We do not believe in one-size-fits-all technology recommendations. Every project we take on starts with understanding the client's constraints and goals, then recommending the technology that minimizes risk and maximizes delivery speed.

— ZTABS Engineering Team, Technology Advisory

How Much Does It Cost to Migrate Between PostgreSQL and MySQL?

Based on 500+ migration projects ZTABS has delivered. Ranges include engineering time, QA, and a typical 15% contingency.

Project Size	Typical Cost & Timeline
Small (MVP / single service)	$4K–$12K, 1–3 weeks. Schema dump + pgloader/mysqldump scripts; app-layer ORM swap. Risk: low.
Medium (multi-feature product)	$20K–$70K, 6–14 weeks. Stored procedures, triggers, and data-type drift (ENUM, TINYINT, auto-increment vs SERIAL) each eat ~30% of the budget. Zero-downtime cutover adds ~$8K.
Large (enterprise / multi-tenant)	$90K–$300K+, 4–9 months. Multi-tenant schemas, partitioning strategies, and audit-log replay dominate. Expect parallel dual-write period of 30–60 days before cutover.

Common Gotchas We See

MySQL's ENUM type has no direct PostgreSQL equivalent — requires CHECK constraint or custom type. Silent data loss if not caught in QA.
MySQL is case-insensitive on identifiers by default; PostgreSQL is case-sensitive. Every JOIN and WHERE needs audit.
MySQL TINYINT(1) is commonly used as boolean; PostgreSQL BOOLEAN is stricter. ORM mapping often breaks silently.
PostgreSQL requires explicit COMMIT on DDL in some transaction modes; MySQL auto-commits DDL. Migration scripts need re-ordering.
Full-text search syntax is incompatible — MATCH/AGAINST (MySQL) vs to_tsvector/@@ (PostgreSQL). Budget 1 sprint per FTS feature.

When PostgreSQL pays off vs MySQL — break-even math

Under ~100 GB and typical CRUD, both are interchangeable performance-wise. Past that, Postgres pulls ahead on analytical workloads (GROUP BY + window functions) by 30-60%; MySQL retains an edge on simple primary-key read loads at 100K+ QPS.

Real-world gotchas migrating between PostgreSQL and MySQL

Specific production failures we have seen during cross-stack migrations.

MySQL default charset traps (utf8 ≠ utf8mb4)

MySQL's utf8 is only 3-byte UTF-8 and silently mangles emoji and 4-byte CJK characters. Always verify utf8mb4 before migrating, or your user data ships broken.

Postgres VACUUM tuning surprises MySQL teams

Postgres' MVCC needs autovacuum tuned for high-write tables; skipping it produces bloat and slow queries. MySQL has different maintenance semantics — retrain your DBA before cutover.

Beyond PostgreSQL and MySQL: other options to consider

Third-way tools and approaches teams evaluate when neither side of the main comparison fits.

Alternative	Best For	Pricing	Biggest Gotcha
SQLite	Embedded apps, CLI tools, and single-node SaaS with <100 GB data.	Free OSS; $0 hosting when embedded.	Single-writer at a time; not suited to high-concurrency writes or multi-node.
MongoDB	Document-shaped data where schema flexibility matters more than joins.	Atlas free tier; M10 from ~$57/mo.	Transactions and joins exist but are slower than Postgres for relational data.
CockroachDB	Global multi-region apps needing strong consistency and horizontal scale.	Serverless free tier; Dedicated from ~$295/mo.	Postgres-wire-compatible but some extensions missing; pricey at scale.
DynamoDB	AWS-native apps with predictable key-based access at any scale.	On-demand ~$1.25/M writes, $0.25/M reads.	No joins, no ad-hoc queries — schema design must match access patterns upfront.

When neither PostgreSQL nor MySQL is the right pick

Sometimes the honest answer is that this is the wrong comparison.

Multi-GB embedded DB needs

SQLite is the right answer for single-user embedded data or edge functions. Postgres and MySQL both assume a running server.

Graph-first workloads

If your data is fundamentally a graph (fraud, social, supply-chain), Neo4j or a graph extension beats relational queries over joins.

Frequently Asked Questions

Is PostgreSQL better than MySQL?: It depends on your project requirements. PostgreSQL is more feature-rich and better for complex queries. MySQL is simpler and faster for read-heavy workloads. Both are battle-tested, production-grade databases. Both are production-ready technologies that we use regularly at ZTABS.
Can I migrate from PostgreSQL to MySQL?: Yes, migration is possible but requires careful planning. We have helped clients migrate between postgresql and mysql — typical timelines range from 4-16 weeks depending on codebase size and complexity. Contact us for a free migration assessment.
Which is easier to learn, PostgreSQL or MySQL?: Both have good documentation and community support. PostgreSQL and MySQL each have a learning curve, but developers with relational databases experience can become productive within 2-4 weeks with either.
What does ZTABS recommend for new projects?: Our recommendation depends on your specific needs: team expertise, project timeline, scalability requirements, and budget. We have delivered 500+ projects with both technologies. Book a free consultation and we will recommend the best fit for your use case.
How much does postgresql vs mysql development cost?: Development costs are comparable for most projects. The biggest cost factor is team expertise, not the technology itself. A typical MVP costs $15K-$60K regardless of whether you choose PostgreSQL or MySQL. Enterprise projects range from $50K-$250K+.

Explore Each Technology

PostgreSQL Development

Learn about our PostgreSQL services and expertise.

MySQL Development

Learn about our MySQL services and expertise.

Related Comparisons

PostgreSQL vs MongoDB

Databases

MySQL vs SQLite

Databases

Need Help Choosing Between PostgreSQL and MySQL?

Our senior architects have shipped 500+ projects with both technologies. Get a free consultation — we will recommend the best fit for your specific project.

Get a Free Consultation View Our Portfolio

Relational Databases

PostgreSQL vs MySQL

Honest, experience-based relational databases comparison from engineers who have shipped production systems with both.

Get a Free Consultation See Full Comparison

Verdict

PostgreSQL Wins

Ties

MySQL Wins

Fast Answer

PostgreSQL vs MySQL: Postgres wins for complex queries, JSONB, GIS, window functions, and strict SQL compliance. MySQL wins for read-heavy web workloads (WordPress, LAMP) and AWS Aurora tuning.

Head-to-Head Comparison

Criteria	PostgreSQL	MySQL	Winner
Feature Set	10/10	7/10	PostgreSQL
Why PostgreSQL supports JSONB, full-text search, CTEs, window functions, custom types, materialized views, and extensions. MySQL's feature set is more limited but covers most use cases.
Read Performance	8/10	9/10	MySQL
Why MySQL is slightly faster for simple read-heavy workloads (SELECT queries). PostgreSQL catches up on complex queries and write-heavy workloads.
Standards Compliance	10/10	7/10	PostgreSQL
Why PostgreSQL is the most SQL-standard-compliant database. MySQL takes liberties with SQL standards that can cause subtle bugs when migrating.
JSON Support	10/10	6/10	PostgreSQL
Why PostgreSQL's JSONB type with GIN indexes makes it a viable document-relational hybrid. MySQL's JSON support exists but lacks the indexing and query capabilities.
Ecosystem	8/10	10/10	MySQL
Why MySQL has the largest installed base and is the default for WordPress, Drupal, and most PHP applications. More hosting providers offer MySQL out of the box.
Scalability	9/10	8/10	PostgreSQL
Why PostgreSQL handles complex workloads at scale better with its query planner, parallel query execution, and partitioning. MySQL scales well for simpler read patterns.

How these scores are calculated

PostgreSQL vs MySQL — Hard Specs

Vendor-documented numbers and published benchmarks. Sources cited inline.

Metric	PostgreSQL	MySQL	Source
Current stable major version	17 (Sep 2024)	8.4 LTS (Apr 2024)	postgresql.org / dev.mysql.com release notes
Default max connections	100	151	PostgreSQL & MySQL default config files
Max row size	1.6 TB (per row, toast-compressed)	65,535 bytes (InnoDB hard limit)	PostgreSQL docs ch. 68 / MySQL ref. 11.7
Max table size	32 TB	64 TB (InnoDB tablespace)	PostgreSQL FAQ / MySQL 8.0 ref.
Index types supported	B-tree, Hash, GiST, SP-GiST, GIN, BRIN, Bloom	B-tree, Hash, R-tree (spatial), full-text	PostgreSQL docs ch. 11 / MySQL 8.0 ref. 8.3.9
Concurrency model	MVCC (no read locks)	MVCC on InnoDB; row-level locks	PostgreSQL docs ch. 13 / InnoDB locking ref.
Native JSON indexing	JSONB + GIN index (sub-ms lookup on 10M rows)	JSON + generated column + B-tree (no native GIN)	PostgreSQL JSONB docs / MySQL 8.0 ref. 13.5
Published write throughput (TPC-C style, c5.4xlarge)	~24K tpmC tuned	~38K tpmC tuned	Percona / EnterpriseDB benchmark whitepapers; version-specific
Built-in partitioning	Declarative (range, list, hash)	Range, list, hash, key, composite	PostgreSQL docs ch. 5.12 / MySQL 8.0 ref. 26
Built-in replication	Streaming + logical (pub/sub)	Async + semi-sync + group replication	PostgreSQL docs ch. 28 / MySQL 8.0 ref. 19

When to Choose Each

Choose PostgreSQL When

You need advanced features (JSONB, full-text search, window functions)
You are building complex queries with CTEs and recursive queries
You need strict data integrity and ACID compliance
You want PostGIS for geographic data

Choose MySQL When

You need maximum read performance for simple queries
You are running WordPress, Magento, or PHP-based applications
You want simpler administration and setup
You need master-slave replication for read scaling

Use Case Recommendations

SaaS Platform

→ PostgreSQL

PostgreSQL's JSONB, row-level security, and advanced features are ideal for multi-tenant SaaS.

WordPress or PHP App

→ MySQL

MySQL is the default database for WordPress and most PHP frameworks.

Analytics Dashboard

→ PostgreSQL

PostgreSQL's window functions, CTEs, and materialized views are purpose-built for analytical queries.

Simple Read-Heavy API

→ MySQL

MySQL's read performance and simpler setup make it efficient for straightforward API backends.

Similarities

Both are open-source relational databases
Both support ACID transactions
Both have been production-ready for 25+ years
Both support replication and high availability
Both work with every programming language and ORM

Key Differences

PostgreSQL has JSONB; MySQL has basic JSON
PostgreSQL has more advanced query features (CTEs, window functions)
MySQL is faster for simple reads; PostgreSQL is better for complex queries
PostgreSQL is more SQL-standard-compliant
MySQL has a larger installed base (WordPress, PHP ecosystem)

Pro Tip

— ZTABS Engineering Team, Technology Advisory

How Much Does It Cost to Migrate Between PostgreSQL and MySQL?

Based on 500+ migration projects ZTABS has delivered. Ranges include engineering time, QA, and a typical 15% contingency.

Project Size	Typical Cost & Timeline
Small (MVP / single service)	$4K–$12K, 1–3 weeks. Schema dump + pgloader/mysqldump scripts; app-layer ORM swap. Risk: low.
Medium (multi-feature product)	$20K–$70K, 6–14 weeks. Stored procedures, triggers, and data-type drift (ENUM, TINYINT, auto-increment vs SERIAL) each eat ~30% of the budget. Zero-downtime cutover adds ~$8K.
Large (enterprise / multi-tenant)	$90K–$300K+, 4–9 months. Multi-tenant schemas, partitioning strategies, and audit-log replay dominate. Expect parallel dual-write period of 30–60 days before cutover.

Common Gotchas We See

MySQL's ENUM type has no direct PostgreSQL equivalent — requires CHECK constraint or custom type. Silent data loss if not caught in QA.
MySQL is case-insensitive on identifiers by default; PostgreSQL is case-sensitive. Every JOIN and WHERE needs audit.
MySQL TINYINT(1) is commonly used as boolean; PostgreSQL BOOLEAN is stricter. ORM mapping often breaks silently.
PostgreSQL requires explicit COMMIT on DDL in some transaction modes; MySQL auto-commits DDL. Migration scripts need re-ordering.
Full-text search syntax is incompatible — MATCH/AGAINST (MySQL) vs to_tsvector/@@ (PostgreSQL). Budget 1 sprint per FTS feature.

When PostgreSQL pays off vs MySQL — break-even math

Real-world gotchas migrating between PostgreSQL and MySQL

Specific production failures we have seen during cross-stack migrations.

MySQL default charset traps (utf8 ≠ utf8mb4)

MySQL's utf8 is only 3-byte UTF-8 and silently mangles emoji and 4-byte CJK characters. Always verify utf8mb4 before migrating, or your user data ships broken.

Postgres VACUUM tuning surprises MySQL teams

Postgres' MVCC needs autovacuum tuned for high-write tables; skipping it produces bloat and slow queries. MySQL has different maintenance semantics — retrain your DBA before cutover.

Beyond PostgreSQL and MySQL: other options to consider

Third-way tools and approaches teams evaluate when neither side of the main comparison fits.

Alternative	Best For	Pricing	Biggest Gotcha
SQLite	Embedded apps, CLI tools, and single-node SaaS with <100 GB data.	Free OSS; $0 hosting when embedded.	Single-writer at a time; not suited to high-concurrency writes or multi-node.
MongoDB	Document-shaped data where schema flexibility matters more than joins.	Atlas free tier; M10 from ~$57/mo.	Transactions and joins exist but are slower than Postgres for relational data.
CockroachDB	Global multi-region apps needing strong consistency and horizontal scale.	Serverless free tier; Dedicated from ~$295/mo.	Postgres-wire-compatible but some extensions missing; pricey at scale.
DynamoDB	AWS-native apps with predictable key-based access at any scale.	On-demand ~$1.25/M writes, $0.25/M reads.	No joins, no ad-hoc queries — schema design must match access patterns upfront.

When neither PostgreSQL nor MySQL is the right pick

Sometimes the honest answer is that this is the wrong comparison.

Multi-GB embedded DB needs

SQLite is the right answer for single-user embedded data or edge functions. Postgres and MySQL both assume a running server.

Graph-first workloads

If your data is fundamentally a graph (fraud, social, supply-chain), Neo4j or a graph extension beats relational queries over joins.

Frequently Asked Questions

Is PostgreSQL better than MySQL?: It depends on your project requirements. PostgreSQL is more feature-rich and better for complex queries. MySQL is simpler and faster for read-heavy workloads. Both are battle-tested, production-grade databases. Both are production-ready technologies that we use regularly at ZTABS.
Can I migrate from PostgreSQL to MySQL?: Yes, migration is possible but requires careful planning. We have helped clients migrate between postgresql and mysql — typical timelines range from 4-16 weeks depending on codebase size and complexity. Contact us for a free migration assessment.
Which is easier to learn, PostgreSQL or MySQL?: Both have good documentation and community support. PostgreSQL and MySQL each have a learning curve, but developers with relational databases experience can become productive within 2-4 weeks with either.
What does ZTABS recommend for new projects?: Our recommendation depends on your specific needs: team expertise, project timeline, scalability requirements, and budget. We have delivered 500+ projects with both technologies. Book a free consultation and we will recommend the best fit for your use case.
How much does postgresql vs mysql development cost?: Development costs are comparable for most projects. The biggest cost factor is team expertise, not the technology itself. A typical MVP costs $15K-$60K regardless of whether you choose PostgreSQL or MySQL. Enterprise projects range from $50K-$250K+.

Explore Each Technology

PostgreSQL Development

Learn about our PostgreSQL services and expertise.

MySQL Development

Learn about our MySQL services and expertise.

Related Comparisons

PostgreSQL vs MongoDB

Databases

MySQL vs SQLite

Databases

Need Help Choosing Between PostgreSQL and MySQL?

Our senior architects have shipped 500+ projects with both technologies. Get a free consultation — we will recommend the best fit for your specific project.

Get a Free Consultation View Our Portfolio