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Head-to-head · Database Query Builders

SQLAlchemy vs JetBrains Exposed

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score SQLAlchemy #2 in Database Query Builders 9.1/10 Free plan Free plan✓ 3 of 3 features Visit SQLAlchemy
JetBrains Exposed #3 in Database Query Builders 9.0/10 Free plan Free plan✓ 3 of 3 features Visit JetBrains

SQLAlchemy leads on 0 checks, JetBrains Exposed on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreSQLAlchemy · 9.1/10
  • Free planboth

SQLAlchemy scores higher on our rubric for database query builders: 9.1 against 9.0 out of 10; our editors rank them #2 and #3.

On type safety, JetBrains Exposed gives you Static where SQLAlchemy offers Optional.

SQLAlchemy is the better fit for python teams needing SQL construction plus ORM tools. JetBrains Exposed is the better fit for kotlin teams wanting a type-safe SQL DSL.

  • SQLAlchemy fits best

    Python teams needing SQL construction plus ORM tools

  • JetBrains Exposed fits best

    Kotlin teams wanting a type-safe SQL DSL

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. How we rank.

Side by side

Feature SQLAlchemy 9.1/10 Visit ↗ JetBrains Exposed 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #2 in Database Query Builders #3 in Database Query Builders
Best for Python teams needing SQL construction plus ORM tools Kotlin teams wanting a type-safe SQL DSL
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features SQLAlchemy 3/3 · JetBrains Exposed 3/3
Async queries ✓ ✓
Raw SQL support ✓ ✓
Compile without execution ✓ ✓
Specs
Languages Python Kotlin
SQL dialects PostgreSQL, MySQL, MariaDB, SQLite, Oracle, Microsoft SQL Server H2, MariaDB, MySQL, Oracle, PostgreSQL, Amazon Redshift, Microsoft SQL Server, SQLite
Type safety Optional Static
Our review
Pros
  • Build queries with function- and expression-based SQL construction.
  • Map Python classes to tables with ORM querying and persistence.
  • Use six built-in dialects, with synchronous and asynchronous drivers.
  • Build SQL with a statically type-safe Kotlin DSL or Data Access Object API
  • Supports blocking JDBC and non-blocking R2DBC database access
  • Works with eight listed SQL dialects and integrates with Spring Boot and Ktor
Cons
  • Designed for Python rather than multiple programming languages.
  • Self-hosted deployment means teams manage their own runtime environment.
  • External dialects require projects beyond the six built-in dialects.
  • Designed for Kotlin, so it is not a fit for teams using other languages
  • The library focuses on relational database access rather than broader data workflows
  • Support channels are community and documentation
Our verdict

SQLAlchemy is a Python SQL toolkit and object-relational mapper for developers building database-backed applications. Its Core offers function- and expression-based query construction alongside connections, schemas, and transactions; its…

Read the review →

JetBrains Exposed is an open-source SQL library for Kotlin applications that work with relational databases. Its type-safe DSL lets developers build queries in Kotlin, while its Data Access Object API offers ORM-style access. It is suited…

Read the review →
  1. SQLAlchemyDatabase Query Builders 9.1Free plan
  2. JetBrains ExposedDatabase Query Builders 9.0Free plan

Strengths and trade-offs

  • SQLAlchemy — where it wins

    • Build queries with function- and expression-based SQL construction.
    • Map Python classes to tables with ORM querying and persistence.
    • Use six built-in dialects, with synchronous and asynchronous drivers.

    Where it doesn't

    • Designed for Python rather than multiple programming languages.
    • Self-hosted deployment means teams manage their own runtime environment.
    • External dialects require projects beyond the six built-in dialects.

  • JetBrains Exposed — where it wins

    • Build SQL with a statically type-safe Kotlin DSL or Data Access Object API
    • Supports blocking JDBC and non-blocking R2DBC database access
    • Works with eight listed SQL dialects and integrates with Spring Boot and Ktor

    Where it doesn't

    • Designed for Kotlin, so it is not a fit for teams using other languages
    • The library focuses on relational database access rather than broader data workflows
    • Support channels are community and documentation

More comparisons

All database query builders comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update