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Head-to-head · Database Query Builders

SQLAlchemy vs Doma

  • 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
Doma #7 in Database Query Builders 7.9/10 Free plan Free plan✓ 2 of 3 features Visit Doma

SQLAlchemy leads on 1 check, Doma on 0, and 3 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
  • Most featuresSQLAlchemy · 3 of 3

SQLAlchemy scores higher on our rubric for database query builders: 9.1 against 7.9 out of 10; our editors rank them #2 and #7.

On type safety, Doma gives you Static where SQLAlchemy offers Optional. SQLAlchemy offers async queries; Doma doesn't.

SQLAlchemy is the better fit for python teams needing SQL construction plus ORM tools. Doma is the better fit for java or Kotlin teams wanting generated, type-safe queries.

  • SQLAlchemy fits best

    Python teams needing SQL construction plus ORM tools

  • Doma fits best

    Java or Kotlin teams wanting generated, type-safe queries

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 ↗ Doma 7.9/10 Visit ↗
At a glance
Editor score 9.1 7.9
Ranking #2 in Database Query Builders #7 in Database Query Builders
Best for Python teams needing SQL construction plus ORM tools Java or Kotlin teams wanting generated, type-safe queries
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 · Doma 2/3
Async queries ✓ (best) —
Raw SQL support ✓ ✓
Compile without execution ✓ ✓
Specs
Languages Python Java, Kotlin
SQL dialects PostgreSQL, MySQL, MariaDB, SQLite, Oracle, Microsoft SQL Server DB2, H2, HSQLDB, Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, 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.
  • Compile-time checks and generated metamodels catch query issues during compilation.
  • Criteria and SQL builder APIs cover search, insert, update, and delete.
  • Eight SQL dialects plus Spring Boot and Quarkus integrations.
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.
  • Self-hosted library, not a managed database service.
  • Asynchronous queries are not supported.
  • Kotlin projects use the separate doma-kotlin library.
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 →

Doma is an open-source database access framework for Java and Kotlin teams that want DAO-oriented mapping and query construction with static type safety. It provides a Unified Criteria API and SQL builders for search, insert, update, and…

Read the review →
  1. SQLAlchemyDatabase Query Builders 9.1Free plan
  2. DomaDatabase Query Builders 7.9Free 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.
  • Doma — where it wins

    • Compile-time checks and generated metamodels catch query issues during compilation.
    • Criteria and SQL builder APIs cover search, insert, update, and delete.
    • Eight SQL dialects plus Spring Boot and Quarkus integrations.

    Where it doesn't

    • Self-hosted library, not a managed database service.
    • Asynchronous queries are not supported.
    • Kotlin projects use the separate doma-kotlin library.

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update