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Ξ Project:M36 Relational Algebra Engine

Haskell Programming Language Public Domain Hackage Hackage dependency status Windows Build status Github Workflow status

Software can always be made faster, but rarely can it be made more correct.


Project:M36 implements a relational algebra engine as inspired by the writings of Chris Date.

Quick Install

Project:M36 can be downloaded and run via docker, which supports Windows 10, macOS, and Linux.

Run docker run -it projectm36/project-m36 tutd to start the TutorialD command line interface.


Unlike most database management systems (DBMS), Project:M36 is opinionated software which adheres strictly to the mathematics of the relational algebra. The purpose of this adherence is to prove that software which implements mathematically-sound design principles reaps benefits in the form of code clarity, consistency, performance, and future-proofing.

Project:M36 can be used as an in-process or remote DBMS.

Project:M36 is written entirely in the Haskell programming language.

Sample Session



Project:M36 supports multiple frontends which target different audiences.

  • learn about the relational algebra via TutorialD
  • store and manipulate databases
  • use Project:M36 as a native Haskell database backend



Introductory Materials

  1. Installation and Introduction to Project:M36
  2. Introduction to the Relational Algebra
  3. TutorialD Cheatsheet
  4. TutorialD via Jupyter Notebook Walkthrough
  5. TutorialD Tutorial
  6. 15 Minute Tutorial
  7. Developer's Change Log
  8. Simple Client API
  9. CSV Import/Export
  10. Developer Setup

Database Comparisons

  1. ACID Database Properties
  2. On NULL (in SQL)
  3. Reaching "Out of the Tarpit" with Project:M36
  4. An Architecture for Data Independence

Advanced Features

  1. Transaction Graph Operators
  2. ProjectM36.Client Library
  3. Data Frames for Sorting
  4. Adding New Data Types
  5. Database-Manipulating Functions
  6. Serving Remote ProjectM36 Databases
  7. Using Notifications
  8. Merge Transactions
  9. Atom (Value) Functions
  10. Trans-Graph Relational Expressions
  11. Isomorphic Schemas
  12. Replication
  13. Basic Operator Benchmarks
  14. Merkle Transaction Hashes
  15. Handling DDL Changes


  1. WebSocket Server
  2. Jupyter Notebook Kernel
  3. Persistent Driver


Project:M36 is developed in Haskell and compiled with GHC 8.8 or later.

Related Projects

  • The Third Manifesto: the philosophical basis for relational algebra engines
  • Rel: a TutorialD implementation against a BerkeleyDB backend
  • Andl: a new database language with SQLite and PostgreSQL backends
  • Coddie: a python-based relational algebra interpreter

Suggested Reading