Sixth - system for data storage, computation, exploration and interaction
- This is a subproject of Sixth
- download latest snapshot
- This program is free software; you can redistribute it and/or modify it under the terms of version 3 of the GNU Lesser General Public License or later as published by the Free Software Foundation.
- Program author:
- Svjatoslav Agejenko
- Homepage: http://svjatoslav.eu
- Email: mailto://svjatoslav@svjatoslav.eu
- other applications hosted at svjatoslav.eu
1 Vision / goal
Provide versioned, clustered, flexible, distributed, multi-dimensional data storage engine for the Sixth computation engine.
- Speaking of traditional relational database and object oriented
business applications:
- I hate object-relational impedance mismatch.
- I don't like to convert data between persistent database and
runtime objects for every transaction. How about creating united
database/computation engine instead to:
- Eliminate constant moving and converting of data between 2 systems.
- Abstract away difference between RAM VS persistent storage. Let the system decide at runtime which data to keep in what kind of memory.
1.1 Inspiration
- Relational databases:
- Transactional.
- Indexable / Quickly searchable.
- Git (version control system)
- Versionable
- Branchable / mergeable.
- Transparent cansistency, checksumming and deduplication.
- (Git as a database: https://www.kenneth-truyers.net/2016/10/13/git-nosql-database/ )
- Brain (appears to have more than 3D dimensional design. Food for
thought…)
- https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
- From there comes following idea: Maybe every problem can be translated to geometry (use any shapes and as many dimensions as you need). Solution(s) to such problems would then appear as relatively simple search/comparison/lookup results. As a bonus, such geometrical *data storage* AND *computation* can be naturally made in *parallel* and *distributed*. That's what neurons in the brain appear to be doing ! :) . Learning means building/updating the model (the hard part). Question answering is making (relatively simple) lookups (geometrical queries) against the model.
- https://singularityhub.com/2017/06/21/is-there-a-multidimensional-mathematical-world-hidden-in-the-brains-computation/
2 Current status
- More or less defined Vision / goal.
- Implemented very simple persistent key-value map.
- Long term goal is to use it as a backing storage engine and implement more advanced features on top of this.
3 TODO
- check out GRAKN.AI: database in the form of a knowledge graph that uses machine reasoning to simplify data processing challenges for AI applications.
- check out Magma