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Small README tweaks.

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Richard Newman 2018-03-13 04:01:19 +00:00 committed by GitHub
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@ -32,13 +32,13 @@ We've observed that data storage is a particular area of difficulty for software
```edn
{:db/id :person/email
:db/valueType :db.type/string
:db/cardinality :db.cardinality/many ; People can have multiple email addresses.
:db/unique :db.unique/identity ; For our purposes, each email identifies one person.
:db/index true} ; We want fast lookups by email.
:db/valueType :db.type/string
:db/cardinality :db.cardinality/many ; People can have multiple email addresses.
:db/unique :db.unique/identity ; For our purposes, each email identifies one person.
:db/index true} ; We want fast lookups by email.
{:db/id :person/friend
:db/valueType :db.type/ref
:db/cardinality :db.cardinality/many} ; People can have many friends.
:db/valueType :db.type/ref
:db/cardinality :db.cardinality/many} ; People can have many friends.
```
```sql
CREATE TABLE people (
@ -81,7 +81,7 @@ Another possible question would be: "What if we could bake some of the concepts
Some thought has been given to how databases as values — long-term references to a snapshot of the store at an instant in time — could work in this model. It's not impossible; it simply has different performance characteristics.
Just like DataScript, Mentat speaks Datalog for querying and takes additions and retractions as input to a transaction. Unlike DataScript, Mentat's API is asynchronous.
Just like DataScript, Mentat speaks Datalog for querying and takes additions and retractions as input to a transaction.
Unlike DataScript, Mentat exposes free-text indexing, thanks to SQLite.
@ -92,14 +92,14 @@ Datomic is a server-side, enterprise-grade data storage system. Datomic has a be
Many of these design decisions are inapplicable to deployed desktop software; indeed, the use of multiple JVM processes makes Datomic's use in a small desktop app, or a mobile device, prohibitive.
Mentat is designed for embedding, initially in an Electron app ([Tofino](https://github.com/mozilla/tofino)). It is less concerned with exposing consistent database states outside transaction boundaries, because that's less important here, and dropping some of these requirements allows us to leverage SQLite itself.
Mentat was designed for embedding, initially in an experimental Electron app ([Tofino](https://github.com/mozilla/tofino)). It is less concerned with exposing consistent database states outside transaction boundaries, because that's less important here, and dropping some of these requirements allows us to leverage SQLite itself.
## Comparison to SQLite
SQLite is a traditional SQL database in most respects: schemas conflate semantic, structural, and datatype concerns, as described above; the main interface with the database is human-first textual queries; sparse and graph-structured data are 'unnatural', if not always inefficient; experimenting with and evolving data models are error-prone and complicated activities; and so on.
Mentat aims to offer many of the advantages of SQLite — single-file use, embeddability, and good performance — while building a more relaxed and expressive data model on top.
Mentat aims to offer many of the advantages of SQLite — single-file use, embeddability, and good performance — while building a more relaxed, reusable, and expressive data model on top.
## Contributing