To OT or CRDT, That Is the Question
Metadata
Highlights
- When it comes to more advanced structures such as rich text editing, the crux of the problem with CRDTs is user intent. Working at such a low level provides an easier guarantee of eventual consistency, but you lose sight of the big picture. For example in OT we can define a “split text node” operation which can be complicated to transform but is very well understood to have certain properties in a rich text editor. Whereas in CRDT, the changes are more data-focussed and it becomes very clinical. A good example is splitting a text node. Think about what that might take at the data level: (View Highlight)
title: “To OT or CRDT, that is the question”
author: “Andrew Herron”
url: ”https://www.tiny.cloud/blog/real-time-collaboration-ot-vs-crdt/”
date: 2023-07-29
source: reader
tags: media/articles
To OT or CRDT, that is the question
Metadata
Highlights
- When it comes to more advanced structures such as rich text editing, the crux of the problem with CRDTs is user intent. Working at such a low level provides an easier guarantee of eventual consistency, but you lose sight of the big picture. For example in OT we can define a “split text node” operation which can be complicated to transform but is very well understood to have certain properties in a rich text editor. Whereas in CRDT, the changes are more data-focussed and it becomes very clinical. A good example is splitting a text node. Think about what that might take at the data level: (View Highlight)
title: “To OT or CRDT, That Is the Question”
author: “Andrew Herron”
url: ”https://www.tiny.cloud/blog/real-time-collaboration-ot-vs-crdt/”
date: 2023-12-19
source: reader
tags: media/articles
To OT or CRDT, That Is the Question
Metadata
Highlights
- When it comes to more advanced structures such as rich text editing, the crux of the problem with CRDTs is user intent. Working at such a low level provides an easier guarantee of eventual consistency, but you lose sight of the big picture. For example in OT we can define a “split text node” operation which can be complicated to transform but is very well understood to have certain properties in a rich text editor. Whereas in CRDT, the changes are more data-focussed and it becomes very clinical. A good example is splitting a text node. Think about what that might take at the data level: (View Highlight)