RethinkDB VS ArangoDB

No I don't think that's relevant. They implement their own btree it seems [0].

They don't use a key-value store library.

I know it's a bit of a fine line. But I'm talking about standalone libraries people embed across different applications/databases. That's what RocksDB/LevelDB/Pebble are.

[0] https://github.com/rethinkdb/rethinkdb/tree/v2.4.x/src/btree

I just stumbled on a website this morning about this. It was https://rethinkdb.com/ . I have never used it but it seems pretty good.

RethinkDB

https://rethinkdb.com/ might be a possibility, it would still require a separate docker (or bundling with the audioserve docker) but looks less complicated than Supabase.

First off, what are we actually going to provision? We will be provisioning a 3 server cluster of a database server, RethinkDB You probably didn't heard from it before, and you can forget about it after reading this.

My aformentioned RethinkDB might be what you may want to take a look at.

I've recently decided to import 6.8k entries of crypto currencies into a database - namely Rethink.

Continuing an open source project that used to be sponsored (paid developers) as a non-sponsored project is always very hard.

The code base, project structure, automated tests, etc. is all sized for a certain number of developers. When 90% of them are gone it'll be hard to keep up.

Feels somewhat similar to the faith of RethinkDB, which was an awesome database in many regards, but it was difficult to keep the steam up after the sponsoring company shut down.

https://github.com/rethinkdb/rethinkdb/graphs/contributors

One thing that may work, is if Servo tries to carve out a very narrow niche, much smaller than just "general browser", where they are unique and useful.

Take embedding as an example. If Servo because a great choice for embedding (similar to WebViews or Electron), where there is usually a single set of CSS and JS that it's expected to run (basically a bundled app), the downsides of servo not supporting all Web APIs, or not handling all edge cases, is reduced. Basically, if it runs your code, that's enough.

So it'll probably be "useful" (regardless of where you put the bar for useful) earlier in an embedding context, compared to it being useful as a general browser.

Should it catch on as a tool for embedding, that would drive more usage and more contributions, which would be a beneficial circle.

But this niche could also be something entirely different, of course, I'm not sure embedding is the one.

Its rethinkDB github repository reads last update to some 27 days ago.

RethinkDB open source project. showcase it working live project with announcement blog Announcing RethinkDB 2.4.1 dated August 13 2020

... or working in an environment or on a problem for which functional patterns apply.

Suppose you are writing a "CRUD" app that writes to a relational database, how do you apply functional programming to that? The whole point of an application like that is that it makes side effects.

In some cases you can break those problems down into functional pieces. Consider Python drivers for a product like

https://www.arangodb.com/

One major problem is that you want drivers that work synchronously and asynchronously, the structure of the average api call is something like

   def query(parameters):

First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language.

Some databases like ArangoDB (https://www.arangodb.com/) allow you to use Javascript instead of SQL.

However, using a type-unsafe, turing-complete language introduces type unsafety and turing-complete problems to the query layer; the usual problems we know and love, such as infinite loops, runtime type errors, exceptions, and the like.

Personally, I'm looking forward to a WASM runtime for databases -- so we can run webassembly on the database. This COULD be carefully designed to be statically checked and, possibly, make it really hard to write runaway loops.

Personally my favorite db for pet projects is

https://www.arangodb.com/

I think you hear very little about it because ADB users see it as a "secret weapon" to crush their competitors with. I've done large ontology work (MESH and other health ontologies) and IoT work (keep several years of sensor readings for sensors in my house) and workflow systems (select interesting HN articles or jobs I want to apply to) and it has never let me down. I haven't run a real instance serving customers in the cloud though.

For the last few years every eng manager I have worked with has been a fan of

https://www.postgresql.org/

In the early 2000s I thought it overpromised and underdelivered and called it CrashGreSlow but after MySQL got bought by Oracle the pgsql team has worked hard to improve it I think it is great today. It supports all kinds of advanced features such as stored procs, full-text search, JSON equivalent fields, etc.

For mutual friends, we can build a social graph for every user. Each node in the graph will represent a user and a directional edge will represent followers and followees. After that, we can traverse the followers of a user to find and suggest a mutual friend. This would require a graph database such as Neo4j and ArangoDB.

ArangoDB

This a NOSQL database built for high availability and high scalability, a perfect fit for implementing persistence in microservices. ArangoDB is an open source native multi-model database that supports graph, document and key-value data models allowing users to freely combine all data models in a single query. Dive deeper into this database and its features here.

Finally, while it is not in the GCP stack, there is a pretty cool graph database https://www.arangodb.com/ . You can use their Oasis and deploy into GCP though. Still, if you were to model a lot of relations between all your trivia information, then a graph database like this could unlock some interesting possibilities.

As an AWS person, I became really interested in how I may take advantage of a an AppSync GraphQL API backed by a graph database. There are many great options to choose from, including things like Neo4j and ArangoDB which I hope to also try out sometime soon, but for this build I chose to use Amazon Neptune.

Will it perform better than ArangoDB, which outperforms Neo4j?