Couchbase VS MongoDB

On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra.

Couchbase (Community Edition/Open Source but unofficial RN support)

In my previous article I wrote about how we implemented vectors-based semantic search in SQLite. Afterwards I asked myself what the best use case for this could be. My conclusion was to use the smallest database on the planet (SQLite) to automatically generate code for the largest database on the planet (CouchBase) 😁

With partial record updates, the problem simply vanishes more or less. To understand why, read the above article for details. Some NoSQL database systems do support partial record updates, such as CouchBase if I remember correctly, but most struggles with these kind of constructs.

Couchbase

Does this help? Also there is a sizing guide on https://www.couchbase.com

Learn how Gabriel Terwesten ended up creating their own version of a Couchbase package for Dart, and how to use it in your own project. It gives you offline first and full-text search , in a lite package.

Couchbase was originally developed by merging Membase, a fork of Memcache with on-disk durability, with CouchDB, a somewhat experimental document database written in Erlang. As such, it has a relatively tortured development history. It has adopted a relatively tortured transaction model as well.

You can reach us at https://www.couchbase.com or email [email protected] and a technical representative will be happy to discuss options!

The MongoDB JavaScript driver uses and requires node.js, which is what 99.9% of server-side JavaScript implementations use.

Mongo Drivers

If you look at how major backend projects structure their code, it's almost always object-oriented TypeScript.

I submit for the record:

- Apollo Client: https://github.com/apollographql/apollo-client/blob/main/src...

- Storybook: https://github.com/storybookjs/storybook/blob/next/lib/chann...

- Nest: https://github.com/nestjs/nest/blob/master/packages/core/nes...

- MongoDB Driver: https://github.com/mongodb/node-mongodb-native/blob/main/src...

- Prisma: https://github.com/prisma/prisma/blob/main/packages/engine-c...

The MongoDB Node.js Driver, to save data to MongoDB;

The error probably is a MongoServerError, not MongoError, see https://github.com/mongodb/node-mongodb-native/blob/HEAD/etc/notes/errors.md

The most basic way to interact with MongoDB is using the Official MongoDB Node.js Driver, in this guide we will use Mongoose an object modeling tool.

Now when you use the collection, you'll get better type support for for all the collection methods. Note that I had to make the _id required on the schema. If you make it optional, you still get a type error. The node driver team is working on this and other issues related to the type of _id in this PR: https://github.com/mongodb/node-mongodb-native/pull/3077

To communicate with MongoDB database we will need Node driver mongodb. So install it.

Could this _ensureIndex be the problem? I think that may be calling into listIndexes here: https://github.com/mongodb/node-mongodb-native/blob/2b18411d2f57e06d11262d5a308c56a9f561789e/lib/operations/db_ops.js#L305. IIRC, ensureIndex is deprecated, and you should use createIndex instead. I'm not familiar with meteor, so I'm not exactly sure what that code looks like, but the README shows how to access the underlying MongoDB driver directly: https://github.com/meteor/meteor/tree/devel/packages/mongo#direct-access-to-npm-mongodb-api. Hope that helps!