discord-guy-bot VS faunadb-js

Now that my database is ready & waiting, it's time to write some code to utilize it. In my src directory, I created a new file called fauna.ts. My plan is to keep all the data logic here and utilize it wherever I need it throughout the application. I won't go through every line of code here because you can always check out the code for yourself. But I do want to point out the two methods that actually mean something:

Fauna is another serverless database created by ex-Twitter engineers. It's kind of like MongoDB, but with native JOIN operations, many document databases miss. They have their own language, FQL, and also a GraphQL API. Here's a quick overview of their free tier:

Fauna[0] which if I recall correctly, also upends Cap Theorum. They implemented Calvin[1] which differs from Spanner

[0]: https://fauna.com/

[1]: https://fauna.com/blog/distributed-consistency-at-scale-span...

NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and Cassandra.

To create a Faunadb account you need to head over to the Fauna website. Click on Start for free then select Github as your auth provider, and authorize Faunadb from GitHub. If everything went well, your account should successfully be created for you and you should be redirected to your Faunadb dashboard.

I am using Fauna

Fauna

If you are exploring Amazon DynamoDB alternatives that are NoSQL and have better-querying capabilities, there are a few to choose from, but the one I will be covering here is Fauna. Fauna combines the querying capabilities of relational databases (SQL databases) with the flexibility of NoSQL databases.

Fauna – A serverless database with built in global replication and strong consistency.

Some of the largest websites, driven by the requirements of serving billions of users, have led to the maturation of new database architecture alternatives, which motivate modernizing applications to leverage cloud-native, serverless, highly-distributed database options. Fauna strengthens relational data consistency among these newer alternatives while leveraging a cloud-native, serverless, flexible document model that abstracts most operational complexities from application developers.

Multi-model: FaunaDB, MongoDB, Redis among others.