tendermint VS MongoDB

Tendermint Core / CometBFT — a state machine replication engine (written in Go);

There are good use-cases, but to much focus on cryptocurrencies. Frameworks are not well designed to be used in other use-cases. Best that I have found that doesn't forces you to a specific architecture is Tendermint, but is not even close to state-of-the-art performance and scalability. Everything else is designed around cryptocurrency and smart contracts.

BFT is an algorithm that ensures that the whole network works well even if a few members are acting fraudulently. As long as these fraudulent members are less than 33% of those who have voting power, the network will work fine. Those with voting power are those with something at stake. Cosmos uses a type of BFT consensus engine known as Tendermint. Cosmos uses Tendermint because it provides the best support for building POS blockchains.

Relevant Github ticket showing chains are now scrambling to decide which fork to use: https://github.com/tendermint/tendermint/issues/9972

BlockX is based on Tendermint Core, which relies on a set of validators that are responsible for committing new blocks in the blockchain. These validators participate in the consensus protocol by broadcasting votes which contain cryptographic signatures signed by each validator's private key.

Built with Cosmos and Tendermint.

Haqq is a scalable, high-throughput Proof-of-Stake blockchain that is fully compatible and interoperable with Ethereum. It's built using the Cosmos SDK which runs on top of Tendermint Core consensus engine.Haqq allows for running vanilla Ethereum as a Cosmos application-specific blockchain. This allows developers to have all the desired features of Ethereum, while at the same time, benefit from Tendermint’s PoS implementation. Also, because it is built on top of the Cosmos SDK, it will be able to exchange value with the rest of the Cosmos Ecosystem through the Inter Blockchain Communication Protocol (IBC)Features

Tendermint

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.

I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.

In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.

MongoDB to store our data as documents, close to JS objects

MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.

MongoDB

Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.

We will be using MongoDB as a database on both the Auth microservice and notifications microservice, sign up for a MongoDB Atlas account here incase you donot have one and donot have its desktop application(mongodb campass) installed and would like to use mongodb atlas. This cloud-based database service offers a free tier and simplifies the process of managing MongoDB databases.

Head over to MongoDB and create an account or login to grab your connection string.

MongoDB, a document-oriented NoSQL database, will be our data powerhouse. We'll utilize the mongo-driver library to seamlessly connect our Golang application to MongoDB. This section will cover essential database interactions, including creating collections, storing metadata, and efficiently querying for image-related data. Understanding these fundamentals is crucial for building a robust image storage and retrieval system.