In today's rapidly evolving digital landscape, data is the lifeblood of any application or service. Developers and businesses often find themselves needing to adapt and scale their databases to meet changing requirements. One common scenario is the migration from Firebase Firestore, a popular NoSQL database, to Azure Cosmos DB, Microsoft's globally distributed, multi-model database service. This migration can be driven by various factors, such as performance optimization, scalability needs, compliance requirements, or a shift in the cloud ecosystem.
In this comprehensive guide, we will take you on a journey through the process of migrating your data from Firebase Firestore to Azure Cosmos DB. We will begin by exploring the fundamental differences and structures of these two databases. Understanding the intricacies of both Firestore and Cosmos DB is crucial for a successful migration, as it will enable you to make informed decisions and minimize potential pitfalls along the way.
Firebase Firestore is a NoSQL, document-oriented database that is part of the Firebase platform, a cloud-based mobile and web application development platform by Google. Firestore is designed for real-time data synchronization, scalability, and seamless integration with other Firebase services.
Firestore stores data in collections, which are analogous to tables in traditional relational databases. Each collection contains a set of documents, and documents are the individual data units in Firestore. Documents are represented in JSON format, making it easy to work with structured data.
Firestore's data model includes collections, documents, and fields:
Firestore's flexible data model and real-time capabilities make it a popular choice for building modern web and mobile applications.
Azure Cosmos DB is a fully managed NoSQL and relational database for modern app development. It is a globally distributed, multi-model database service provided by Microsoft Azure. It is designed for high availability, low latency, and seamless scaling across multiple regions. Cosmos DB supports multiple data models, including document, key-value, graph, column-family, and table, making it suitable for a wide range of applications.
Azure Cosmos DB offers multiple database APIs, which include NoSQL, MongoDB, PostgreSQL Cassandra, Gremlin, and Table. These APIs allow your applications to treat Azure Cosmos DB as if it were various other database technologies, without the overhead of management, and scaling approaches. Azure Cosmos DB helps you to use the ecosystems, tools, and skills you already have for data modelling and querying with its various APIs.
For this blog, we are going to focus on API FOR NOSQL since it’s the most compatible API with our scenario.
Azure Cosmos DB's data model is rooted in its support for multiple data models, but for the purpose of this migration, we will focus on the document data model, which is most like Firestore.
We are going to focus on a task management system database. This is the database structure we are going to use.
We have two collections tasksCollection and usersCollections. Each has three documents with ids like task1-id, task2-id, task3-id, user1-id, user2-id, user3-id.
Each document has various fields comprised of key and value pairs.
Rename the Json file to appConfig.json and open that folder in VS Code. Then add this command on the terminal ` npx -p node-firestore-import-export firestore-export -a appConfig.json -b firebaseExportedDBFile.json`. This will use appConfig.json data to export our database to firebaseExportedDBFile.json.
git clone https://github.com/kelcho-spense/Firebase_to_Cosmos_DB_JSON_Object_Parser.git
Move firebaseExportedDBFile.json inside the folder we cloned. Make sure the file matches the filename we are importing. The function below uses loops and node.js fs module to remove and restructure our and export all the collections inside the original firebaseExportedDBFile.json into collection files.
on the terminal to change directory, then run
yarn or npm install
to install the node packages. Then to start the node.js local server
yarn start or npm start
Search for Azure Cosmos DB and select the first option.
NB: you can as well import the original JSON file we exported from Firestore DB, but I just wanted us to simulate the file structure in firebase.
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