List of JSON Databases
JSON is a popular choice for storing and managing data in modern applications, thanks to its simplicity and flexibility. In this blog post, we will take a look at some of the best JSON databases available today.
Whether you are a developer looking to store data in a JSON database or you simply want to learn more about this type of database, this blog post will provide you with a list of the top JSON databases to consider.
What is a JSON Database?
JSON databases are designed specifically to store and manage JSON data. They offer a range of features and capabilities to help you work with this data effectively, such as indexing, querying, and filtering JSON data. Some JSON databases also support transactions, data modeling, and other features that are common in traditional relational databases.
JSON databases are often used in modern application architectures, such as microservices and serverless architectures, where they can be used to store data for APIs and other services. They are also popular for storing and managing data in real-time applications, such as chat applications, gaming systems, and other applications that require fast data access and low latency.
List of Popular JSON Databases
Here is a list of popular database management systems that support JSON:
- MongoDB: MongoDB is a popular cross-platform NoSQL DBMS, with support for Windows, Mac, Solaris, and various Linux distributions at the time of writing. This database is used in production by some of the largest companies including Facebook, Google, Cisco, and Forbes. Internally, documents are encoded into BSON (Binary JSON) format — a binary-encoded variant of JSON that additionally supports additional data types as well as being efficient both for encoding and decoding within many programming languages. MongoDB's modern technology continues to encourage more organizations to harness its power for their storage needs.
- PostgreSQL: PostgreSQL is an open-source object-relational database management system that emphasizes extensibility, standards compliance, and user customization. It has rapidly become the go-to option for various organizations that need dependable and powerful database software. Utilizing its two JSON data types (JSON, and JSONB) in addition to a range of related functions and operators, PostgreSQL enables superior flexibility in storing different types of data. This reliable platform is already being embraced by some major corporations.
- Apache Cassandra: Apache Cassandra is an open-source NoSQL distributed database lauded for its scalability and high fault tolerance. Providing linear scalability on commodity hardware or cloud infrastructure, it makes the perfect platform for mission-critical data. Plus, its masterless architecture and low latency mean that Cassandra will withstand an entire data center outage with no data loss – no matter whether your servers are located across public or private clouds and on-premises. To take it one step further, Cassandra’s support for replicating across multiple data centers ensures you can survive regional outages with minimal hassle – plus enjoy lower latency when accessing your data.
- Couchbase: The Couchbase Data Platform is revolutionizing the way businesses store, interact and engage with their data. Both Couchbase Server and Couchbase Mobile are open-source NoSQL multi-model document-oriented database management systems that store JSON documents and enable high-performance applications. It is an Engagement Database, which means it allows companies to access data instantly from any device or channel; a business can create dynamic relationships with customers, personalize engagement and gain valuable insights into customer behavior. This revolutionary platform gives organizations the intelligence to build, manage and secure real-time experiences across all channels more effectively than ever before.
- RethinkDB: RethinkDB is a NoSQL database that is designed for real-time, distributed applications. It has a flexible data model and supports fast querying and indexing of JSON data.
- OrientDB: OrientDB is an open-source, NoSQL database management system written in Java. Not only does it offer the typical key/value and document models of similar systems, but also supports more complex graph and object models, allowing for intricate relationships to be managed directly between records.
- JSONBin: JSONBin is a cloud-based, NoSQL database. It is designed for storing and managing JSON data and provides a simple API for accessing and manipulating data.
- Cloud Firestore: Cloud Firestore is a NoSQL document-oriented database provided by Google Cloud. It stores data in JSON format and is designed for real-time, collaborative applications.
- Cosmos DB: Microsoft Azure's Cosmos DB is a revolutionary, multi-model database designed to offer a low latency and high availability experience to its users. It boasts unparalleled scalability, allowing you to scale any workload without limits due to the range of options and architectures it offers, always ensuring unrivaled performance.
- lowdb: Lowdb combines a lightweight yet powerful data structure with an unbelievably simplistic API. Written in TypeScript, it's versatile enough to support NodeJS, Electron, and even browser applications. Lowdb also boasts a beautiful minimalist approach that doesn't compromise on its features with support for atomic write functions, adaptable storage mechanisms, customizable file formats (including JSON, YAML, and more), and many more.
What are the Benefits of Using a JSON Database?
JSON databases provide many benefits for developers.
First, they allow for faster development due to their flexible structure. Unlike traditional relational databases, which require developers to define the structure of data before it can be stored, JSON databases allow developers to quickly store and retrieve data without worrying about formatting or structure. This makes them well-suited for applications where the data models may change over time.
JSON database is that they are highly scalable and can easily accommodate large datasets. This makes them ideal for applications that require fast access to large amounts of data, such as big data analytics projects or real-time streaming applications. Additionally, since there is no need to define the structure of data beforehand, it also makes them well-suited for applications where the schema may change frequently or unpredictably.
JSON databases are easy to use and administer. Their simple design means there is minimal setup required and maintenance costs are low compared to other types of NoSQL databases like key-value stores or document stores. Furthermore, since there is no need to define schemas upfront, you can also save time on administrative tasks like setting up indexes or running migrations when your schema changes over time.