NosDB
NosDB is an open-source, schema-less, document-oriented database that is designed to be fast, scalable, and easy to use. It uses JSON to store data and has a simple API that allows storing, querying, and managing document collections.
NosDB: Open-Source Schema-Less Database
NosDB is an open-source, schema-less, document-oriented database that is designed to be fast, scalable, and easy to use. It uses JSON to store data and has a simple API that allows storing, querying, and managing document collections.
What is NosDB?
NosDB is an open-source, schema-less, document-oriented database that is well-suited for modern applications that need flexibility and scalability. Here are some key features of NosDB:
- Document model - Data is stored in flexible JSON documents that can have varied structures and nesting, unlike rigid tables and rows in SQL databases.
- High performance - NosDB uses indexes and caching to allow fast reads and writes that scale horizontally across clusters.
- Easy scalability - It has auto-sharding built-in to automatically distribute data and queries across nodes as per demand.
- Query flexibility - Supports ad hoc queries, range queries, fuzzy searches and more using a rich query language.
- High availability - NosDB replicates data across nodes with no single point of failure to ensure 24/7 uptime.
- NoSQL with ACID transactions - Provides atomicity, consistency, isolation, and durability within documents to ensure data integrity.
- Multi-model API - Supports both SQL and native APIs for manipulating JSON data.
With robust features, intuitive JSON interface, and ease of scaling, NosDB is a great open-source database for modern cloud-based apps that need flexibility and speed at scale.
NosDB Features
Features
- Schema-less JSON document storage
- High performance and scalability
- Indexing and querying documents
- Replication and sharding
- MapReduce for aggregation
- REST API
Pricing
- Open Source
Pros
Easy to get started
Flexible data models
Good performance
Scales horizontally
Open source
Cons
No transactions
Can be harder to query than SQL
Less ecosystem than MongoDB
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