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Schema Free

Schema Free (schemaless) databases and APIs allow data to be stored and retrieved without a predefined fixed schema. Rather than enforcing structure at the database level, schema-free systems delegate schema management to the application layer. This enables rapid prototyping, flexible document storage, and agile development workflows. Key schema-free technologies include MongoDB (document store), Redis (key-value store), Apache Cassandra (wide-column store), Amazon DynamoDB (managed NoSQL), Elasticsearch (search/document store), and Apache CouchDB. While called "schemaless," these systems typically have implicit application-level schemas that must be managed carefully.

4 APIs 0 Features
Schema FreeSchemalessNoSQLDocument StoreFlexible SchemaMongoDBDynamoDBElasticsearch

APIs

MongoDB Atlas Data API

The MongoDB Atlas Data API provides a REST API for accessing data stored in MongoDB Atlas clusters. MongoDB is a document-oriented NoSQL database that stores data in flexible, J...

Amazon DynamoDB API

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database service. DynamoDB tables have a flexible schema — only the primary key attributes need to be defined at ...

Elasticsearch REST API

Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene. Elasticsearch uses a schemaless approach where documents can be indexed without a pre...

Redis JSON API (RedisJSON)

RedisJSON is a Redis module that provides native JSON storage and retrieval capabilities. Redis is a key-value store that supports schema-free JSON documents (via RedisJSON), al...

Semantic Vocabularies

Schema Free Context

0 classes · 13 properties

JSON-LD

Resources

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Website
Website
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JSONSchema
JSONSchema
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JSONStructure
JSONStructure
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JSONLDContext
JSONLDContext
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Vocabulary
Vocabulary

Sources

apis.yml Raw ↑
name: Schema Free
description: Schema Free (schemaless) databases and APIs allow data to be stored and retrieved without a predefined fixed schema. Rather than enforcing structure at the database level, schema-free systems delegate schema management to the application layer. This enables rapid prototyping, flexible document storage, and agile development workflows. Key schema-free technologies include MongoDB (document store), Redis (key-value store), Apache Cassandra (wide-column store), Amazon DynamoDB (managed NoSQL), Elasticsearch (search/document store), and Apache CouchDB. While called "schemaless," these systems typically have implicit application-level schemas that must be managed carefully.
url: https://github.com/api-evangelist/schema-free
x-type: topic
tags:
- Schema Free
- Schemaless
- NoSQL
- Document Store
- Flexible Schema
- MongoDB
- DynamoDB
- Elasticsearch
created: '2026-05-02'
modified: '2026-05-02'
apis:
- name: MongoDB Atlas Data API
  description: The MongoDB Atlas Data API provides a REST API for accessing data stored in MongoDB Atlas clusters. MongoDB is a document-oriented NoSQL database that stores data in flexible, JSON-like BSON documents without requiring a predefined schema. The Atlas Data API supports CRUD operations, aggregation pipelines, and real-time data access without needing a MongoDB driver.
  humanURL: https://www.mongodb.com/developer/products/atlas/atlas-data-api/
  baseURL: https://data.mongodb-api.com/app/{App ID}/endpoint/data/v1
  tags:
  - MongoDB
  - Document Store
  - NoSQL
  - Atlas
  properties:
  - type: Documentation
    url: https://www.mongodb.com/docs/atlas/app-services/data-api/
  - type: Reference
    url: https://www.mongodb.com/docs/atlas/app-services/data-api/openapi/

- name: Amazon DynamoDB API
  description: Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database service. DynamoDB tables have a flexible schema — only the primary key attributes need to be defined at table creation. All other attributes can vary from item to item, enabling schema-free document storage with the scalability and management of a managed cloud service.
  humanURL: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/
  baseURL: https://dynamodb.us-east-1.amazonaws.com
  tags:
  - AWS
  - DynamoDB
  - NoSQL
  - Key-Value
  - Serverless
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/
  - type: Reference
    url: https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/

- name: Elasticsearch REST API
  description: Elasticsearch is a distributed, RESTful search and analytics engine built on Apache Lucene. Elasticsearch uses a schemaless approach where documents can be indexed without a predefined mapping, with dynamic mapping automatically inferring field types. It is commonly used for full-text search, log analytics, and real-time data exploration.
  humanURL: https://www.elastic.co/guide/en/elasticsearch/reference/current/rest-apis.html
  baseURL: https://localhost:9200
  tags:
  - Elasticsearch
  - Search
  - Document Store
  - Analytics
  properties:
  - type: Documentation
    url: https://www.elastic.co/guide/en/elasticsearch/reference/current/rest-apis.html

- name: Redis JSON API (RedisJSON)
  description: RedisJSON is a Redis module that provides native JSON storage and retrieval capabilities. Redis is a key-value store that supports schema-free JSON documents (via RedisJSON), allowing applications to store, update, and query JSON documents without schema constraints.
  humanURL: https://redis.io/docs/data-types/json/
  baseURL: https://your-redis-host:6379
  tags:
  - Redis
  - Key-Value
  - JSON
  - In-Memory
  properties:
  - type: Documentation
    url: https://redis.io/docs/data-types/json/

common:
- type: Website
  url: https://www.mongodb.com/resources/basics/databases/nosql-explained/data-modeling
- type: JSONSchema
  url: json-schema/schema-free-document-schema.json
- type: JSONStructure
  url: json-structure/schema-free-nosql-structure.json
- type: JSONLDContext
  url: json-ld/schema-free-context.jsonld
- type: Vocabulary
  url: vocabulary/schema-free-vocabulary.yml
maintainers:
- FN: API Evangelist
  email: [email protected]