EJDB vs Azure Cosmos DB

Struggling to choose between EJDB and Azure Cosmos DB? Both products offer unique advantages, making it a tough decision.

EJDB is a Development solution with tags like json, database, embedded, c, local-storage.

It boasts features such as Embedded, Written in C, JSON document storage, Querying and indexing of JSON documents, Fast performance, Lightweight, ACID transactions, Replication and Hot Backup and pros including Fast and lightweight, Embedded so no need to setup database server, Good for local JSON storage and queries, Performs well for IoT and mobile applications, Supports indexing for fast queries, Open source with permissive license.

On the other hand, Azure Cosmos DB is a Ai Tools & Services product tagged with nosql, document-database, microsoft-azure, cloud-database.

Its standout features include Globally distributed database, Multiple data models (document, key-value, wide-column, graph), Automatic indexing and querying, Multi-master replication, Tunable consistency levels, Serverless or provisioned throughput, SLAs for high availability, Encryption at rest and in transit, and it shines with pros like High scalability and availability, Low latency worldwide access, Multiple APIs and SDKs, Automatic indexing and querying, Flexible data models, Serverless option reduces ops overhead.

Feature	EJDB	Azure Cosmos DB
Overall Score	N/A	N/A
Primary Category	Development	Ai Tools & Services

Product Overview

EJDB

Description: EJDB is an embedded JSON database engine library written in C. It is fast, lightweight, and provides querying and indexing of JSON documents stored locally on disk.

Azure Cosmos DB

Description: Azure Cosmos DB is a globally distributed, multi-model database service by Microsoft for mission-critical applications. It supports document, key-value, wide-column, and graph databases, and provides APIs for multiple platforms.

Key Features Comparison

EJDB Features

• Embedded
• Written in C
• JSON document storage
• Querying and indexing of JSON documents
• Fast performance
• Lightweight
• ACID transactions
• Replication and Hot Backup

Azure Cosmos DB Features

• Globally distributed database
• Multiple data models (document, key-value, wide-column, graph)
• Automatic indexing and querying
• Multi-master replication
• Tunable consistency levels
• Serverless or provisioned throughput
• SLAs for high availability
• Encryption at rest and in transit

Pros & Cons Analysis

EJDB

Pros

• Fast and lightweight
• Embedded so no need to setup database server
• Good for local JSON storage and queries
• Performs well for IoT and mobile applications
• Supports indexing for fast queries
• Open source with permissive license

Cons

• Limited adoption and community support
• Not suitable for large scale or distributed systems
• Lacks some advanced database features like joins
• Only supports JSON documents

Azure Cosmos DB

Pros

• High scalability and availability
• Low latency worldwide access
• Multiple APIs and SDKs
• Automatic indexing and querying
• Flexible data models
• Serverless option reduces ops overhead

Cons

• Can be more expensive than other databases
• Steep learning curve for some features
• Limited query support compared to SQL databases
• Vendor lock-in

Pricing Comparison

EJDB

• Open Source

Azure Cosmos DB

• Pay-As-You-Go
• Subscription-Based