Azure Cosmos DB vs EJDB

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

Azure Cosmos DB is a Ai Tools & Services solution with tags like nosql, document-database, microsoft-azure, cloud-database.

It boasts features such as 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 pros including High scalability and availability, Low latency worldwide access, Multiple APIs and SDKs, Automatic indexing and querying, Flexible data models, Serverless option reduces ops overhead.

On the other hand, EJDB is a Development product tagged with json, database, embedded, c, local-storage.

Its standout features include Embedded, Written in C, JSON document storage, Querying and indexing of JSON documents, Fast performance, Lightweight, ACID transactions, Replication and Hot Backup, and it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

EJDB Features

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

Pros & Cons Analysis

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

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

Pricing Comparison

Azure Cosmos DB

• Pay-As-You-Go
• Subscription-Based

EJDB

• Open Source