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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

EJDB

EJDB

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.

Categories:
json database embedded c local-storage

EJDB Features

  1. Embedded
  2. Written in C
  3. JSON document storage
  4. Querying and indexing of JSON documents
  5. Fast performance
  6. Lightweight
  7. ACID transactions
  8. Replication and Hot Backup

Pricing

  • Open Source

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

Azure Cosmos DB

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.

Categories:
nosql document-database microsoft-azure cloud-database

Azure Cosmos DB Features

  1. Globally distributed database
  2. Multiple data models (document, key-value, wide-column, graph)
  3. Automatic indexing and querying
  4. Multi-master replication
  5. Tunable consistency levels
  6. Serverless or provisioned throughput
  7. SLAs for high availability
  8. Encryption at rest and in transit

Pricing

  • Pay-As-You-Go
  • Subscription-Based

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