Couchbase vs. MongoDBTM for Query

Couchbase is a distributed NoSQL document-oriented database with a core architecture that supports a flexible data model, easy scalability, consistent high-performance, always-on 24×365 characteristics, and advanced security. It has been adopted across multiple industries and in the largest enterprises for their most business-critical applications. Many of those customers, including: Equifax, Nuance, and Staples, have gone through rigorous evaluations of Couchbase alongside MongoDB, and have chosen Couchbase based on a strong set of differentiated capabilities and architectural advantages, including:

• Scale-Out and High Availability
• Global Deployment
• SQL/SQL++ Query for JSON
• Hybrid Operational and Analytical Processing
• Full-Text Search
• Server-Side Eventing and Functions
• Embedded Mobile DatabaseIn this paper, we will focus on how MongoDB compares to Couchbase when it comes to query. Couchbase offers a declarative query language (N1QL) based on open standards, providing users with the familiarity of SQL and the flexibility of JSON and nested data structures.