Couchbase Server

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About Couchbase Server

Couchbase Server is a NoSQL cloud developer data platform from Couchbase that supports critical, AI-powered applications. It combines Couchbase Capella Database-as-a-Service, Self-Managed Couchbase Server, and AI-enabled services so developers can build and deploy at high speed. This platform is designed for performance, affordability, and ease of use, catering to the needs of developers tackling complex use cases. With features like a comprehensive platform for critical applications and AI services for agent development, Couchbase Server offers a reliable solution for modern data needs. Key capabilities: Couchbase Capella Database-as-a-Service Self-Managed Couchbase Server AI-enabled agent development High-performance data processing Multicloud support Best for: developers seeking a reliable database solution for AI and data-intensive applications.

Couchbase Server Details

Vendor

Couchbase

Year Launched

2009

Location

3250 Olcott Street Santa Clara, CA 95054 United States

Deployment

cloud, on premise, windows, linux

Training Options

documentation, videos, live online, in person

Countries Served

All Countries.

Languages

English, Spanish, German, French, Italian, Dutch, Portuguese, Japanese, Chinese, Russian, Korean, Turkish, Arabic, Hindi

Users

Enterprises with interactive web and/or mobile applications

Industries Served

Cloud computing, mobile applications, analytics, artificial intelligence (AI), edge computing, IoT (Internet of Things), e-commerce, gaming, financial services, telecommunications, and healthcare.

Couchbase Server's In-App Market Place

Does Couchbase Server have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CNY (¥), INR (₹), MXN (Mex$), CHF (CHF), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), NOK (kr), BRL (R$)

Pros & Cons

High Performance: Known for its speed and efficiency, especially when dealing with large datasets.
Flexibility: Supports multiple data models, including JSON, key-value, and document.
Scalability: Easily scales to handle increasing workloads.
Reliability: Offers high availability and disaster recovery features.
Developer-Friendly: Provides a user-friendly interface and API.

Complexity: Can be complex to set up and manage, especially for large-scale deployments.
Limited Query Capabilities: While it supports SQL-like queries, it may not be as powerful as traditional relational databases.
Cost: The pricing model can be complex, and the cost can vary depending on the specific needs of the organization.
Learning Curve: Requires some learning and training to fully leverage its capabilities.