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About Apache CouchDB

Apache CouchDB is a database software from Apache Software Foundation that provides a reliable NoSQL database management solution. It includes smooth multi-primary sync, an intuitive HTTP/JSON API, and supports scalability from Big Data to mobile applications, allowing users to access data where they need it. CouchDB is designed for reliability, ensuring data consistency and availability across distributed systems. It also has a strong community presence with opportunities for contributions through CouchDB Chat and mailing lists. Key capabilities: smooth multi-primary sync intuitive HTTP/JSON API designed for reliability scalable from Big Data to mobile active community engagement Best for: developers and organizations that need a stable NoSQL database solution for varied applications.

Apache CouchDB Details

Vendor
Apache Software Foundation
Year Launched
2008
Location
Germany
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English
Users
Developers, Data Scientists, IT Administrators, Database Administrators, System Analysts, Business Intelligence Analysts.
Industries Served
Healthcare, Education, Finance, Retail, Technology
Tags
Big Data Software, Apache CouchDB

Apache CouchDB's In-App Market Place

Does Apache CouchDB have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$), INR (₹), RUB (₽), ZAR (R)

Pros & Cons

  • 1. Offline Capabilities: CouchDB excels as an offline NoSQL database, making it suitable for environments with intermittent connectivity.
  • 2. Easy Data Replication: Simplifies the process of creating backups and restoring servers.
  • 3. User-Friendly Data Maintenance: Offers a relatively straightforward approach to managing data.
  • 4. Parallel Architecture (M/R System): Leverages parallel processing for efficient data handling.
  • 5. Master-to-Master Replication: Enables flexible data synchronization between multiple nodes.
  • 6. Client-Side DB Copy: Provides the ability to maintain a local copy of the database for offline access or faster response times.
  • 1. JSON-Based Configuration: Can be less intuitive for those unfamiliar with JSON, potentially increasing the learning curve.
  • 2. Complex Access Controls: Requires a thorough understanding of JSON-based access control mechanisms.
  • 3. Steep Learning Curve for UI: The user interface may require significant time and practice to master.
  • 4. Limited Gzip Support: Lacks support for gzipped responses, which can impact performance in certain scenarios.
  • 5. Clustered Mode Limitations: Nodes in clustered mode cannot share computed view data, potentially affecting performance and scalability.

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