Role-Based Access Control (RBAC) We implement granular access control policies, ensuring only authorized users can access, modify, or delete database records.
Data Encryption & Secure Storage We use AES encryption for data at rest and TLS/SSL encryption for data in transit, preventing unauthorized access.
Authentication & Identity Verification Our security solutions include OAuth, JWT, and LDAP integration to enhance identity verification and prevent unauthorized access.
Secure Replication & Conflict Resolution We ensure secure replication across multiple nodes while preventing unauthorized data modifications and ensuring data integrity.
DDoS & SQL Injection Prevention We safeguard CouchDB against DDoS attacks, injection attacks, and unauthorized API requests by implementing strict security policies.
Security Audits & Compliance Checks Regular security audits and compliance checks ensure CouchDB applications meet industry standards like GDPR, HIPAA, and ISO 27001.
JSON Documents CouchDB stores data in JSON format, allowing for flexible and schema-free document structures. This makes it well-suited for dynamic and evolving data.
ACID Properties Despite being a NoSQL database, CouchDB ensures data integrity through support for ACID (Atomicity, Consistency, Isolation, Durability) properties.
Replication One of CouchDB's standout features is its robust replication mechanism. It supports bidirectional replication, enabling data synchronization across multiple nodes.
Node-based Architecture CouchDB is built on a distributed, peer-to-peer architecture. Each instance of CouchDB is a node that can communicate with other nodes.
CAP Theorem CouchDB follows the principles of the CAP theorem, emphasizing consistency, availability, and partition tolerance. It allows administrators to configure the trade-offs.
Storage Engine CouchDB uses the B-tree data structure for storing documents, providing efficient retrieval and indexing capabilities.
Apache Incubator Origins CouchDB started as a project in the Apache Incubator in 2008 before graduating to a top-level Apache project later that year. This move to the Apache Software Foundation solidified.
Named After Couch Potatoes Contrary to what some may think, the name "CouchDB" doesn't stand for "Couch Database" but is a nod to the idea of "Cluster Of Unreliable Commodity Hardware." The term "Couch" was chosen to evoke a sense of comfort and relaxation.
Designed for Offline-First Applications CouchDB is well-suited for offline-first applications. Its ability to work seamlessly in disconnected environments, coupled with its bidirectional replication.
Futon - The Built-In Web Interface With rewarding performance constraints, CouchDB is one of the most premium databases with ultimate performance records.
MapReduce for Queries CouchDB uses MapReduce for querying and indexing data. Views, defined through JavaScript functions, enable efficient querying and reporting.
Document Storage in B-Trees CouchDB stores documents in B-trees, a self-balancing tree data structure. This choice of storage structure contributes to efficient retrieval and indexing of documents.
Eventual Consistency and CAP Theorems CouchDB adheres to the principles of the CAP theorem, emphasizing consistency, availability, and partition tolerance. In the face of network partitions, CouchDB opts for eventual consistency.
Written in Erlang CouchDB is implemented in Erlang, a programming language known for its concurrency support and fault-tolerance features. Erlang's design aligns well with CouchDB's distributed architecture
CouchDB 2.0 Clustering and Performance Improvements: CouchDB 2.0, a significant release, introduced clustering capabilities, enhancing the database's scalability
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