Cassandra Overview
Cassandra, an open-source distributed NoSQL database system, is designed for managing massive amounts of data across multiple commodity servers while ensuring high availability and fault tolerance. Cassandra's decentralized architecture, built for horizontal scalability, makes it a resilient choice for handling large-scale data-intensive applications, including real-time analytics, content management systems, and Internet of Things (IoT) platforms. Its robust support for linear scalability, fault tolerance, eventual consistency, and flexible schema design enables organizations to tackle modern data challenges by effortlessly scaling their data infrastructure and maintaining data integrity, making Cassandra a pivotal player in the NoSQL database landscape.
Main features
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Distributed Architecture: Cassandra is built as a distributed database, allowing it to manage large datasets across multiple nodes or clusters, ensuring scalability and fault tolerance.
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Linear Scalability: Cassandra exhibits linear scalability, meaning you can add more nodes to the cluster as data volume and traffic grow, making it suitable for applications with varying workloads.
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High Availability: Cassandra ensures data availability by replicating data across nodes. No single point of failure contributes to the system's robustness.
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NoSQL Data Model: Cassandra uses a flexible, schema-less NoSQL data model that accommodates dynamic changes in the data structure, making it agile and adaptable.
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Tunable Consistency Levels: Cassandra offers tunable consistency levels, enabling developers to balance data consistency and availability according to application requirements.
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Wide-Column Store: Cassandra stores data in a wide-column format, optimizing data retrieval and query performance, particularly for analytical workloads.
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Built-in Caching: Cassandra includes an integrated caching mechanism that enhances read performance by storing frequently accessed data in memory.
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Multi-Datacenter Support: Cassandra supports multi-datacenter replication, facilitating global user disaster recovery and low-latency access.
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Time-Series Data Handling: Cassandra is well-suited for storing time-series data, making it ideal for applications like IoT, monitoring, and financial analytics.
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Security Features: Cassandra provides various security features, including authentication, authorization, and encryption, ensuring data protection and access control.