Cassandra for Data Management

Apache Cassandra: The Game-Changing Database for Big Tech Companies

Apache Cassandra 5 MIN READ June 15, 2023
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ksolves Team

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Frequently Asked Questions

Is Apache Cassandra suitable for real-time analytics?

Yes, Cassandra is suitable for Real-Time Analytics. It integrates well with Apache Spark and Apache Hadoop, enabling efficient processing and analysis of big data in real-time. Cassandra’s low-latency access to data and ability to handle high-speed data ingestion make it a powerful choice for real-time analytics workloads.

How does Cassandra handle data replication?

Cassandra uses a peer-to-peer distributed architecture to replicate data across multiple nodes. It employs a replication factor that determines the number of copies of each data item stored in the cluster. The replication factor can be configured based on the desired level of data redundancy and fault tolerance. Cassandra automatically handles data replication, ensuring that copies of data are distributed across different nodes in the cluster for high availability.

Can Cassandra be used in cloud environments?

Yes, Cassandra can be used in cloud environments. It is often deployed in cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Cloud providers offer managed Cassandra services, making it easier to set up, configure, and scale Cassandra clusters in the cloud. These services handle administrative tasks, such as cluster management and monitoring, allowing developers to focus on their applications