What is the strong point of Cassandra?

Cassandra provides great performance under large data sets and based on the End Point Benchmark for top NoSQL databases, Cassandra outperformed the other NoSQL databases in both throughput and latency.

Why is Cassandra scalable?

Scalability – Cassandra has been shown to be linearly scalable. Since each node adds processing power as well as data capacity, it is possible to scale incrementally to very large data volumes and high throughputs by simply adding new nodes to the cluster.

What are the characteristics of a Cassandra?

Features of Cassandra

• High Scalability. Cassandra is highly scalable which facilitates you to add more hardware to attach more customers and more data as per requirement.
• Rigid Architecture.
• Fast Linear-scale Performance.
• Fault tolerant.
• Flexible Data Storage.
• Easy Data Distribution.
• Transaction Support.
• Fast writes.

What is Cassandra Devops?

Apache Cassandra is an close source distributed database management system designed to handle large amounts of data across many commodity servers providing high availability with no single point of failure.

Why do companies use Cassandra?

One open source application, Apache Cassandra, enables organisations to process large volumes of fast moving data in a reliable and scalable way. That’s why companies like Facebook, Instagram and Netflix use Apache Cassandra for mission-critical features.

Why is Cassandra wide column?

Also known as wide-column stores or partitioned row stores, they provide the option to organize related rows in partitions that are stored together on the same replicas to allow fast queries. For example, Apache Cassandra™ does not require all rows to contain values for all columns in the table.

What will happen to a write in Cassandra if the responsible node is down when you try to write data?

If you then perform a query when 2 nodes are down and you have a Consistency level of ALL, that query will fail if either of those nodes was responsible for a replica of the information you were trying to write or read.

What is Cassandra architecture?

Cassandra was designed to handle big data workloads across multiple nodes without a single point of failure. It has a peer-to-peer distributed system across its nodes, and data is distributed among all the nodes in a cluster.

What problem does Cassandra solve?

Cassandra helps solve complicated tasks with ease Event logging, metrics collection, performing queries against the historical data — all of these tasks can seem dull, yet they are of utmost importance both for Big Data and DevOps workflows.