What problem does Cassandra solve?

Cassandra is designed to solve problems associated with operating at a large (web) scale. It was designed under similar principles discussed in Amazon's Dynamo paper,[7,p.205] where in a large, complicated system of interconnected hardware, something is always in a state of failure. Cassandra is designed to solve problems associated with operating at a large (web) scale. It was designed under similar principles discussed in Amazon's Dynamo paper, [7, p.205] where in a large, complicated system of interconnected hardware, something is always in a state of failure.

What is Cassandra database good for?

To start with, a short overview – Apache Cassandra is a database that focuses on reliable performance, speed and scalability. It quickly stores massive amounts of incoming data and can handle hundreds of thousands of writes per second.

When would you use Cassandra?

Here are some of the reasons Cassandra is a good fit for IoT and edge computing needs:Cassandra can ingest concurrent data from any node in the cluster, since all have read/write capacity.Ability to handle a large volume of high-velocity, time-series data.High availability.Supports continuous, real-time analysis.Exploring Common Apache Cassandra Use Cases - DataStax

Where is Cassandra database used?

Cassandra implements a Dynamo-style replication model with no single point of failure, but adds a more powerful “column family” data model. Cassandra is being used by some of the biggest companies such as Facebook, Twitter, Cisco, Rackspace, ebay, Twitter, Netflix, and more.

What are the advantages and disadvantages of Cassandra?

It's open-source. It follows peer-to-peer architecture rather than master-slave architecture, so there isn't a single point of failure. Cassandra can be easily scaled down or up. It features data replication, so it's fault-tolerant and has high availability.

Why is Cassandra eventually consistent?

– arussell84 Mar 9 '17 at 14:40 1 Cassandra is not technically eventually consistent. Cassandra lets you trade off consistency for availability. Cassandra is basically balancing CAP theorem.

When to use Cassandra for reporting?

When to use Cassandra Being a part of the NoSQL family, Cassandra offers a solution for problems where one of your requirements is to have a very heavy write system and you want to have a quite responsive reporting system on top of that stored data.

Is there a fixed schema for Cassandra?

No fixed schema. Follows ACID (Atomicity, Consistency, Isolation, and Durability). It is only “eventually consistent”. Supports transactions. Does not support transactions. Besides Cassandra, we have the following NoSQL databases that are quite popular −

Is there an ACID property in Cassandra?

Cassandra is based on a NoSQL database and does not provide ACID and relational data properties. If you have a strong requirement for ACID properties (for example Financial data), Cassandra would not be a fit in that case.