Table of Contents
- 1 What is Apache Cassandra good for?
- 2 How does Apache Cassandra store data?
- 3 Is Cassandra good for time series data?
- 4 Is Cassandra a document store?
- 5 Is Cassandra good for data lake?
- 6 Is Apache Cassandra a distributed database?
- 7 What is cluster in Cassandra data model?
- 8 What is the difference between Cassandra and Hadoop?
What is Apache Cassandra good for?
Why use Apache Cassandra – modernise your cloud Time-series data: Cassandra excels at storing time-series data, where old data does not need to be updated. Globally-distributed data: Geographically distributed data where a local Cassandra cluster can store data and then reach consistency at later points.
How does Apache Cassandra store data?
Data in Cassandra is stored as a set of rows that are organized into tables. Tables are also called column families. Each Row is identified by a primary key value. You can get the entire data or some data based on the primary key.
Which type of data storage system Cassandra is used?
Cassandra is one of the most efficient and widely-used NoSQL databases. One of the key benefits of this system is that it offers highly-available service and no single point of failure.
Is Cassandra good for time series data?
Cassandra has good support for modelling time series data wherein each row can have dynamic number of columns. The viewing history data write to read ratio is about 9:1. Since Cassandra is highly efficient with writes, this write heavy workload is a good fit for Cassandra.
Is Cassandra a document store?
Columnar Databases: HBase and Cassandra is a type of Columnar database. Document Databases: CouchDB and MongoDB is a type of Document Database. Document databases store and retrieve semi-structured data in the format of documents such as XML, JSON, etc. Graph Databases: Polyglot, Neo4J is a type of Graph Database.
How does Cassandra store data internally?
Cassandra isn’t a classical column store. It stores all inserted/updated data together, organized first by partition key, and then inside partition by clustering columns/primary keys.
Is Cassandra good for data lake?
HDFS is extremely good at handling the diversity of data in a big data lake. IoT big data, video and audio files and text records – with HDFS you can store every data type. If we compare, Apache Cassandra is good for storing IoT big data, while MongoDB – texts. HDFS supports a wide range of processing techniques.
Is Apache Cassandra a distributed database?
Yes, it is a distributed database. Apache Cassandra is a highly scalable and available distributed database that facilitates allows storing and managing high velocity structured data across multiple commodity servers without a single point of failure.
Where is the data stored in Cassandra?
Cassandra stores the data in data directory. Data directory can be configured in cassandra.yaml. If not set, the default directory is $CASSANDRA_HOME/data/data. Inside data directory there will be folder for keyspace followed by column-family. Data is stored in there . In Column-family directory toy will find multiple files:
What is cluster in Cassandra data model?
Cluster in Cassandra Data Model. In Cassandra Data model, Cassandra database stores data via Cassandra Clusters. Clusters are basically the outermost container of the distributed Cassandra database. The database is distributed over several machines operating together. Every machine acts as a node and has their own replica in case of failures.
What is the difference between Cassandra and Hadoop?
Cassandra is a key value data store. Hadoop at its core is a file system with a bunch of services and platforms on top of it. With both tools you get HA almost for free. Hadoop distributes compute in a very general sense when accessing the file system.