As a DevOps engineer, it is important to be familiar with a variety of database technologies in order to effectively manage and maintain the performance and reliability of a system.
Some of the types of databases that you should be familiar with:
1. Relational databases:
These are the most common type of database, and are based on the relational model of data organization.
Examples include MySQL, Oracle, and Microsoft SQL Server.
2. NoSQL databases:
These are non-relational databases that are designed to handle large amounts of unstructured data.
Examples include MongoDB, Cassandra, and Apache HBase.
3. Graph databases:
These are specialized databases that are used to store and query graph data, such as networks or relationships between entities.
Examples include Neo4j and Amazon Neptune.
4. Time series databases:
These are specialized databases that are optimized for storing and querying time-series data, such as metrics or sensor readings.
Examples include InfluxDB and Prometheus.
5. In-memory databases:
These are databases that store data in memory, allowing for faster access and processing than traditional disk-based databases.
Examples include Redis and Apache Ignite.
6. Object-oriented databases:
These are databases that are designed to store and manage objects, allowing for more flexible data modeling and easier integration with object-oriented programming languages.
Examples include ObjectDB and Apache Sling.
7. NewSQL databases:
These are databases that combine the scalability of NoSQL databases with the consistency and transactional support of relational databases.
Examples include CockroachDB and Google Cloud Spanner.
Comment below which databases you think DevOps engineers must learn.
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