Popular Technical Interview Questions

Open Source Cloud Databases

Name some open-source cloud computing platform databases.

Open-source cloud computing platform databases provide scalable and flexible database solutions that can be deployed in various cloud environments. Here are some popular open-source cloud databases:

1.      PostgreSQL:

1. Description: An advanced, open-source relational database known for its robustness, extensibility, and SQL compliance.
2. Cloud Platforms: AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL.

2.      MySQL:

1. Description: One of the most widely used open-source relational databases, known for its reliability and ease of use.
2. Cloud Platforms: AWS RDS, Google Cloud SQL, Azure Database for MySQL.

3.      MariaDB:

1. Description: A fork of MySQL, MariaDB offers improved performance and new features while maintaining compatibility with MySQL.
2. Cloud Platforms: AWS RDS, Google Cloud SQL, Azure Database for MariaDB.

4.      MongoDB:

1. Description: A popular open-source NoSQL database designed for scalability and high performance, ideal for handling large volumes of unstructured data.
2. Cloud Platforms: MongoDB Atlas (available on AWS, Google Cloud, Azure).

5.      Cassandra:

1. Description: An open-source NoSQL database designed for handling large amounts of data across many commodity servers without any single point of failure.
2. Cloud Platforms: Available on AWS, Google Cloud, Azure via managed services like DataStax Astra.

6.      Redis:

1. Description: An open-source, in-memory data structure store, used as a database, cache, and message broker, known for its high performance.
2. Cloud Platforms: AWS ElastiCache, Azure Cache for Redis, Google Cloud Memorystore.

7.      CouchDB:

1. Description: An open-source NoSQL database that uses JSON to store data and JavaScript for indexing, combining scalability and ease of use.
2. Cloud Platforms: Available on IBM Cloudant, AWS, Azure.

8.      Elasticsearch:

1. Description: An open-source search and analytics engine built on Apache Lucene, widely used for log and event data analysis.
2. Cloud Platforms: Elastic Cloud (available on AWS, Google Cloud, Azure).

9.      Apache HBase:

1. Description: An open-source, non-relational, distributed database modeled after Google’s Bigtable and written in Java, part of the Hadoop ecosystem.
2. Cloud Platforms: Available on AWS, Google Cloud, Azure via managed services like Google Bigtable.

10. TimescaleDB:

1. Description: An open-source time-series database optimized for fast ingest and complex queries, built as an extension to PostgreSQL.
2. Cloud Platforms: Available on AWS, Google Cloud, Azure.

These open-source databases can be deployed on various cloud platforms, offering flexibility, scalability, and cost-effectiveness for diverse data management needs.