Back arrow
Glossary
Cloud data security posture management
Cloud and Storage Explained

DBaaS - Definition and most popular services in the category

Database-as-a-Service

Database-as-a-Service (DBaaS) is a managed cloud service paradigm that enables individuals and businesses to effortlessly access database services without worrying about managing software or infrastructure. All database infrastructure and data are hosted on DBaaS providers, who also make API endpoints available for access. They operate the databases while adhering to best practices, and are therefore responsible for quick provisioning, scalability, resilience, failover, backup, and restoration.

What is Database as a Service (DBaaS)? 

Database as a Service (DBaaS) is a cloud computing service model that gives users access to databases without requiring them to install software, set up physical infrastructure, or optimize performance. The service provider handles all administration and maintenance, leaving the user or owner of the application to simply use the database. DBaaS allows developers and businesses to deploy applications more quickly and flexibly while saving money on IT, offering a zero-management and cost-effective option.

How does DBaaS work?

DBaaS companies host all database infrastructure and data while providing API access. They comply to best practices and manage all databases, including rapid provisioning, scalability, resiliency, failover, backup, and restoration.

Additionally, DBaaS providers typically offer a wide range of capabilities such as monitoring, alerts, notifications, 24/7 support, and geo-replication for availability and backups. The service provider takes care of all administrative and maintenance duties, letting consumers utilize the database without having to worry about maintaining it.

What is a Database Management System (DBMS)?

DBMS is a software program that employs a common approach to data classification, retrieval, and query execution. Incoming data is organized and managed by the DBMS, which also offers tools for users or other applications to retrieve or modify the data.

The three main parts of the DBMS are a data storage engine, query/update engine and a schema management system. 

Popular examples of DBMS: MySQL, PostgersSQL, MongoDB and Redis. 

How do DBMS and DBaaS interact?

When implementing DBaaS, you must select both a cloud platform and a database management system. A variety of relational, NoSQL, and special-purpose database engines are available for DBaaS deployments from the key cloud database vendors, includes AWS, Google Cloud, Microsoft, and Oracle.

However, there are also a lot of alternative cloud database software options available from different suppliers of NoSQL and distributed SQL databases, and not all cloud DBMSs are supported by all cloud platforms.

DBaaS’s popular providers

AWS - There are eight main types of AWS Database as a Service, including relational and NoSQL databases:

  • Relational databases — includes AWS Aurora, Amazon RDS, and Amazon Redshift. These databases are used to support traditional applications, eCommerce, ERP applications, and CRMs.
  • NoSQL database – includes DynamoDB (key-value DB), Amazon DocumentDB, Amazon Neptune (graph DB) and others. 

Azure – Microsoft Azure provides a variety of managed database services to meet the needs of clients' application stacks. The most popular choices include Azure SQL Database, Azure Cosmos DB, Azure DB for MySQL, and Table Storage.

GCP – The most popular service for relational DBs is Cloud SQL: A fully managed relational DBaaS that provides virtual databases for MySQL, PostgreSQL, MSSQL. For NoSQL DB, GCP offers Cloud BigTable (wide column DB) and Cloud Firestore (Document DB).

In the last few years there has been a growth in the number of DBaaS companies that use their services on the main cloud providers (AWS, Azure, GCP). These DBaaS companies include (among others) MongoDB Atlas (document DB), CockroachDB (relational DB) and Scylla Cloud (NoSQL DB).

Cloud data security posture management

Drive secure & compliant data growth

Get a Free Risk Assesment