10 Best Postgres Alternatives That You Can Use in 2023

Updated On July 17, 2023 | by Joseph Williams

10 Best Postgres Alternatives That

PostgreSQL, also known as Postgres, is a widely used open-source database management system. 

It is highly regarded for its ability to handle both structured and unstructured data and integrates well with various applications and services. With its robust features and complexity, PostgreSQL is particularly suited for large-scale business applications.

There are so many users who prefer to support Postgres over MySQL due to the many edges it provides. Still, it was developed for over 30 years and is known for its stability, consistent features, and high performance till present. It supports SQL and can handle diverse workloads effectively. But, it still might not be suitable for every use case. So, In this article, we’ll discuss the 10 best Postgres alternatives. 

Apache Cassandra

Apache Cassandra is a user-friendly and open-source NoSQL system designed for replication across info. centers and cloud environments. It ensures fault tolerance through information duplication across nodes.

Originally developed for Facebook, Cassandra is easily deployed on multiple servers, with each node functioning independently. Key features include being a NoSQL database, scalability, and high availability.


Amazon Redshift is a cloud-based data warehousing solution by AWS for large-scale analytics workloads. It utilizes columnar storage for efficient information retrieval and compression. 

Redshift employs Massive Parallel Processing (MPP) for faster query response times on big datasets. It seamlessly integrates with AWS services like EMR, S3, and Kinesis. With SQL compatibility and cost-effective pricing, Redshift is an ideal choice for data warehousing. Luckily, if you’re migrating information from Postgres to Redshift, it only takes a few simple steps, and you’re done — making it ideal if you’re looking to switch to a data warehouse in the cloud.


MySQL, an open-source relational and embedded database owned by Oracle, is extensively utilized in eCommerce, data storage, and web database management. Running as a server-based web application, MySQL excels in handling vast amounts of data for diverse applications. 

Its scalability, speed, and popularity have fostered a thriving ecosystem of third-party development support.


CouchDB is a document-oriented database system suitable for both standalone programming and integration with high-volume distributed applications, particularly online platforms handling large amounts of loosely structured data. 

It stores data in JSON format for durability and security, utilizing sessions and authentication. However, users have expressed discontent with the user interface and the lack of comprehensive search functionality.


CockroachDB is an ideal choice for developing, scaling, and overseeing modern data-centric systems. Built on Google’s Spanner, it offers a user-friendly SQL interface for cloud applications. 

Its standout feature is a distributed SQL system supporting ACID transactions. CockroachDB excels in containerized, multi-region, and multi-datacenter deployments.

It is highly suitable for building applications that demand high availability, reliability, data integrity, and fast response times.


RethinkDB could be an excellent option if you’re wanting to create real-time apps. It’s significant to remember that the business stopped providing updates in 2016. RethinkDB is a database management system that is free and open-source that offers a complete answer for data management, search, and analytics in online applications.

It leverages Rethink’s framework, offering features like database scaling, platform hosting, task management, and analytics.


InfluxDB, developed by InfluxData, is a time series database designed to offer real-time visibility into stacks, sensors, and systems. It serves as an observability solution and is available in open-source form, as a DBaaS option in the Cloud, or through an Enterprise subscription. InfluxDB enables efficient storage and retrieval of time-stamped information for monitoring and analysis purposes.


MongoDB is a flexible document-oriented database that eliminates concerns about fixed data structures. With MongoDB, records can be easily modified by adding or removing fields. 

The Store Arrays feature simplifies managing hierarchical relationships and complex data structures. It stores structured information as JSON-like documents with dynamic schemas, enabling smooth information integration in diverse applications.


MariaDB extends its capabilities from standalone databases and data warehouses to fully distributed SQL, enabling high transaction processing rates and dynamic ad hoc analytics on large datasets. 

It offers flexibility in deployment, allowing installation on commodity hardware, major public clouds, and MariaDB SkySQL DBaaS. By leveraging MariaDB, businesses can break free from the constraints and complexities of proprietary databases, focusing on delivering innovative customer-facing applications efficiently.


RavenDB, a database management system, simplifies development and accelerates deployment by eliminating the need for third-party extensions or support. It allows the creation and securement of information clusters in the cloud, on-premise, or in hybrid setups.

With its Database as a Service platform, RavenDB enables users to delegate database tasks, boosting developer productivity and facilitating swift idea execution.

What to Consider When Choosing a Database

  1. Data Type: Take into account the specific type and characteristics of the data you plan to store.
  1. Scalability: Assess the database’s ability to scale and handle future growth effectively.
  1. Performance: Evaluate the database’s performance and speed to meet your application’s needs.
  1. Security: Give priority to robust security measures for safeguarding your data.
  1. Support: Consider the level of support available for the chosen database.
  1. Cost and Licensing: Take into consideration the licensing and cost aspects of the database solution.


In conclusion, various alternatives to PostgreSQL cater to different needs and scenarios. From NoSQL systems like Apache Cassandra to cloud-based solutions like Amazon Redshift, businesses have a wide range of options to choose from based on scalability, performance, and cost considerations.

Related Post