Software Alternatives, Accelerators & Startups

PostgreSQL VS MemSQL

Compare PostgreSQL VS MemSQL and see what are their differences

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.

MemSQL logo MemSQL

Database for real-time transactions and analytics.
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • MemSQL Landing page
    Landing page //
    2023-04-21

PostgreSQL features and specs

  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages of PostgreSQL

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

MemSQL features and specs

  • Performance
    MemSQL is designed for high performance, offering real-time analytics and fast query speeds. Its in-memory architecture significantly reduces latency.
  • Scalability
    MemSQL easily scales horizontally across multiple nodes, allowing it to handle large datasets and high throughput demands.
  • SQL Compatibility
    It offers full ANSI SQL support, allowing users to leverage their existing SQL skills and tools for database operations.
  • Operational Simplicity
    MemSQL provides features like automated backups, updates, and scaling, simplifying database administration.
  • Hybrid Storage
    Combines in-memory row storage and disk-based column storage to provide flexibility for different use cases, balancing speed and cost-effectiveness.

Possible disadvantages of MemSQL

  • Cost
    MemSQL can be expensive, particularly for startups or small businesses, due to its commercial licensing and potential need for high-end hardware.
  • Complexity
    While operational simplicity is a goal, the initial setup and configuration of MemSQL can be complex and may require specialized knowledge.
  • Hardware Requirements
    Optimal performance often requires high-end, memory-rich hardware, which can be a barrier for organizations with limited budget.
  • Community and Ecosystem
    Compared to more established databases like MySQL or PostgreSQL, MemSQL has a smaller community and fewer third-party tools or integrations.
  • Proprietary Nature
    Being a commercial solution, MemSQL does not have the same level of transparency or community-driven development as open-source databases.

Analysis of PostgreSQL

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

Analysis of MemSQL

Overall verdict

  • Overall, MemSQL (SingleStore) is considered a strong choice for organizations seeking a unified database solution that supports both OLTP and OLAP workloads with exceptional speed and scalability.

Why this product is good

  • MemSQL, now known as SingleStore, is recognized for its high performance and scalability in handling both transactional and analytical workloads. It combines in-memory row storage and on-disk column storage into a unified database engine, providing versatility in dealing with various data-intensive tasks. The solution is highly regarded for its speed, real-time data processing capabilities, and ability to handle large volumes of data efficiently.

Recommended for

  • Enterprises requiring real-time analytics and fast data processing capabilities.
  • Organizations looking for a hybrid approach that combines transactions and analytics in one platform.
  • Companies with high-volume data workloads needing a scalable database solution.
  • Development teams seeking seamless integration with various data sources and tools.

PostgreSQL videos

Comparison of PostgreSQL and MongoDB

More videos:

  • Review - PostgreSQL Review
  • Review - MySQL vs PostgreSQL - Why you shouldn't use MySQL

MemSQL videos

MemSQL Architecture Overview and Product Demo

More videos:

  • Review - memsql server headphones unboxing and review.
  • Review - MemSQL Co-Founders on Real-Time Data Warehousing

Category Popularity

0-100% (relative to PostgreSQL and MemSQL)
Databases
87 87%
13% 13
Relational Databases
86 86%
14% 14
Tool
84 84%
16% 16
NoSQL Databases
83 83%
17% 17

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PostgreSQL and MemSQL

PostgreSQL Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Choosing the right database management system (DBMS) is a crucial decision that directly impacts your projectโ€™s performance and scalability. With a variety of options โ€” SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, and more โ€” each offering unique features and capabilities, itโ€™s important to carefully match the type of database software to your specific needs. Consider...
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Yes, several tools, such as MySQL, PostgreSQL, and MongoDB, offer free versions. While these are robust, enterprise editions or add-ons may come with additional costs for advanced features and support.
Source: infomineo.com
Data Warehouse Tools
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqanโ€™s platform provides a user-friendly environment for data exploration, transformation with Magical SQL, and visualization capabilities, all without needing to switch between multiple tools.
Source: peliqan.io
Top 5 BigQuery Alternatives: A Challenge of Complexity
For over three decades, the open-source object-relational database system PostgreSQL has maintained its reputation as a top SQL server due to its features, performance, and reliability. (Heck, Redshift is even based on Postgres!) It's the go-to database solution for large corporations and organizations across a variety of industries from ecommerce to gaming to...
Source: blog.panoply.io
10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com

MemSQL Reviews

We have no reviews of MemSQL yet.
Be the first one to post

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PostgreSQL mentions (19)

  • Create an API - Project Setup
    In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 4 months ago
  • PostgreSQL vs MySQL 2026: Which Database Wins for Modern Apps?
    PostgreSQL 17 Performance Guide โ€” Official docs for the latest performance improvements. - Source: dev.to / 4 months ago
  • #5 - 'The Power of [Separation] Compels You!'
    You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 10 months ago
  • Convert insert mutation to upsert
    In this quick post, weโ€™ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
  • Perfect Elixir: Environment Setup
    Iโ€™m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
View more

MemSQL mentions (0)

We have not tracked any mentions of MemSQL yet. Tracking of MemSQL recommendations started around Mar 2021.

What are some alternatives?

When comparing PostgreSQL and MemSQL, you can also consider the following products

MySQL - The world's most popular open source database

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

SQLite - SQLite Home Page

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.