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PostgreSQL VS Rakam

Compare PostgreSQL VS Rakam and see what are their differences

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PostgreSQL logo PostgreSQL

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

Rakam logo Rakam

Custom analytics platform
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • Rakam Landing page
    Landing page //
    2022-01-21

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.

Rakam features and specs

  • Customizability
    Rakam allows for extensive customization of analytics and dashboards, making it adaptable to a wide range of use cases and industries.
  • Scalability
    The platform can handle large volumes of data, making it suitable for enterprises as well as growing startups.
  • Real-time Analysis
    Rakam supports real-time data analytics, enabling businesses to make informed decisions quickly based on the latest data.
  • Integration
    It integrates well with other data sources and tools, allowing users to create a cohesive analytics ecosystem.
  • User-friendly Interface
    The platform provides an intuitive and easy-to-use interface, which helps users with varying levels of technical expertise to navigate and utilize its features effectively.

Possible disadvantages of Rakam

  • Cost
    For small businesses or startups with limited budgets, the cost of using Rakam might be a significant consideration.
  • Learning Curve
    While the interface is user-friendly, the extensive customization options available may require a time investment to fully understand and utilize.
  • Limited Pre-built Templates
    Rakam has fewer pre-built templates compared to some other analytics platforms, potentially requiring more initial setup time for new users.
  • Customer Support
    Some users have reported that customer support response times and the level of available assistance can be inconsistent.
  • Complexity for Basic Users
    The platform's advanced features and customization options might be overwhelming for users looking for basic analytics solutions.

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 Rakam

Overall verdict

  • Rakam is a good solution for companies looking for an efficient and scalable analytics platform. It offers a range of features that can meet the needs of small to large enterprises, providing valuable insights through its customizable dashboards and reports.

Why this product is good

  • Rakam is a comprehensive analytics platform that offers powerful features for data analysis, business intelligence, and custom reporting. It provides a flexible and scalable infrastructure that allows businesses to collect and analyze data in real-time, helping them make informed decisions. The platform is designed to be user-friendly with support for different data sources, making it suitable for teams without extensive technical expertise.

Recommended for

    Rakam is particularly recommended for startups, small to medium-sized businesses, and any organization that requires a robust yet easy-to-use analytics platform. It is also suitable for teams that need to integrate multiple data sources and are looking for an alternative to more complex or expensive analytics solutions.

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

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

Rakam videos

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Category Popularity

0-100% (relative to PostgreSQL and Rakam)

PostgreSQL

Rakam

Databases
100 100%
Databases
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

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 Rakam

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 project’s performance and scalability. With a variety of options — SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, and more — each offering unique features and capabilities, it’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, Peliqan’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

Rakam Reviews

We have no reviews of Rakam yet.
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Social recommendations and mentions

Based on our record, PostgreSQL seems to be a lot more popular than Rakam. While we know about 19 links to PostgreSQL, we've tracked only 1 mention of Rakam. 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 / 5 months ago
  • PostgreSQL vs MySQL 2026: Which Database Wins for Modern Apps?
    PostgreSQL 17 Performance Guide — Official docs for the latest performance improvements. - Source: dev.to / 6 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 / 12 months ago
  • Convert insert mutation to upsert
    In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
  • Perfect Elixir: Environment Setup
    I’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

Rakam mentions (1)

  • Show HN: Lightdash – An open source Looker alternative
    Well done! I was actually looking for an open source LookML a while back and found Rakam[0]. It seems they added the dbt layer after the fact while you started with that concept. Product looks slick, good luck? By the way, what happened with Hubble? 0 - https://rakam.io/. - Source: Hacker News / over 5 years ago

What are some alternatives?

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

MySQL - The world's most popular open source database

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

SQLite - SQLite Home Page

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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