Software Alternatives, Accelerators & Startups
Register | Login

Atlan VS PostgreSQL

Compare Atlan VS PostgreSQL and see what are their differences

Proton Drive for Business
End-to-end encrypted cloud storage built for teams. Keep all your business data private, fully secure, and under your complete control. No backdoors, no tracking, no compromises. Swiss privacy laws and zero-knowledge encryption protect what matters. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Atlan logo Atlan

Atlan is an advanced data workspace developed to offer benefits to many different sources of data.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Atlan Landing page
    Landing page //
    2023-08-23
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Atlan

Website
atlan.com
Pricing URL
-
$ Details
-
Release Date
2018 January
Startup details
Country
Singapore
State
Central Region
City
Singapore
Founder(s)
Prukalpa Sankar
Employees
50 - 99
Edit details

PostgreSQL

Website
postgresql.org
Pricing URL
Official PostgreSQL Pricing
$ Details
Release Date
-
Startup details
Country
United States
Edit details

Atlan features and specs

  • Collaboration
    Atlan provides a collaborative platform for data teams, allowing users to manage and share data assets, which can enhance teamwork and productivity.
  • Integration
    The tool integrates with a variety of data sources and services, enabling users to easily connect and manage diverse data assets in one place.
  • User-Friendly Interface
    Atlan features an intuitive and user-friendly interface, making it accessible to users of varying technical skills, from data engineers to business analysts.
  • Data Governance
    Atlan offers robust data governance features, such as lineage and metadata management, which help organizations maintain data quality and compliance.
  • Automation
    The platform allows for automation of repetitive tasks, which can save time and reduce errors in data management processes.

Possible disadvantages of Atlan

  • Complexity for Small Teams
    While feature-rich, Atlan might be too complex for smaller teams or projects that do not require comprehensive data management capabilities.
  • Cost
    Atlan's pricing may be a concern for smaller organizations or startups, as advanced features can come at a significant cost.
  • Customization Limitations
    Some users might find the customization options limited compared to other data management platforms, which could impact specific use-case implementations.
  • Learning Curve
    New users may experience a steep learning curve when starting with Atlan due to the extensive range of features and capabilities it offers.

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.

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.

Atlan videos

+ Add

3-Minute Atlan Demo

More videos:

  • Review - ATLAN SAFE OUTDOORS Tent Chair Blind Review Vs. AMERISTEP Tent Chair Blind (WHATS BETTER??)
  • Review - Atlan: Leveraging Founder-market Fit to Build a Global SaaS Brand

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

More videos:

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

Category Popularity

0-100% (relative to Atlan and PostgreSQL)

Atlan

PostgreSQL

Business & Commerce
100 100%
Business & Commerce
0% 0
Databases
0 0%
Databases
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using Atlan and PostgreSQL. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Atlan Reviews

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

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

Social recommendations and mentions

Based on our record, PostgreSQL should be more popular than Atlan. 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.

Atlan mentions (2)

  • Thoughts around decube.io (data observability and catalog platform)
    After evaluating few solutions in the market: We were in the market to hunt for a solution which will cost under 10k (yearly) considering the cost of opensource will be similar considering DE resource and maintenance cost etc 1. MonteCarlo - Super duper expensive - Unable to hosting in Google Cloud 2. BigEye - Good features 3. Metaplane - Overall good package but when compared to catalog and other features it... Source: over 3 years ago
  • Data lake observability
    I've previously built data lakes on AWS with Glue and you get the data catalog for free but it isn't convenient to explore. Enterprise-grade data catalogs such as Alation are full featured and really decent but come at a higher cost. If your preference is open source, check out Atlan and Amundsen. Source: over 3 years ago

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

What are some alternatives?

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

Minitab Connect - Minitab Connect is a data management platform that comes with cloud-based data and integration workflows having data governance and integration tools.

MySQL - The world's most popular open source database

Microsoft Azure Purview - Microsoft Azure Purview is a unified data governance solution that provides capabilities that cover the entire lifecycle from ingestion to cleansing, transformation, and security.

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.

Kylo - Kylo is an end-to-end data lake management software that provides data from many sources in an automated fashion and optimizes it.

SQLite - SQLite Home Page

Loading...