Software Alternatives, Accelerators & Startups

Akeneo VS PostgreSQL

Compare Akeneo VS PostgreSQL and see what are their differences

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.

Akeneo logo Akeneo

Akeneo is an open-source Product Information Management solution.

PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.
  • Akeneo Landing page
    Landing page //
    2023-09-24
  • PostgreSQL Landing page
    Landing page //
    2023-10-21

Akeneo

Website
akeneo.com
Pricing URL
-
$ Details
Release Date
2012 January
Startup details
Country
France
City
Nantes
Founder(s)
Benoit Jacquemont
Employees
50 - 99

Akeneo features and specs

  • User-Friendly Interface
    Akeneo offers an intuitive and easy-to-navigate user interface, which makes it accessible for users of all technical skill levels. This reduces the learning curve and enhances productivity.
  • Open Source Availability
    Akeneo provides a Community Edition that is open-source, allowing businesses to freely access and customize the platform to meet specific needs without initial licensing costs.
  • Flexibility and Customization
    Akeneo is highly customizable and flexible, allowing businesses to tailor the solution to their unique product management processes. This includes custom attribute creation and workflow management.
  • Strong Integration Capabilities
    Akeneo can be easily integrated with various other systems such as ERP, CMS, and eCommerce platforms, ensuring seamless data synchronization across different channels.
  • Multi-Channel Support
    The platform supports multi-channel retailing, enabling businesses to manage product information centrally and distribute it across multiple sales channels effortlessly.
  • Advanced Data Quality Management
    With robust data quality management features, Akeneo helps ensure that product information is accurate, complete, and consistent, which is critical for any business managing large amounts of product data.

Possible disadvantages of Akeneo

  • Cost of Enterprise Edition
    While the Community Edition is free, the Enterprise Edition, which includes additional features and support, can be relatively expensive for small to medium-sized businesses.
  • Complexity for Large Setups
    For very large enterprises, setting up and managing Akeneo can become complex. It may require significant time and technical expertise to fully leverage all its capabilities.
  • Performance Issues
    Some users have reported performance issues, particularly when handling very large datasets or heavy customization. This can impact the overall efficiency of data management processes.
  • Limited Out-of-the-Box Features
    Although Akeneo is highly customizable, its out-of-the-box feature set can be somewhat limited. Businesses might need to invest additional resources in custom development to fully meet their needs.
  • Dependency on Developers
    Customizing and extending Akeneo often requires developer input, which might make it less accessible for businesses without in-house technical expertise or the budget to hire external developers.
  • Steep Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the advanced features and customizations available in Akeneo can involve a steep learning curve for some users.

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 Akeneo

Overall verdict

  • Yes, Akeneo is generally considered a good PIM solution, especially for medium to large businesses that require robust product data management capabilities. It is praised for its open-source version, which allows for customization, and its enterprise edition offers advanced functionalities for larger organizations.

Why this product is good

  • Akeneo is a popular Product Information Management (PIM) solution known for its user-friendly interface, flexibility, and capability to handle large volumes of product data. It is designed to help businesses manage and optimize their product information across various channels, ensuring consistency and accuracy. Akeneo supports efficient collaboration among teams, provides advanced features like localization, attribute management, and facilitates seamless integration with other systems.

Recommended for

  • E-commerce businesses looking to streamline and optimize their product data management.
  • Companies that require efficient collaboration across teams to ensure product information is accurate and consistent.
  • Organizations needing to manage and adapt product information for multiple channels and markets.

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.

Akeneo videos

Pimcore, Akeneo Enterprise, Akeneo Community Edition comparison. MDM-PIM systems | kt.team

More videos:

  • Review - Product data management: Akeneo PIM review. | kt.team
  • Review - Akeneo Enterprise Edition Features - Validation Workflows

PostgreSQL videos

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 Akeneo and PostgreSQL)
Product Information Management
Databases
0 0%
100% 100
Product Management
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

Share your experience with using Akeneo and PostgreSQL. For example, how are they different and which one is better?
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Reviews

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

Akeneo Reviews

List Of Top 9 Product Information Management (PIM) Software Solution To Integrate Your Product Data
Akeneo offers a powerful and adaptable Product Information Management solution. Akeneo PIM provides robust features and capabilities to manage product data and create better experiences for customers.

PostgreSQL Reviews

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
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
9 Best MongoDB alternatives in 2019
PostgreSQL is a widely popular open source database management system. It provides support for both SQL for relational and JSON for non-relational queries.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, PostgreSQL seems to be more popular. It has been mentiond 16 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.

Akeneo mentions (0)

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

PostgreSQL mentions (16)

  • 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 / 9 months 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 / about 1 year ago
  • Rust & MySQL: connect, execute SQL statements and stored procs using crate sqlx.
    According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / over 1 year ago
  • Really tired. Is PostgreSQL even runnable in Windows 10? pgAdmin4 stucks at Loading whatever I try.
    Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: almost 2 years ago
  • Why SQL is right for Infrastructure Management
    SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 2 years ago
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What are some alternatives?

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

Pimcore - Pimcore is an award-winning data management and customer experience management software.

MySQL - The world's most popular open source database

inRiver - inRiver offers product information management solutions helping B2C and B2B multi-channel commerce tell perfect stories across channels.

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.

Plytix - Plytix empowers small ecommerce teams to optimize, distribute, and analyze product data and content from one easy to use cloud platform.

SQLite - SQLite Home Page