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pgModeler VS Xplenty

Compare pgModeler VS Xplenty and see what are their differences

pgModeler

Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Rating
0 reviews
Pricing
Open source
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Alternatives Is it good?
Xplenty

Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

Rating
0 reviews
Pricing
Free trial
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Alternatives Is it good?
Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. sponsored
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.

Which is more popular?

Based on our record, pgModeler seems to be more popular. It has been mentioned 8 times since March 2021.

social mentions
8 vs 0
Databases popularity
100% vs 0%
alternatives listed
90 vs 199

Base details

Website, pricing, platforms and company facts side by side.

pgModeler
Xplenty
Website pgmodeler.io xplenty.com
Pricing
Open source
Free trial
Platforms —
Cloud Salesforce REST API
Company — Startup from Israel · 10 - 19 employees · 2012
Listed in
Data Modeling Databases Data Management Development +1
ETL Data Integration Monitoring Tools Cloud Infrastructure Web Service Automation Data Security And DLP +3

About pgModeler and Xplenty

In their own words, as submitted to SaaSHub.

pgModeler
Xplenty

No description of pgModeler yet.

Xplenty is a cloud-based ETL (extract, transform, load), ELT (extract, load, transform), and Reverse ETL data integration platform that easily unites multiple data sources. The Xplenty platform offers a simple, intuitive visual interface for building data pipelines between a large number of...

Read more about Xplenty

Features and specs

What each product offers, as listed by its team.

pgModeler 6 features
Xplenty 5 features
  • Cross-Platform Compatibility
    pgModeler is available for multiple operating systems, including Windows, macOS, and Linux, making it accessible to a wide range of users.
  • Open Source
    As an open-source tool, pgModeler allows users to review its source code, request features, or contribute to its development, fostering a collaborative environment.
  • PostgreSQL Specific
    pgModeler is designed specifically for PostgreSQL, offering features and optimizations that are closely aligned with the database's unique capabilities.
  • Intuitive Interface
    The software provides an intuitive graphical interface for designing and modeling databases, which helps to simplify complex database tasks.
  • Extensive Documentation
    pgModeler offers detailed documentation, tutorials, and user guides that help users understand and effectively use the tool.
  • Regular Updates
    The tool receives regular updates, ensuring that it remains up-to-date with the latest PostgreSQL features and industry standards.

Possible disadvantages

  • Learning Curve
    New users, especially those unfamiliar with PostgreSQL, may find pgModeler challenging to learn and use effectively at first.
  • Limited to PostgreSQL
    As pgModeler is designed specifically for PostgreSQL, it may not be suitable for users who need to work with other database management systems.
  • Performance Issues
    Some users have reported performance issues, particularly when working with large and complex database models.
  • Paid Version for Complete Features
    While pgModeler is open source, some advanced features and regular binary releases are only available in the paid version or via custom compilations.
  • Dependency on External Tools
    pgModeler might require additional external tools or libraries to fully utilize all its features, which could complicate the setup process.
  • UI/UX Limitations
    The user interface, while functional, might not be as polished or modern as some commercial database modeling tools.
  • Ease of Use
    Xplenty offers a user-friendly interface with a drag-and-drop feature that simplifies the process of data integration and transformation, making it accessible even for users with limited technical expertise.
  • Scalability
    Xplenty can handle large volumes of data and can scale according to your needs, ensuring performance remains consistent even as your data grows.
  • Integrations
    The platform supports a wide range of data sources and destinations, making it versatile for various data ecosystems. It seamlessly integrates with popular databases, cloud services, and data warehouses.
  • Support and Documentation
    Xplenty provides extensive documentation and customer support, including tutorials, webinars, and a responsive support team to assist you with any issues.
  • Customization
    Offers advanced features for custom transformations and workflows through scripting, allowing for greater flexibility in handling complex data integration tasks.

Possible disadvantages

  • Cost
    Xplenty can be expensive, particularly for small to mid-sized businesses. The pricing model is based on the number of connectors and data volume, which can add up quickly.
  • Learning Curve
    Although the interface is user-friendly, there may be a learning curve for new users to fully leverage the platform’s more advanced features and capabilities.
  • Performance
    Some users have reported performance issues, especially with large datasets, which can result in slower processing times compared to other ETL tools.
  • Limited Real-time Processing
    Xplenty is optimized for batch processing rather than real-time data integration, which may not be suitable for use cases requiring real-time data processing.
  • Dependence on Internet Connection
    As a cloud-based platform, Xplenty requires a stable internet connection. Any disruptions in connectivity can affect the ability to access and use the service.

Analysis

An editorial look at what each product does well and who it suits.

pgModeler
Xplenty

Overall verdict

  • Overall, pgModeler is a solid choice for those seeking a comprehensive and visually intuitive tool for PostgreSQL database design and management. Its open-source nature and feature-rich environment provide valuable resources for both beginner and advanced database designers.

Why this product is good

  • pgModeler is often considered a good tool because it offers a wide range of features for designing and modeling PostgreSQL databases. It allows users to create, edit, and delete database objects such as tables, functions, and schemas via a user-friendly interface. It also supports reverse engineering to generate models from existing databases, model validation to ensure database integrity, and has a range of export options. Furthermore, it is open-source, which makes it accessible for users who prefer or require customizable tools.

Recommended for

  • Database administrators managing PostgreSQL databases
  • Developers who need to design and model complex database schemas
  • Organizations looking for an open-source and cost-effective database modeling solution
  • Students or educators requiring a tool for learning or teaching database concepts

Overall verdict

  • Xplenty is a good option for businesses looking for a reliable and user-friendly data integration platform, especially if they require extensive support for cloud-based data sources and flexibility in integration processes. However, as with any tool, the effectiveness of Xplenty depends on the specific needs and resources of the organization.

Why this product is good

  • Xplenty is a cloud-based data integration platform designed to simplify the complex processes of data preparation, transformation, and integration. It offers a user-friendly interface and a wide range of pre-built connectors, making it accessible for users without deep technical expertise. The platform supports ETL (Extract, Transform, Load) processes and can handle large volumes of data efficiently.

Recommended for

    Small to medium-sized businesses, teams without extensive technical expertise in data engineering, organizations needing to integrate data from multiple sources quickly, and those looking for a scalable cloud-based ETL solution.

Videos

Walkthroughs and reviews on video.

pgModeler 1 video + Add
Xplenty 3 videos + Add

pgModeler 0.6.0-beta: Reverse engineering in action!

Xplenty - The Leading Data Integration Platform

More videos

  • - Create a Customer 360 View with Xplenty & Salesforce
  • - Xplenty Customer Story - CloudFactory

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
pgModeler
Xplenty
100% 100%
Databases
0% 0%
0% 0%
Data Integration
100% 100%
100% 100%
Data Modeling
0% 0%
0% 0%
ETL
100% 100%

User comments

Share your experience with using pgModeler and Xplenty. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

pgModeler no reviews yet
Xplenty no reviews yet
  • Top 9 Data Modeling Tools Every Team Needs
    www.devart.com · Jul 2025

    PgModeler (PostgreSQL Database Modeler) is an open-source data modeling tool specifically designed for PostgreSQL. It allows users to create, edit, and manage database structures through a visual interface, making it...

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

pgModeler 8 mentions
Xplenty 0 mentions
  • PostgreSQL IDE in VS Code
    I wonder how this compares to pgModeler (https://pgmodeler.io/) which I've been using the most in the recent years, would love is someone who had tried both could share some observations. - Source: Hacker News / over 1 year ago
  • Found a simple tool for database modeling: dbdiagram.io
    I usually go with the FOSS https://pgmodeler.io Its feature-rich, and its ability to compare database schemas makes updating and applying diffs much easier. - Source: Hacker News / over 1 year ago
  • Trek – An opinionated PostgreSQL Migration creator
    Co-creator of Trek here. Trek generated migration files based on the diff between a pgModeler(1) schema definition and existing migration files. Trek also helps deploying those migrations. I'd be happy to respond to any questions here :)... - Source: Hacker News / almost 3 years ago

View more

Tracking Xplenty since Mar 2021.

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