Software Alternatives, Accelerators & Startups

Navicat Data Modeler VS Syndigo

Compare Navicat Data Modeler VS Syndigo and see what are their differences

Navicat Data Modeler logo Navicat Data Modeler

Navicat Data Modeler allows users to create a conceptual model from an existing database and edit the structure of the database easily.

Syndigo logo Syndigo

Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
  • Navicat Data Modeler Landing page
    Landing page //
    2023-10-02
  • Syndigo Landing page
    Landing page //
    2023-08-27

Navicat Data Modeler videos

How to create model from an existing database using Navicat Data Modeler? (Windows)

More videos:

  • Tutorial - How to create model from an existing database using Navicat Data Modeler? (Windows)

Syndigo videos

Syndigo Content Experience Hub

More videos:

  • Review - Syndigo GDSN Overview
  • Review - Syndigo: A platform for greater transparency

Category Popularity

0-100% (relative to Navicat Data Modeler and Syndigo)
Databases
100 100%
0% 0
Development
10 10%
90% 90
Database Management
100 100%
0% 0
Online Services
0 0%
100% 100

User comments

Share your experience with using Navicat Data Modeler and Syndigo. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Navicat Data Modeler and Syndigo, you can also consider the following products

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.

Qrvey - Embedded Analytics built exclusively for SaaS applications.

DBeaver - DBeaver - Universal Database Manager and SQL Client.

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

Vertabelo - Online tool for visual database design.

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.