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What is ent?

Presenting a Go entity framework designed to be a powerful yet uncomplicated ORM, ideal for effectively modeling and querying data. This framework provides a streamlined API that enables developers to effortlessly represent any database schema as Go objects. With its capabilities to run queries, conduct aggregations, and traverse intricate graph structures with ease, it distinguishes itself through an intuitive user experience. The API is entirely statically typed and includes a clear interface generated through code, promoting both clarity and dependability. The latest version of the Ent framework brings forth a type-safe API that allows for ordering based on both fields and edges, with intentions to soon integrate this functionality into its GraphQL features. Furthermore, users can swiftly create an Entity Relationship Diagram (ERD) of their Ent schema using a single command, which greatly aids in visualization efforts. The framework also streamlines the addition of functionalities like logging, tracing, caching, and soft deletion, all manageable within just 20 lines of code. Additionally, Ent seamlessly integrates GraphQL using the 99designs/gqlgen library, providing a range of integration possibilities. It simplifies the creation of a GraphQL schema for nodes and edges defined within the Ent schema, while also tackling the N+1 problem through effective field collection, thereby removing the necessity for complicated data loaders. This impressive array of features not only enhances productivity but also establishes the Ent framework as an essential asset for developers utilizing Go in their projects. A strong focus on developer experience ensures that even newcomers can leverage its capabilities with minimal learning curve.

What is TopBraid?

Graphs serve as one of the most versatile formal data structures, enabling the clear mapping of different data formats while effectively depicting the explicit connections between items, thereby promoting the integration of new data points and the examination of their relationships. The semantics of the data are well-articulated, utilizing formal techniques for both inference and validation. Acting as a self-descriptive data model, knowledge graphs not only facilitate data validation but also yield valuable insights concerning necessary modifications to meet data model standards. The importance of the data is inherently captured within the graph, often illustrated through ontologies or semantic structures, enhancing their self-descriptive quality. Knowledge graphs are specifically equipped to manage a diverse array of data and metadata, evolving and adapting over time similar to living entities. This characteristic makes them particularly effective for navigating and interpreting complex datasets in ever-changing environments. Ultimately, the dynamic nature of knowledge graphs underscores their critical role in modern data management strategies.

Media

Media

Integrations Supported

Docker
Go
GraphQL
Homebrew
MariaDB
MySQL
PostgreSQL
SQLite

Integrations Supported

Docker
Go
GraphQL
Homebrew
MariaDB
MySQL
PostgreSQL
SQLite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ent

Company Location

United States

Company Website

entgo.io

Company Facts

Organization Name

TopQuadrant

Company Location

United States

Company Website

www.topquadrant.com

Categories and Features

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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