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What is Thriftly?

Modern software solutions increasingly depend on web services and remote APIs, and Thriftly streamlines the creation of these essential components. For software developers looking to evolve their conventional Windows applications into a Software as a Service (SaaS) model, Thriftly significantly shortens the transition period. The platform empowers users to break down their monolithic applications into a collection of services without requiring any protocol-specific coding or data transformation management. You can create a service as effortlessly as writing a function in one of the supported programming languages, and subsequently, you can securely expose these services via an API. Furthermore, Thriftly’s user-friendly interface and efficient workflows allow developers to prioritize innovation over complexity, making the development process more enjoyable. By leveraging Thriftly, teams can not only enhance productivity but also respond more adeptly to market demands and user feedback.

What is Gilhari?

Gilhari is a microservice framework that facilitates the persistence of JSON objects within a relational database environment. Available as a Docker image, this framework can be tailored to suit the specific object or relational model of any application. Gilhari offers a REST (Representational State Transfer) interface for its APIs, enabling users to execute CRUD (Create, Retrieve, Update, Delete) operations on JSON objects that are unique to their applications. Some notable features of Gilhari include: * A metadata-driven approach that is independent of object models and agnostic to databases * Simple customization and configuration options for your JSON object models * The ability to map JSON attributes directly to table columns, which enhances querying capabilities and performance * Support for intricate object modeling, including one-to-many, many-to-one, and many-to-many relationships * The framework eliminates the need for writing any code to manage REST APIs (POST/GET, PUT/DELETE), facilitate data exchange (CRUD), or establish database schemas, streamlining development processes. This allows developers to focus on building their applications without getting bogged down by backend complexities.

Media

Media

No images available

Integrations Supported

Docker

Integrations Supported

Docker

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Mertech Data Systems

Date Founded

1997

Company Location

United States

Company Website

www.mertech.com

Company Facts

Organization Name

Software Tree

Date Founded

1997

Company Location

United States

Company Website

www.softwaretree.com

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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