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Integration Power Compatible with All Your Systems with i-frame

Integration refers to making different systems interoperable. This is usually done through APIs, database connections, service calls or messaging protocols.

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The Difference Between Traditional Methods and i-frame

Previously, data was exchanged between systems by writing custom code, creating middleware layers and manually converting data formats. This process was time-consuming, error-prone and resulted in high maintenance costs.

How i-frame Transforms This Process ?

i-frame offers all its functions accessible via REST API. Thanks to the token-based authentication structure:

  • Secure data exchange is ensured,
  • Easily connected to existing systems,
  • Fast integration with external services

Empowering businesses with intelligent AI solutions

Ease of Use and Integration Capability

Feature Traditional Methods i-frame
API Management Manual code writing Automatic REST API definition, token security
Database Access One-way and fixed Multi-DBMS support, live connections
Web Service Usage Custom integration for each system Centralized web service integration
Security Manual authorization Role-based access + token/2FA support
GIS / IoT Integrated with external solutions Built-in as a direct platform component

Key Features

All modules are accessed via REST API.
Integrations with external systems can be done in an easy and standardized way.

Token generation and management supported.
Authorization controlled, secure data flow is possible

Compatible with systems such as MSSQL, Oracle, PostgreSQL.
Data management can be done internally by connecting to different data sources.

Reports can be generated from within the application with existing external system data.
Data can be analyzed without being taken into the system.

Information from different sources can be combined in a single data structure.
Bidirectional information flow is possible with internal and external services

Location data can be analyzed and queried on the map.
GIS based vector and raster data can be processed in the system.

Data received from IoT devices is read instantly by the system.
Data can be integrated into business processes and automatic decision mechanisms can be created.