Interlok™ logo

Interlok™

by Adaptris
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ActiveAvailable globallyCloudOn-premise
Quick facts
VendorAdaptris
Year launchedN/A
StatusActive
LocationQuadrant House The Quadrant Sutton Surrey SM2 5AS UK
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Interlok™

Interlok™ by Adaptris is a flexible integration framework designed to help organizations connect disparate systems across cloud and on-premise environments.

Interlok™ by Adaptris is a flexible integration framework designed to help organizations connect disparate systems across cloud and on-premise environments. It operates as an event-based integration engine that enables businesses to configure rather than code complex integrations, reducing the need for heavy custom development. The platform supports exposing and consuming APIs for legacy systems, making it useful for organizations dealing with older infrastructure that still needs to interact with modern applications. A key strength of Interlok™ is its modular architecture, which allows architects to implement standardized Enterprise Integration Patterns across different systems and communication protocols. It also supports real-time data capture and exchange, which is essential for organizations managing big data pipelines or requiring low-latency system interactions. Additionally, its ability to cache data improves performance when interacting with slower backend systems. Interlok™ is highly scalable and can be deployed in various runtime environments such as standalone Java and enterprise container systems. This makes it suitable for complex enterprise IT landscapes that require reliability, extensibility, and controlled change management across multiple integration points.

Pros & Cons

Pros
  • Supports scalable architecture suitable for both small deployments and large enterprises efficiently
  • Event driven design improves real time processing and responsiveness across connected systems
  • Modular structure allows flexible configuration and reuse of integration components across projects
  • Reduces system latency through built in caching for frequently accessed backend data calls
  • Works across multiple deployment environments including Java and enterprise container systems
Cons
  • Requires technical expertise to configure and manage integration flows effectively in production systems
  • Lacks clear native cloud SaaS marketplace for plug and play third party extensions or apps
  • No clearly defined out of box user interface for non technical business users to manage workflows
  • May involve complex setup when integrating highly heterogeneous legacy enterprise systems together
  • Primarily focused on enterprise use cases which may be over engineered for small organizations

Features

Key features

Multi-runtime deployment support

Runs in Java, OSGi, and enterprise container environments for flexibility

Horizontal and vertical scalability

Supports growing workloads across distributed enterprise environments

Modular architecture

Allows reusable integration components based on enterprise integration patterns

Data caching capability

Improves performance by reducing repeated calls to slow backend systems

Event-driven integration engine

Processes and routes data asynchronously for scalable system communication

Centralized change control

Simplifies management of integration changes across cloud and hybrid environments

Real-time data capture and streaming

Supports continuous data flow into big data systems and analytics platforms

Expose and consume APIs via configuration

Enables integration with legacy and modern applications without heavy coding

Additional features

Multi-protocol connectivity

Supports different communication and data exchange protocols

Integration workflow configuration

Allows definition of integration logic through configurable components

Container-based deployment

Runs in enterprise-grade environments and container platforms

Enterprise integration patterns support

Implements standard architectural patterns for system connectivity

Data caching system

Stores frequently accessed data to reduce latency and system load

Scalable architecture design

Handles increasing workloads through vertical and horizontal scaling

Cloud and hybrid integration management

Supports integration across on-premise and cloud systems

Big data pipeline integration

Feeds structured and unstructured data into analytics repositories

Real-time data exchange

Transfers data instantly between connected systems

Event-based processing framework

Handles integration tasks using asynchronous event triggers

Legacy system integration support

Enables older applications to communicate with modern platforms

API-based configuration integration

Connects systems using configuration instead of custom development

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD

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