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Data Orchestration Platform

Industrial Enterprise Management

Solution Group

Industry

Manufacturing

PoC Duration

Iotellect Match

3-24 days
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AI powered Low Code IoT/IIoT Platform

Enable umbrella orchestration of networks, applications and services in order to see and optimize the flow of data across the IT infrastructure, improving efficiency, scalability, and data quality. Enable seamless integration between platforms, real-time processing, and better process management, while reducing manual intervention and costs. Ensure data consistency, track lineage for compliance, and enhance security. Offer flexible incident, change, and situation management for hybrid and multi-cloud environments, simplify complex workflows, and provide resilience through automated failover and error handling.

Iotellect is a low-code platform for building custom data orchestration solutions that connect and coordinate data across applications, databases, APIs, data pipelines, cloud services, and IT infrastructure. It enables teams to design automated workflows, manage dependencies and triggers, monitor data flows in real time, and integrate heterogeneous systems in one environment. Built-in analytics, visualization, and automation help organizations improve data quality, reduce manual operations, and manage complex hybrid and multi-cloud data workflows.

Build Your IoT Application

Connect Your

IT Infrastructure and Data Sources

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Servers
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Edge computing devices
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Network equipment
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Storage systems
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Distributed file systems
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Databases
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Middleware and data pipelines
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Event streaming platforms
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Enterprise applications
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Data integration and ETL tools
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Data lakes and warehouses
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Orchestration control planes
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Data APIs
Connect Devices

Connectivity & Management

  • Utilization for APIs (REST, SOAP, GraphQL) to connect to external applications, third-party services, and custom tools
  • Support for multi-cloud environments, allowing data to move seamlessly between different cloud providers and hybrid setups with on-premises systems
  • Provision for load balancers to distribute traffic evenly across multiple instances, ensuring high availability
  • Support for a wide range of data formats such as JSON, XML, CSV, Parquet, and AVRO to work across different systems without needing heavy data transformations
  • Defining of task dependencies, triggers, and schedules (e.g., cron jobs) to automate complex workflows
  • Triggering of events such as data arrival, system logs, or application actions, allowing automated and dynamic responses to real-time conditions
  • Execution of multiple tasks or workflows in parallel, improving processing speed and reducing latency
  • Detailing of logs and audit trails, orchestration systems help ensure compliance with regulations like GDPR, HIPAA, and CCPA

Integration

  • Low code integration with Business Intelligence (BI) tools
  • Low code integration with DevOps and CI/CD tools
  • Low code integration with data lakes and data warehouses
  • Low code integration with big data processing engines
  • Low code integration with ETL and data integration tools
  • Low code integration with security and compliance tools

Analytics

  • Feature to allow extraction of raw data from different sources, transform it to match analytics requirements, and load it into data warehouses, lakes, or analytics platforms
  • Provision for prescriptive analytics, offering recommendations or automating decisions based on patterns detected in the data
  • Tracking of data lineage, showing where data originated, how it has been transformed, and where it has been used
  • Assessment of changes in data sources, formats, or workflows, and their affects on downstream analytics, enabling better planning and risk management
  • Automatic detection of anomalies, such as outliers or unexpected changes in data quality
  • Setting of thresholds or KPIs (key performance indicators) that trigger alerts when data falls outside the expected range, supporting proactive monitoring
  • Performance tracking of data pipelines, measuring metrics like processing time, latency, and resource usage
  • Support for storage of historical data, enabling long-term trend analysis, benchmarking, and the identification of patterns over time
  • Identification of trends, such as seasonality in sales data or shifts in customer behavior, allowing organizations to make data-driven forecasts
  • Analysis of resource utilization, helping users understand which workflows consume the most resources (compute, storage, bandwidth) and where optimizations can reduce costs

UI/UX

  • Provision for a visual interface to design workflows using a drag-and-drop system
  • Display of entire workflow as a visual diagram, which makes it easier to understand complex processes and identify task dependencies or bottlenecks
  • Viewing of data flows between different components of the pipeline, with visual indicators (e.g., arrows, color codes) showing successful or failed steps
  • Display of real-time updates on the status of running workflows, showing which tasks are in progress, completed, or failed
  • Availability if execution logs through the UI, allowing users to troubleshoot failed or delayed workflows
  • Provision for calendar or timeline view, where users can see when workflows are scheduled to run, view historical runs, and modify future schedules with a simple point-and-click interface
  • Support for scheduling workflows using cron expressions directly within the UI, allowing for precise control over task timing

Key Features for Your
Data Orchestration System

Customers and Partners

  • System Integrators
  • Small or Medium Businesses
  • Original Device Manufacturers
  • Independent Software Vendors
  • Large Enterprises

Solution Users and Developers

  • Dedicated low code developers
  • System and service administrators
  • IT infrastructure managers
  • IT solution architects
  • Business analysts
Customer success team
Community
Online training

Assistance

Integrated Sea Port Supervision

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Related Case Studies

Integrated Sea Port Supervision
A unified data management system was built for Huelva Port in Spain using Iotellect's connectors and purpose-built agents.

Customer
Huelva Port
Country
Spain
Industry
Transportation and Logistic
Solution Type
Industrial Automation

Common Questions

What is a data orchestration platform?

A data orchestration platform coordinates the movement, processing, transformation, and integration of data across different systems and applications. It helps automate data workflows, manage dependencies, monitor pipelines, and deliver data to the systems that need it.

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