Data Orchestration

Solution Group

Industry

Industrial Enterprise Management
Manufacturing

PoC Duration

Iotellect Match

3-24 days
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 IT/OT and IoT solution development platform. It helps you to monetize your network or IT infrastructure operations knowledge by dramatically lowering labor costs and cutting launch time for your product, service, or solution. It allows business-oriented IT professionals to join the development process by converting their information technology industry knowledge directly into product features and specific value delivered to your internal or market customers.

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
  • 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

Connectivity and Management

  • 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

Integration

  • 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

Analytics

  • 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

UI/UX

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

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Start building your IoT app or service by creating a new Application, or continue an already existing project

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Keep an eye on Server health and analyze its performance with the Monitoring dashboard

Find detailed tutorials on using the Platform and answers to a wide variety of questions in the Knowledge Base

Get inspiration from the practical examples found in the IoT business case Demos

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Create and manage resources, set up the deployment environment, and configure the application from a single dashboard

Access the properties, configurations and countless features of every resource used in your current project from the Application Resources tree

Try the Tutorial on how to create a simple IoT application to understand the basics of building a functional IoT solution with Iotellect

Access the properties, configurations, and countless features of every resource in your Iotellect Server from the System Tree

Configure and control every aspect of your Iotellect Server and manage its users with Administration tools

Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

Home Screen

Quickly access everything you need, whether starting a new session on the Platform or continuing from where you left off

Development

Build IoT applications of any complexity with ease in a simple, yet powerful, dedicated workspace

Administration

Manage and monitor your Iotellect Server instance, its users and all created resources

improve your business with a perfectly self-tailored

or win more clients with a new

market product

in-house service

Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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