Documentation

Data Ingestion Overview

Learn how to efficiently collect, validate, and store data from your IoT devices and sensors using CivIoT's robust data ingestion platform.

Overview

Data ingestion is the foundation of any IoT platform. CivIoT provides multiple methods to collect data from your devices, whether they're connected via cellular networks, satellite links, or local networks. Our platform handles data validation, transformation, and storage automatically, ensuring your data is always accurate and accessible.

Support for industry-standard protocols like Modbus, MQTT, HTTP, and custom APIs means you can connect virtually any device without complex integration work.

Data Ingestion Methods

HTTP/REST API
Send data via HTTP POST requests to our REST API endpoints. Perfect for web applications and custom integrations.

• JSON payload support

• Authentication via API keys

• Rate limiting and quotas

MQTT Protocol
Lightweight messaging protocol ideal for resource-constrained devices and real-time data streaming.

• QoS levels 0, 1, 2

• TLS encryption support

• Topic-based routing

FTP Upload
Bulk data import via CSV, JSON, or Excel files. Ideal for historical data migration and batch processing.

• Multiple format support

• Data validation

• Progress tracking

Custom API
Build custom integrations and data pipelines for complex workflows and specialized requirements.

• Custom endpoints

• Flexible data formats

• Advanced processing

Webhook Integration
Receive data automatically when external systems trigger events or complete processes.

• Custom endpoints

• Retry logic

• Event filtering

Database Connectors
Direct connections to existing databases for seamless data migration and synchronization.

• PostgreSQL, MySQL, SQL Server

• Scheduled sync

• Incremental updates

Data Processing Pipeline

1. Ingestion

Data received via various protocols and methods

2. Validation

Data quality checks and format validation

3. Transformation

Data normalization and enrichment

4. Storage

Optimized storage with indexing

Key Features

Real-time Processing
Process incoming data streams in real-time with sub-second latency. Support for millions of data points per second.
Data Validation
Built-in validation rules, range checking, and anomaly detection to ensure data quality and reliability.
Scalable Architecture
Auto-scaling infrastructure that handles data volume growth without performance degradation.
Security & Compliance
End-to-end encryption, role-based access control, and compliance with industry standards.

Best Practices

Implement Proper Error Handling

Always include error handling in your data ingestion scripts to gracefully handle failures and retry logic.

Use Appropriate Data Types

Map your data to the correct field types to ensure optimal storage and query performance.

Implement Rate Limiting

Respect API rate limits and implement exponential backoff for retry attempts.

Monitor Data Quality

Set up alerts for data quality issues and monitor ingestion metrics regularly.

Getting Started

Ready to start ingesting data?

Begin with our quick start guides or explore specific integration documentation to connect your devices.

View Integrations →API Reference

Need Help?

If you encounter any issues with data ingestion or need assistance setting up your integrations, our support team is here to help.

Contact Support