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Sign inIoT, Telematics, and Streaming Data Integration
Connect and process real-time data from sensors, vehicles, and devices. With Etlworks, stream telemetry and CDC data from MQTT, MongoDB, MySQL, and PostgreSQL into Snowflake or any destination—at scale.
Why it matters: Integrating streaming and telematics data is critical for industries that rely on real-time insights. Etlworks enables scalable ingestion and transformation of IoT data, helping organizations make faster, smarter decisions.
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Why Etlworks
Stream in real time: Use CDC for low-latency streaming from MongoDB, MySQL, PostgreSQL, and more.
Connect to MQTT: Natively connect to MQTT brokers (v3.x and 5.x) to ingest IoT and sensor data continuously.
Transform and enrich on the fly: Apply rules and transformations during ingestion or as part of batch jobs.
Reliable at scale: Built-in error handling and retries ensure delivery of millions of events per hour.
Stream to any system: Load Snowflake, BigQuery, or operational systems in real time or near real time.
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How Telematics, IoT, and Streaming Data Companies Use Etlworks
Ambyint, a leader in AI-powered production optimization for oil and gas,
uses Etlworks to
stream real-time CDC data from MongoDB to Snowflake and ingest device data from MQTT
brokers. This setup
enables actionable insights from field data with minimal latency.
Read the case study
Spireon integrates real-time telematics data using Etlworks’ CDC connectors
for MongoDB and
MySQL, streaming data continuously into Snowflake. This powers time-sensitive insights
across connected vehicles.
Read the case study
Tourmo.ai relies on Etlworks to stream real-time data using CDC from MySQL
to Snowflake. They
also use batch ETL to move data from multiple MySQL sources into cloud destinations for
reporting and analytics.
Read the case study
Dayton Freight uses Etlworks to sync data across AS400, Kafka, APIs,
Salesforce, and more. Real-time CDC and ETL pipelines feed a data warehouse, enabling fast analytics,
reporting and improved logistics operations.
Read
the case study