HiveMQ Enterprise
Data Lake Extension
This extension seamlessly integrates MQTT data with your Data Lake, unlocking the full potential of IoT data analytics and MLOps.
- Provider
- HiveMQ
- Category
- Data Integration
- License
- Commercial
- Version
- Bundles with HiveMQ
- Verified
- Yes
Overview
Data lakes are centralized repositories that allow organizations to store vast amounts of raw and processed data in their native format. This type of storage system can handle large volumes of structured, semi-structured, and unstructured data. The HiveMQ Enterprise Data Lake Extension makes it possible to:
- Forward MQTT messages directly to the data lake without the need for additional infrastructure.
- Supports any Data Lake infrastructure that is S3 or Azure Blob compatible - Databricks, Snowflake, etc.
- Convert MQTT messages into Parquet table rows with column mappings.
- Utilize HiveMQ Data Hub to weed out bad/invalid data and ensure data integrity and quality across your IoT deployment.
- Use mappings to store only the MQTT message elements needed. This helps optimize storage capacity and querying while saving unnecessary data storage costs.
HiveMQ Data Lake extension
The Data Lake Extension writes to popular object stores easily accessible from any data warehouse
Why HiveMQ and your Data Lake?
HiveMQ’s MQTT platform is the ideal choice for exploiting the investment in your data lake by combining IoT data with other data. Unlock the power of IoT with these key features:
Data Lake agnostic
Real-time analytics
Predictive analytics
Historical trend analysis
HiveMQ extensions
HiveMQ extensions are plugins that provide seamless integration with streaming services, databases, data warehouses, and security services. There is a Custom SDK to build tailored extensions for specific integration needs.
Scalability
Availability
Manageability
HiveMQ and Data Lake resources
Top recommended resources to help you unlock the power of IoT with your data lake.
Why the Data Foundation Matters for AI in Manufacturing
Unlock AI's full potential in manufacturing—from predictive maintenance to quality control—by starting with a strong data foundation. Learn why it matters.
A Practical Guide To Data Modelling for Asset Reliability Analytics
Discover a better way to model machine data for OEE, MTTR, and MTBF. Learn why traditional methods fail and how MQTT-based UNS enables real-time insights.
MQTT Data Visualization with Grafana
See how organizations can transform raw operational data streams into actionable dashboards by pairing MQTT with Grafana's visualization capabilities.
How Data Management is Essential for AI Success
Explore how effective data management is crucial for AI success in manufacturing. Learn to tackle challenges like data quality and governance with HiveMQ.
Seamlessly Integrate MQTT Data With Data Lakes
Discover how HiveMQ's Enterprise Data Lake Extension offers effortless MQTT data integration into leading data lakes, eliminating extra infrastructure needs.
Enhancing Data Quality in MQTT-Based IoT Data Pipelines
A webinar discussing MQTT data management with a focus on maximizing IoT data quality and integrity.