HiveMQ, a provider of enterprise MQTT solutions, announced HiveMQ Data Hub, an integrated policy engine within the HiveMQ broker designed to enforce data integrity and quality. The new offering helps to detect and manage distributed data and misbehaving MQTT clients with the ability to validate, standardize, and manipulate data in motion.
Connected IoT devices provide dynamic, diverse data used to glean insights that drive businesses forward. IoT teams are writing separate code for connected devices, validating data across multiple applications which diminishes its quality, and wasting money to store bad data. HiveMQ Data Hub allows organizations to ensure a high standard of data integrity and quality, increasing operational efficiency and reducing costs.
HiveMQ Data Hub is available now and provides the following capabilities:
Create a schema policy in JSON or Protobuf formats
Define policy actions for data that fails validation
Store schema registries locally for faster access and data processing in a single system
Define behavioral policies to determine how devices work with the broker and log bad actors
Visualize the data in tools like Grafana with an API
HiveMQ Data Hub’s policy engine allows users to script policies and transform data into the right format as it moves through the broker. Creating and defining schema policies for validation and transformation enables users to add context and quality control to data to ensure consistency for reporting and analytics.