Skip to content
Extension

HiveMQ Enterprise Integration

for TimescaleDB

Data AnalysisTimescaleDB

Easily integrate MQTT data with TimescaleDB to unlock the full potential of IoT data analytics by using the PostgreSQL extension.

Enterprise Integration for Timescale

Overview

Integrate with TimescaleDB by using the HiveMQ PostgreSQL Extension. Timescale is a leading open-source time-series database built on top of PostgreSQL, providing specialized capabilities for handling time-series data. With HiveMQ Enterprise Extension for PostgreSQL, it is possible to:

  • Forward MQTT messages from IoT devices to one or more TimescaleDB databases.
  • Convert MQTT messages into TimescaleDB rows with convenient statement templates and insert statements.
  • Optimize data formatting for efficient data querying and quick analysis.

Why HiveMQ and TimescaleDB?

HiveMQ’s MQTT platform is the ideal choice for supplementing your investment in TimescaleDB to unlock the full power of data analytics.

Real-time analytics

Analyze IoT data to provide real-time insights into device performance, user behavior, and environmental conditions for swift decision-making.

Predictive analytics

Utilize analytical tools with TimescaleDB to query real-time sensor data and build predictive models for pattern identification and trend analysis.

Historical trend analysis

Use TimescaleDB to store and analyze new and historical IoT data to identify trends and patterns over time.

Data visualization

Create curated reports and dashboards, providing data visualization and empowering stakeholders to make informed decisions.

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

Extensions usage scales along with the rest of the cluster and each enterprise extension is designed and tested for use in a cluster.

Availability

Extensions run on each cluster node, so if a node exits the cluster the extension will be present on the replacement node.

Manageability

No separate nodes to manage. Easily manage cluster-wide configuration in a Kubernetes cluster with the HiveMQ Operator.

Get started with HiveMQ today

Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.