WisDM Metrics vs. Grafana for LoRaWAN® Gateway Monitoring

In short: WisDM Metrics is a no-code LoRaWAN gateway monitoring capability inside WisDM, using available WisGate metrics for fleet dashboards without a separate telemetry pipeline. Grafana is among the LoRaWAN visualization tools used for customizable, cross-system observability, but a DIY stack requires teams to build and maintain the surrounding data pipeline. Many teams can use both.

“We Already Have Grafana. Why Do We Need WisDM Metrics?”

“We already collect gateway data and display it in Grafana. Why should we add another monitoring capability?”

That is a fair question. Grafana is established, flexible, and capable of turning many data sources into sophisticated dashboards. But the real comparison is not which platform can draw the better chart. It is how much work sits behind that chart.

Gateway telemetry must be collected, structured, stored, and connected to Grafana. Someone must build and maintain the queries, manage the database and retention policies, and repair the pipeline when an exporter, metric name, or label changes. The dashboard structure must also be designed to represent locations, clients, and gateways as a LoRaWAN fleet.

WisDM Metrics handles that routine monitoring path inside WisDM. Teams can use WisGate metrics already available in WisDM to create projects, dashboards, and widgets without assembling or maintaining a separate monitoring stack.

Grafana provides maximum flexibility for customized, cross-system observability. WisDM Metrics reduces the setup and ongoing maintenance needed for everyday gateway for LoRaWAN visibility.

WisDM Metrics and Grafana Solve Different Parts of the Monitoring Problem

What WisDM Metrics Provides

WisDM Metrics sits inside the existing WisDM gateway management environment, so teams start with gateway metrics, gateway inventory, location relationships, and fleet context already available inside WisDM.

WisDM Metrics workflow showing gateway metrics organized into projects, dashboards, and configurable widgets.

A project can represent a site, customer, or monitoring scenario. Each project can contain multiple dashboards with configurable widgets for gateway health, connectivity, system performance, and LoRaWAN packet metrics. Users can:

Filter by label: gateway, location, or firmware version
Filter by metric value: apply a comparison and threshold, for example CPU utilization above 50%
Select a time range
Apply count, sum, average, minimum, maximum, or last value
Choose an appropriate chart, table, or single-value display

Last value is typically paired with a single-value display to answer "what is the last value reported by this gateway," while the aggregations answer "how has the fleet behaved over this period."

No separate data source or dashboard platform needs to be deployed. For dashboard creation, WisDM Metrics provides a no-code workflow: users can create and configure dashboards without writing query-language expressions.

What a Grafana DIY Stack Requires

Grafana is primarily the visualization layer. A complete implementation commonly follows a longer path:

Grafana DIY workflow showing gateway data moving through collection, a time-series database, queries, and Grafana.

1. Expose, collect, or transform gateway telemetry.
2. Store it in Prometheus, InfluxDB, or another compatible database.
3. Define metric names, labels, and retention.
4. Connect the data source and configure queries.
5. Build panels, variables, and alerts.
6. Secure, back up, monitor, and maintain the stack.

This flexibility is valuable when a company already has a mature observability environment and needs to combine gateway data with application, cloud, or infrastructure metrics.

WisDM Metrics vs. Grafana DIY Stack at a Glance

Comparing WisDM Metrics with a Grafana DIY stack is less about choosing a universal winner than choosing an operating model. Teams researching Grafana alternatives LoRaWAN deployments can use should also consider how much of the monitoring stack they want to build and maintain.

WisDM Metrics places supported gateway monitoring inside the same environment used to manage WisGate fleets. A Grafana-based stack provides broader control over data sources, queries, transformations, and visualizations, but that freedom also makes the customer responsible for the surrounding pipeline.

The table below shows where each approach is strongest. WisDM Metrics favors faster deployment, simpler dashboard creation, and less monitoring-stack upkeep. Grafana favors highly customized analysis and cross-system observability. Some organizations may choose one as their primary gateway view, while others may use both for different operational needs.

Evaluation Factor	WisDM Metrics	Grafana DIY Stack	Best Fit
Initial setup	Available within WisDM	Requires data collection, storage, connection, and dashboard setup	WisDM Metrics for faster startup
Metric selection	Choose supported gateway metrics in the interface	Build or configure queries against connected data sources	WisDM Metrics for faster configuration; Grafana for custom query logic
Filtering	Filter by label, or by metric value using a comparison and threshold	Expressed through query-language conditions against the connected data source	WisDM Metrics for routine thresholds; Grafana for complex composite logic
LoRaWAN context	Metrics come from WisGate gateways for LoRaWAN managed in WisDM	Depends on the gateway data the team collects and models	WisDM Metrics for native WisGate monitoring
Dashboard structure	Projects, dashboards, and widgets	Flexible folders, dashboards, panels, and variables	WisDM Metrics for fleet organization; Grafana for custom structures
Data pipeline	Managed as part of WisDM	Designed and maintained by the customer	WisDM Metrics when a separate pipeline is unnecessary
Visualization range	Curated charts, values, and tables	Extensive panels, plugins, transformations, and data sources	Grafana for specialized, cross-system visualization
Maintenance	Managed product capability	Customer maintains integrations, storage, queries, and dashboards	WisDM Metrics for reduced monitoring-stack upkeep
Primary audience	Gateway operations teams and deployment managers	Observability specialists and cross-system monitoring teams	Match the platform to the team operating it

The most important differences appear before and after a chart is displayed: how the data reaches it, who configures it, and who keeps the full monitoring path running.

Setup Effort: Start With Gateway Metrics or Build the Monitoring Path

The difference is the starting point. WisDM Metrics begins inside a WisDM organization. Grafana-based monitoring begins with the team’s telemetry pipeline.

How to Visualize LoRaWAN Data Without Grafana Using WisDM Metrics

Open a project or create one. Each project can contain multiple dashboards.

1. Create a dashboard.

2. Select Add widget and choose a visualization type.

3. Enter the widget details.

4. Select a metric type and metric.

5. Choose an operation, and optionally filter by label or by metric value.

6. Select Retrieve metrics to preview the result, then select Add widget.

After adding widgets, set the dashboard period and, if needed, filter all widgets by gateway serial number. WisDM already has the organization, gateway inventory, locations, and supported metric choices. Users define the monitoring structure through projects, dashboards, and widgets.

A mature Grafana environment may already have most of this foundation in place. The continuing difference is who maintains it.

Query Languages: Selecting a Metric Versus Engineering a Query

Grafana’s query experience depends on the connected data source. Prometheus may use PromQL, while InfluxDB may use InfluxQL or Flux. SQL and other syntaxes may apply elsewhere.

Building a dependable panel requires more than valid syntax. The dashboard administrator must understand:

Data structure: metric names, labels, and how gateway records are modeled
Time behavior: windows, aggregations, missing or stale data, and counter resets
Query design: filtering, grouping, and performance at the required fleet scale

WisDM Metrics places these routine choices in the interface. Users select a supported metric, choose an operation, apply the relevant fleet filter, and set the dashboard time range.

Let’s take this operational question as an example:

How many uplink packets with CRC errors were recorded across gateways at a particular location?

In WisDM Metrics, select the CRC-error metric, apply the location filter, and choose the required aggregation. In a Grafana DIY stack, the team must first ensure that gateways expose the data, map it correctly into the selected database, and write or configure the appropriate query.

WisDM Metrics selection workflow versus Grafana DIY querying for uplink packets with CRC errors.

Or a threshold question:

Which gateways are reporting CPU utilization above 50%?

In WisDM Metrics, select the CPU utilization metric and apply the value condition. In a Grafana DIY stack, the same question is expressed as a query-language comparison against the collected series. This assumes the metric is exposed, named, and labeled consistently across every gateway in the fleet.

Query languages are not inherently undesirable. They provide powerful control for custom calculations, transformations, and correlations across systems. The advantage of WisDM Metrics is narrower: routine LoRaWAN gateway questions do not require users to understand the underlying query language or maintain its data model.

LoRaWAN Visibility Starts With the Available Gateway Data

Teams evaluating the best IoT dashboard for LoRaWAN should first consider what gateway data the platform can access, organize, and display.

Grafana can visualize, transform, and correlate LoRaWAN metrics when the required gateway telemetry is available through connected data sources. In a DIY stack, the depth of that visibility depends on which gateway statistics are collected and how consistently they are modeled.

Metrics Available Within WisDM

The supplied WisDM reference lists supported metrics across three areas:

Gateway and system: online and offline states, gateway status, system uptime, CPU utilization, available memory, GPS status, observed GPS satellites, and SD card status
Network and backhaul: interface uptime, received and transmitted traffic trends, cellular link status and signal level, plus gateways using cellular, Ethernet, or Wi-Fi
LoRaWAN packets: downlink packets reporting success or error, and uplink packets with CRC errors, valid CRC, or no CRC information

Default filter labels include location, gateway serial number, and firmware version, carrying gateway and fleet context into dashboards. Widgets can also filter on the metric value itself, so a dashboard can show only the gateways that cross a defined threshold.

Reproducing That Depth in Grafana

Grafana can display comparable information when the surrounding stack supplies it. This means deciding which gateway statistics to export, how to model gateways, locations, firmware versions, and interfaces, and how to keep those labels stable across firmware and integration changes.

In an established observability environment where gateway data must sit alongside application, cloud, and infrastructure metrics, that work is often worth doing.

The Long-Term Difference: Who Maintains the Stack?

An existing Grafana environment can reduce the initial setup, especially when telemetry collection, storage, and access controls are already standardized. The longer-term consideration is ownership. A team still needs to keep the WisGate integration working as firmware, metric names, labels, credentials, or infrastructure requirements change.

That responsibility typically covers:

Data path: Collectors, MQTT processing, exporters, and integrations.
Data layer: Database performance, retention, backups, and query compatibility.
Monitoring layer: Dashboard versioning, access controls, certificates, and alerts.

WisDM Metrics is included in all WisDM plans at no additional cost. Grafana is not inherently expensive; it offers open-source and commercial options. The relevant cost comparison is the infrastructure and staff time required to maintain the complete DIY implementation.

Which Monitoring Approach Fits Your Team?

The choice depends on your existing infrastructure, technical resources, and monitoring scope.

Choose WisDM Metrics when operations teams need no-code WisGate visibility inside WisDM.
Choose Grafana DIY when observability specialists need cross-system analysis and complete technical control.
Use both when Grafana covers company-wide observability and WisDM Metrics supports gateway operations.

Existing Grafana users do not need to replace dashboards that already work. WisDM Metrics adds a faster, LoRaWAN-focused layer for the teams managing the gateway fleet each day.

Log in to WisDM and build your first Metrics dashboard.

Frequently Asked Questions

Does WisDM Metrics replace Grafana?

No. WisDM Metrics focuses on routine monitoring of WisGate fleets inside WisDM. Grafana remains useful for highly customized, cross-system observability. Teams can keep their existing Grafana dashboards.

Is WisDM Metrics included in my current WisDM plan?

Yes. WisDM Metrics is included in all WisDM plans at no additional cost.

Do I need PromQL or another query language?

No. Users select a supported metric, operation, time range, and filters through the WisDM interface. This workflow does not require PromQL, InfluxQL, Flux, SQL, or another query language.

Can I filter by metric value, not just by label?

Yes. In addition to label filters such as location, gateway serial number, and firmware version, widgets can filter on the metric value itself using a comparison and threshold. For example, showing only gateways reporting CPU utilization above 50%.

Which WisGate gateways and firmware versions support Metrics?

WisDM Metrics uses data from supported gateways managed in WisDM. Current WisDM requirements specify WisGateOS 1.2.2 or later, with the latest firmware recommended. Hardware-specific metrics depend on the gateway’s available features and interfaces.

What LoRaWAN metrics are available at launch?

Launch metrics include downlink packets reporting success or error and uplink packets with valid CRC, CRC errors, or no CRC information. The complete list appears in the WisDM Metrics documentation.