Grafana's Big Tent Strategy
Grafana at $270M/year growing 69%
Grafana won by becoming the screen every ops team could keep, even when their data lived in many different systems. In practice that meant a team could pull Prometheus metrics, Elasticsearch logs, cloud monitoring data, SQL tables, and custom plugins into one dashboard instead of replacing storage first. That made Grafana easy to adopt inside messy real world stacks, while Kibana stayed much more tied to Elasticsearch workflows.
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Grafana started from a rejected attempt to add Graphite support to Kibana, so interoperability was built into the product from day one. That origin mattered, because DevOps teams rarely store all metrics, logs, and traces in one backend, they use whatever came with each app, cloud, or team.
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Grafana now documents many built in sources and a wider plugin catalog, with current docs pointing to 155 available data sources. Each source gets its own query editor, so users can ask Prometheus one way, SQL another way, and still render the answers in a common dashboard layer.
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Kibana is powerful if Elasticsearch is already the center of the stack. Elastic describes Kibana as the interface for data stored in Elasticsearch, and its data views are built around Elasticsearch indices and data streams. That creates a tighter bundle, but it is less natural for mixed vendor environments.
The next step is that interoperability moves from dashboards into the whole observability workflow. As Grafana keeps adding logs, traces, profiles, and cloud services on top of the same open entry point, it becomes harder for enterprises to rip out, and easier for Grafana to monetize teams that first arrived just to visualize existing data.