Géoclip vs Kibana
Géoclip
geoclip.fr
Kibana
elastic.coSide by side
| Figure | Géoclip | Kibana |
|---|---|---|
| Price from | — | $99/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 5 |
| Spec score · Data Visualization Software | 7.6 (#64) | 8.9 (#9) |
| Dashboard type | interactive | interactive |
| Data sources | statistical data; location data; temporal data; personal data; TJS | Elasticsearch,Elastic Agent,Logstash,Beats,OpenTelemetry,APIs,AWS,Microsoft Azure,Google Cloud,Amazon S3,Amazon ECS,web content,files,logs,metrics,traces,and events |
| Founded | 2000 | 2012 |
| Free plan | No | Yes |
| Platform | web | web |
Plans
Géoclip
- Annual maintenance feePrice not published
- Annual maintenance€3,000 a year
- Géoclip Server licence€17,000, paid once
- OptionsPriced on request
Kibana
- Free and openFree
- Standard$99 a month
- Gold$114 a month
- PlatinumPriced on request
- EnterprisePriced on request
In their own words
Kibana
Kibana is an open-source web interface for querying, analyzing, visualizing, and managing Elasticsearch data. Its tools include Discover, Dashboards, Dev Tools Console, Maps, alerting, and developer console capabilities. Interactive dashboards can combine metrics, XY charts, graphs, maps, tables, live data, drilldowns, and reusable saved queries, and dashboards can be embedded. Data sources include Elasticsearch, Elastic Agent, Logstash, Beats, OpenTelemetry, APIs, cloud platforms, files, logs, metrics, traces, and events. Data can be ingested into Elasticsearch through OpenTelemetry, Logstash, and Beats. The self-managed Free and open tier includes Kibana and the full Elastic Stack, with native authentication, role-based access control, and TLS encryption; its support is community-based. Elastic Cloud Hosted and Serverless offer a free trial. Standard hosted pricing is listed from $99 per month, as low as, based on cloud production configuration. Kibana also offers no-code machine learning for anomalies, rare events, message patterns, and alerting, plus geospatial tools such as distance filters and shape overlays.