Infogram vs Kibana

Infogram is a web platform for building interactive data visualizations, including infographics, charts, maps, reports, dashboards, slides, and social media graphics. Projects can combine custom tooltips, clickable elements, videos, GIFs, and animations. It lists more than 35 customizable chart types and more than 800 maps, with AI tools for making visuals, suggesting charts, adjusting content, and turning images into data. Projects can be shared or embedded on websites, blogs, and presentations without coding; embedded visuals reflect later edits. Connections include YouTube, SlideShare, Flickr, Giphy, and IFrame, plus data sources such as Google Drive spreadsheets, Dropbox, JSON feeds, and several databases. The Basic plan allows one user and up to 10 projects. Pro costs $19 a month billed annually; Business costs $67 a month billed annually; Team costs $149 a month billed annually. Infogram lists a developer API, WCAG 2.2 Level accessibility, and SOC 2 Type 2 compliance. Its offices are in Riga, Budapest, and San Francisco.

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.