Apache Superset vs TIBCO Spotfire

Apache Superset is a free, open-source platform for exploring data and creating visualizations. Users can build charts with a no-code tool or work in a SQL IDE, then assemble charts and tables into interactive dashboards with drag-and-drop tools. It includes more than 40 visualization types and supports custom visualizations through plug-ins. Dashboard features include filters, cross-filters, drill-to-detail, and drill-by; other listed tools include caching, Jinja templating, CSS templates, and a semantic layer. The database guide lists 81 supported databases, with each engine requiring a separately installed driver; examples include Trino, Apache Hive, Apache Spark SQL, PostgreSQL, and Google BigQuery. Superset is self-hosted and can be installed through Docker Compose, Kubernetes, or as a Python package from PyPI. Kubernetes is described as the production best-practice option and requires Kubernetes expertise. Superset also lists row-level security, scheduled reports, embedded analytics, and natural-language queries. Its OpenAPI-specification REST API supports automation and integrations, and most endpoints require JWT authentication. Community support is available through Slack, GitHub, a mailing list, and meetups.

TIBCO Spotfire is a visual industrial analytics platform for exploring data and supporting decisions in complex operations. Spotfire Analytics lets users examine time-series, spatial and multivariate data through interactive filtering, drill-down and scenario comparison. Visual AI and Insight Agents can recommend patterns, anomalies and next steps during exploration. Industry Pro adds capabilities for energy and manufacturing, including advanced time-series analytics and specialized geoanalytics. Listed connections include Snowflake, AVEVA PI, ESRI, Cognite, SQL Server, Apache Spark SQL and SharePoint, along with JDBC or ODBC sources. Push Compute runs analytics and transformations inside Snowflake and Databricks. Enterprise supports governance of data, users and analytical assets, with deployment in cloud, on-premises or hybrid environments. Analytics and Industry Pro include a Windows application and a kit for browser use; mobile applications are available for iOS and Android. Extensions, Python and R data functions and developer APIs are also described. The 30-day trial provides Industry Pro access, including Spotfire and Statistica. Spotfire Analytics costs $3,000 per user per year, excluding tax.