Apache Superset vs Birst

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.

Birst is an analytics platform that combines data from multiple sources and presents reports and dashboards in a browser or native mobile app. It offers interactive dashboards, self-service notifications, visual data discovery, and pixel-perfect operational reporting. Automated data refinement and ETL merge and model information from different platforms into a user data store. Its Networked BI approach combines centralized and decentralized analytics with reusable governed business definitions, blended models, and self-service analytic sandboxes. Infor describes prebuilt industry content across more than 11 industries, with role-specific material and out-of-the-box data models. Birst Enterprise includes AI/ML integrations, Smart Insights for automatically creating personalized dashboards, and 1TB of storage. Deployment options include hosted multi-tenant cloud, an on-premises virtual appliance, and embedding; mobile analytics work on iOS and Android, with offline access included in Enterprise. Listed functions also include real-time refresh, row-level security, scheduled reports, natural-language queries, planning, budgeting, rolling forecasts, scenario modeling, management reporting, and financial consolidation. Pricing is on request, and no free plan is listed.