Reporting and BI

Business-intelligence and analytics tools, how they use AI (state as of summer 2026) and how to learn them. Generated 2026-10-05; the plugin block below lists the folder live. Related: looker-studio (in KB-TECH/CLOUD), Grafana, knime-offerings-and-competitors-overview, SSRS notes in KB-TECH/DATABASES.

Start here

• BI tools landscape 2026
• AI in BI tools, summer 2026
• BI self-learning resources (cross-tool)

Microsoft, Salesforce and Qlik

• Power BI
• Microsoft Fabric
• Power BI learning path
• Tableau
• Tableau learning path
• Qlik Cloud Analytics (Qlik Sense, QlikView, Qlik Answers)
• Qlik learning path

Google

• Looker (Google Cloud BI platform, LookML)
• Looker and Data Studio learning path

AI-native and semantic-layer BI

• ThoughtSpot (Spotter agentic analytics)
• Sigma (Sigma Computing analytics)
• Strategy One (formerly MicroStrategy)
• Domo (data and AI platform)

Open-source and developer-first

• Open-source BI comparison
• Metabase
• Apache Superset and Preset
• Lightdash
• Evidence (evidence.dev)
• Redash
• Hex
• Mode Analytics

Enterprise suites and warehouse-native BI

• SAP Analytics Cloud (SAC) and SAP Business Data Cloud
• Oracle Analytics (Oracle Analytics Cloud, Oracle Analytics Server, Fusion Data Intelligence)
• IBM Cognos Analytics
• Sisense (Sisense Intelligence, Compose SDK)
• Zoho Analytics
• BI (Dashboards and Genie)
• CoWork and Cortex Analyst