Periscope Data (Sisense for Cloud)
What it is: SQL-first analytics platform for data teams. Now Sisense for Cloud Data Teams. Write SQL, Python, or R for visualizations.
What It Does Best
SQL-first workflow. Optimized for analysts who write SQL. Auto-complete, formatting, version control. Fast query editor.
Python and R support. Use Python/R for advanced analytics. ML models, statistical analysis. Full Jupyter-like environment.
Cached queries. Smart query caching across dashboards. Saves compute costs. Fast dashboard loads even with heavy queries.
Key Features
SQL IDE: Professional SQL editor with auto-complete and formatting
Python/R integration: Full programming environment for advanced analytics
Smart caching: Query results cached across dashboards
Git integration: Version control for all queries and analyses
Shared views: Reusable SQL logic across organization
Pricing
Professional: $250/user/month (analysts)
Viewers: $100/user/month (view-only)
Enterprise: Custom pricing
When to Use It
✅ Data team writes SQL daily
✅ Need Python/R for advanced analytics
✅ Want version control for queries
✅ Heavy data warehouse users (Snowflake, Redshift)
✅ Need to reduce warehouse compute costs with caching
When NOT to Use It
❌ Non-technical business users building dashboards
❌ Need drag-and-drop interface
❌ Small team without SQL skills
❌ Budget-conscious (expensive per user)
❌ Want simple, guided analytics experience
Common Use Cases
Data team analytics: SQL-based analysis and dashboarding for analysts
Advanced analytics: ML models and statistical analysis with Python/R
Data warehouse optimization: Reduce compute costs with smart caching
Multi-language workflows: Combine SQL, Python, R in single analysis
Team collaboration: Share SQL logic and reusable views
Periscope vs Alternatives
vs Mode: Periscope better caching, SQL IDE; Mode better collaboration features
vs Looker: Periscope better for ad-hoc SQL; Looker better for governed metrics
vs Tableau: Periscope better for code-first teams; Tableau better visualization
Unique Strengths
SQL optimization: Best SQL editor among BI tools
Smart caching: Industry-leading query caching to reduce costs
Multi-language: Seamless SQL, Python, R integration
Data warehouse focused: Built specifically for cloud warehouses
Bottom line: Best BI tool for data analysts and engineers. If your team writes SQL and wants code-first analytics, this is it. Not for business users.
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