AI Analytics Platform
Tellius
SF 8.5Decision intelligence with AI driven insights
Contact sales
AI Data & Query Analytics
Quadratic
SF 8.5AI spreadsheet with Python and SQL
Free · PaidPro from $18/moFree personal plan available.
Quick decision guide
Choose based on your workflow
Tellius may fit better if...
- Search Analytics
- AI Insights
- Kaiya Agents
Quadratic may fit better if...
- AI Cells
- Python Support
- SQL Queries
Overview
How each tool is described
Tellius
What is Tellius?
Tellius is an agentic analytics platform that combines conversational data exploration, automated root-cause analysis, visualization, machine learning, and AI agents so business users can investigate enterprise data and move from questions to governed analytical findings.
- Analytics workflow: Kaiya answers natural-language questions against governed enterprise data, while Deep Insights can investigate why metrics changed using techniques such as variance decomposition, driver analysis, cohorts, trends, anomalies, correlations, segmentation, and forecasting.
- Agentic analysis: Agent Mode plans and executes multi-step investigations, selecting tools such as SQL and Python for different analytical tasks. Custom Workflows can encode domain expertise and business logic into reusable, governed analytical processes for repeated investigations.
- Operational fit: Kaiya Everywhere extends Tellius into browser workflows, Slack, Microsoft Teams, embedded applications, and MCP-compatible tools such as Claude or enterprise agents. These access points use the same contextual intelligence layer, business definitions, permissions, and analytical context maintained in Tellius.
- Commercial considerations: Tellius uses customized pricing for Premium and Enterprise. Premium is designed for teams of up to 10 users and is hosted on Tellius Cloud, while Enterprise supports unlimited users, unlimited live-data scale, additional APIs and security controls, embedding, and deployment on Tellius Cloud, a customer cloud, or on-premises infrastructure.
Tellius is particularly relevant to organizations that want conversational analytics to progress beyond dashboard Q&A into governed root-cause investigation, prediction, and reusable agent-driven analytical workflows.
Quadratic
What is Quadratic?
Quadratic is an AI-enabled spreadsheet that combines familiar cells and formulas with Python, SQL, JavaScript, database connections, and collaborative analysis, giving technical and nontechnical users one workspace for exploring, modeling, and presenting data.
- Analysis workflow: users can mix spreadsheet formulas with Python or JavaScript code, return code outputs directly to cells, create charts with libraries such as Plotly and Chart.js, and query live database connections with SQL without leaving the spreadsheet.
- AI assistance: Quadratic AI can build analyses from natural-language instructions, generate or repair Python, JavaScript, formulas, and SQL, create charts, and use spreadsheet or database-schema context when producing results. Generated code remains visible and editable so users can inspect how an analysis was performed.
- Implementation checks: teams should assess database connections and credentials, sharing permissions, collaboration requirements, AI usage and model controls, and whether Quadratic Cloud or self-hosting better fits their security needs. Quadratic is source-available rather than fully open source, and business use of the self-hosted software requires an appropriate commercial license.
- Commercial considerations: Personal is free; Pro costs $18 per user per month billed annually, and Business costs $36 per user per month billed annually. Enterprise uses custom pricing and includes SSO, custom AI usage, and dedicated support. Self-hosting is not exclusive to Enterprise: individuals can self-host free, while Business and Enterprise self-hosting is licensed per user.
Quadratic is particularly relevant to teams that want spreadsheet accessibility without separating advanced coding, live database analysis, and AI-assisted exploration into different tools.
Side-by-side
Key differences
Criteria
AI Analytics PlatformTellius
AI Data & Query AnalyticsQuadratic
Best for
AI Analytics Platform
AI Data & Query Analytics
Score
8.5/10
8.5/10
Pricing
Contact sales
Free · PaidPro from $18/mo
Category / audience
AI Analytics Software › AI Analytics Platform
- AI analytics
- decision intelligence
- Kaiya AI
AI Analytics Software › AI Data & Query Analytics
- AI spreadsheet
- Python cells
- SQL analysis
Feature check
Side-by-side feature check
Feature
Tellius
Quadratic
Search AnalyticsLets users ask business questions naturally
-
AI InsightsExplains metric changes and key drivers
-
Kaiya AgentsAutomates multi step analytics workflows reliably
-
Driver AnalysisFinds important segments behind performance shifts
-
Live DashboardsShares visual narratives and operational views
-
Data PrepConnects and prepares cloud business data
-
12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Tellius
- Explain changes in business metricsFind drivers behind revenue, churn, or demand shifts
- Give business users search based analyticsLet teams ask questions without building dashboards first
- Automate root cause analysis workflowsUse AI to surface segments and influencing factors
Quadratic
- Combine spreadsheets with Python workflowsUse code and cells together for flexible analysis
- Query databases from spreadsheet cellsRun SQL inside a familiar collaborative grid securely
- Clean messy operational datasets quicklyUse formulas, code, and AI to structure records
The trade-offs
Pros & cons of each tool
Trade-offs
Tellius
Pros
- Combines search, diagnostics, dashboards, and agents effectively
- Kaiya helps translate analysis into business narratives
- Strong fit for complex diagnostic analytics needs
Cons
- Full value requires well prepared data foundations
- Custom pricing needs sales led scoping process
- Broader scope may feel heavy for dashboards
Trade-offs
Quadratic
Pros
- Combines spreadsheet familiarity with real programming power
- AI assistant speeds formulas and code generation
- Database connections support more serious analytical workflows
Cons
- Traditional spreadsheet users may need adjustment time
- Governance features are still maturing for enterprises
- Advanced value depends on Python or SQL comfort
Final verdict
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Tellius and Quadratic. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Differentiators available
Tellius has 4 visible decision signals and Quadratic has 4.
Choose Tellius if…
- Explain changes in business metrics
- Give business users search based analytics
- Automate root cause analysis workflows
- Search Analytics
Choose Quadratic if…
- Combine spreadsheets with Python workflows
- Query databases from spreadsheet cells
- Clean messy operational datasets quickly
- AI Cells
TRY THEM YOURSELF
See which one fits your workflow
Both tools have their strengths, the best way to decide is to spend a few minutes inside each.