SIDE-BY-SIDE COMPARISON

CompareNumbers StationvsTellius

Review features, pricing signals, strengths, and trade-offs before choosing.

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Generated from current catalog profiles Catalog profile signals Use-case comparison

Quick decision guide

Choose based on your workflow

Numbers Station may fit better if...

  • AI Agents
  • Conversational Analytics
  • Knowledge Layer

Tellius may fit better if...

  • Search Analytics
  • AI Insights
  • Kaiya Agents

Overview

How each tool is described

Numbers Station

What is Numbers Station?


Numbers Station is a conversational analytics platform that lets business users ask natural-language questions across enterprise data warehouses, dashboards, documentation, semantic layers, and other analytics assets, then receive contextual answers, generated queries, and visualizations through a unified interface.


  1. Analytics workflow: a network of specialized agents plans each analysis, clarifies intent, searches existing datasets and dashboards, generates and executes SQL when needed, reviews results, and creates visualizations. Conversations retain context for follow-up questions within the same chat.
  2. Knowledge layer: Numbers Station builds a Knowledge Layer that combines a knowledge graph with an AI-powered semantic layer, linking datasets, dashboards, metrics, transformations, business definitions, and their relationships. Administrators can review and edit entities, relationships, descriptions, and business semantics to correct or refine AI-generated context.
  3. Data architecture: the platform connects directly to Snowflake, Databricks, BigQuery, and Redshift for on-demand queries. Numbers Station states that it does not persistently copy or store warehouse data, while metadata such as schemas, semantic definitions, and historical query information is used to build its Knowledge Layer.
  4. Implementation checks: buyers should assess warehouse connectivity, semantic definitions and metadata quality, SSO and authentication, row- and column-level access controls, preferred LLM providers, deployment requirements, and whether SaaS or private-VPC operation best fits their governance model.


Numbers Station is particularly relevant to organizations that want employees to explore governed enterprise data conversationally without routing every new question through a predefined dashboard, data analyst, or manually written SQL query.

View full Numbers Station profile

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.


  1. 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.
  2. 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.
  3. 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.
  4. 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.

View full Tellius profile

Side-by-side

Key differences

Criteria
AI Data & Query AnalyticsNumbers Station
AI Analytics PlatformTellius
Best for
AI Data & Query Analytics
AI Analytics Platform
Score
7.9/10
8.5/10
Pricing
Contact sales
Contact sales
Category / audience
AI Analytics Software › AI Data & Query Analytics
  • conversational analytics
  • text to SQL
  • AI data agents
+2 more
AI Analytics Software › AI Analytics Platform
  • AI analytics
  • decision intelligence
  • Kaiya AI
+2 more

Feature check

Side-by-side feature check

Feature
Numbers Station
Tellius
AI AgentsCoordinates specialized agents for analytics tasks
-
Conversational AnalyticsAnswers data questions in natural language
-
Knowledge LayerMaps metrics, entities, and business logic
-
SQL GenerationGenerates and executes structured data queries
-
Embedded WidgetSupports analytics inside applications and workflows
-
Security ControlsIncludes governance, access, and deployment options
-
12 capabilities compared.12 differentiating rows are shown first.

Use cases

Who they're built for

Numbers Station

  • Test AI agents for analytics teamsExplore conversational agents grounded in business metadata context
  • Generate SQL from business questionsTurn natural language into structured warehouse query logic
  • Connect dashboards and documentation contextUse knowledge layers to improve analytics answer reliability
View full Numbers Station profile

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
View full Tellius profile

The trade-offs

Pros & cons of each tool

Trade-offs

Numbers Station

Pros
  • Agent approach fits emerging enterprise analytics workflows
  • Knowledge layer supports more contextual business answers
  • Alation ownership may improve governance integration path
Cons
  • Standalone future is unclear after Alation acquisition
  • Public review signals remain limited for buyers
  • Not ideal for simple dashboard replacement needs
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

Final verdict

Best fit depends on your workflow

Catalog verdict · medium confidence

Current catalog data shows meaningful overlap between Numbers Station and Tellius. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Differentiators available

Numbers Station has 4 visible decision signals and Tellius has 4.

Score signal

Tellius has the higher SoftFinders Score in the current catalog data.

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.

Try Numbers Station Try Tellius
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