Rig vs. the alternatives

    Your data has answers.
    Most tools can't ask the question

    BI tools show graphs. Search agents summarise documents. Automation tools move data. Rig deeply understands your complex structured data, and lets you build agents that take action with it.

    Data Agent Platform

    Build autonomous agents that understand complex internal data. From fraud investigations to churn prevention to revenue ops.

    Auto-Generated Context

    Our FDE agent builds and maintains rich data context automatically. No endless definitions, schemas stay current as your warehouse evolves.

    Governed Sandbox

    Every query runs through our orchestrator sandbox. Auditable SQL, permission-aware execution, reduced warehouse bills.

    Question to Action

    Go beyond dashboards. Data Agents write reports, draft outreach, create CRM deals, and push to 300+ integrated tools.

    Third-Party Agent Ready

    Connect Claude, ChatGPT, or any AI via Rig MCP. Your context layer and orchestrator serve any agent that needs your data.

    Weeks, Not Quarters

    Connect your warehouse and start building Data Agents immediately. No six-month implementation or army of consultants.

    Head-to-head

    How Rig stacks up against tools you might be evaluating.

    Stack
    RigOne product: ingestion, warehouse, modelling, hosting, AI, and governance
    Building it yourselfTen products, ten contracts, ten integrations to wire and own
    Time to value
    RigConnected and answering in days
    Building it yourselfSix to nine months to first useful output
    Headcount
    RigNo dedicated data team required
    Building it yourselfA data engineer, then a data team, to build and maintain it
    Context layer
    RigSelf-maintaining context that adapts to schema drift
    Building it yourselfHand-rolled YAML and a Notion doc no one updates, goes stale
    Governance
    RigSandboxed queries, RBAC, and a full audit trail from day one
    Building it yourselfDesign RBAC, sandboxing, and audit logging from scratch

    Build and maintain the whole modern data stack yourself, or connect Rig and start today.Read more →

    What happens when you skip the governance? Read the RBAC horror story

    Approach
    RigConnect your warehouse and go
    Claude CodeBuild and maintain a bespoke data-query stack
    Governance
    RigBuilt-in sandbox, audit trail, and permissions
    Claude CodeImplement your own guardrails
    Maintenance
    RigSemantic layer auto-adapts to schema drift
    Claude CodeSchema changes mean code changes
    Agents
    RigOrchestrator + MCP + >300 integrations out of the box
    Claude CodeBuild agent logic from scratch
    Actionability
    RigInsights trigger reports, alerts, CRM updates, and workflows automatically
    Claude CodeYou build the action layer yourself

    Claude Code helps you build anything. Rig gives you the data intelligence platform so you don't have to.Read more →

    What happens when you skip the governance? Read the RBAC horror story

    Scope
    RigAny warehouse, database, or API
    Cortex Analyst (Snowflake)Snowflake data only
    Context
    RigAuto-generated and self-updating as your schema evolves
    Cortex Analyst (Snowflake)You write and maintain YAML semantic files manually
    Cost control
    RigSandbox tests every query before execution, blocking invalid or oversized scans
    Cortex Analyst (Snowflake)Bad, invalid, or runaway scans still burn compute
    Permissions
    RigSet once, enforced across every connected AI and SaaS tool
    Cortex Analyst (Snowflake)Stay inside Snowflake, don't reach Codex, Claude, ChatGPT, Cursor, Slack, or your CRM
    Actionability
    RigAgents drive downstream actions: emails, deals, escalations, and more
    Cortex Analyst (Snowflake)Returns answers, acting on them is manual
    Core job
    RigGetting insight from data and taking action with it
    WorkatoMoving data between SaaS apps
    Intelligence
    RigAI-driven analysis with governed SQL
    WorkatoRule-based automation
    Output
    RigAnswers, reports, and data-driven alerts
    WorkatoActions triggered across apps
    Overlap
    RigMakes sense of what's in those systems
    WorkatoConnects systems together
    Actionability
    RigData-driven agents decide when and how to act, not just shuttle records
    WorkatoMoves data between apps on a schedule

    Workato connects your tools. Rig makes your data talk.Read more →

    Scope
    RigAny warehouse, any source, unified agents
    Genie (Databricks)Queries inside Databricks only
    Lock-in
    RigWarehouse-agnostic, connect anything
    Genie (Databricks)Databricks-native, requires Unity Catalog
    Output
    RigAnswers, reports, alerts, and autonomous actions
    Genie (Databricks)Answers and visualizations
    Agents
    RigFull orchestrator with multi-step reasoning
    Genie (Databricks)No agent framework
    Actionability
    RigAgents trigger workflows, push to CRM, send alerts, and drive decisions
    Genie (Databricks)Displays answers and charts, no action layer
    Adoption
    RigHours to days to value
    Palantir FoundryWeeks to months to value
    Audience
    RigMid-market teams, growth-stage companies
    Palantir FoundryGovernment, defense, large enterprise
    Pricing
    RigTransparent, accessible pricing
    Palantir FoundryCustom enterprise contracts ($$$$)
    Deployment
    RigConnect your warehouse, validate accuracy via a risk-free POC, and go
    Palantir FoundryHeavy implementation + dedicated team
    Actionability
    RigOut-of-the-box actions: reports, alerts, CRM updates, 300+ integrations
    Palantir FoundryActions require custom Ontology apps and engineering
    User
    RigAny team member asking questions
    n8nDevelopers writing workflow logic
    Approach
    RigAutonomous reasoning over your data
    n8nPre-defined triggers and actions
    Intelligence
    RigUnderstands what you ask
    n8nExecutes what you build
    Flexibility
    RigSemantic layer adapts to context
    n8nRigid, breaks when schemas change
    Actionability
    RigAgents reason over data and choose the right action autonomously
    n8nExecutes pre-wired steps, can't decide what to do
    Data type
    RigStructured: warehouses, databases, metrics
    GleanUnstructured: docs, wikis, tickets, chat threads
    AI approach
    RigData Agents with context layer & orchestrator
    GleanRAG over documents & knowledge bases
    Best at
    RigBuilding agents that query, analyze, and act on data
    GleanFinding information across your apps
    Output
    RigSQL-backed insights, reports, and autonomous actions
    GleanSummarized answers from documents
    Actionability
    RigAgents act on insights: trigger alerts, update CRM, send reports, and more
    GleanSurfaces information, doesn't drive action

    Ready to stop searching and start understanding?

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