Rig vs. the alternatives

    Compare ways to prepare company data for AI

    Choose which work your team will own and which work Rig will handle. Consider data syncs, definitions, permissions, systems changes and maintenance.

    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 data context, and keeps it current as your warehouse schema changes.

    Governed sandbox

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

    Question to action

    Data agents write reports, draft outreach, create CRM deals and push to 300+ integrated tools.

    Ready for third-party agents

    Connect Claude, ChatGPT, or any AI via Rig MCP. Rig Map and the orchestrator serve any agent that needs your data.

    Live in weeks

    Connect your warehouse and start building data agents straight away, with no six-month implementation.

    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 yourselfAbout ten separate tools to buy, connect and maintain
    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
    Business context
    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
    RigAnswers trigger reports, alerts, CRM updates and workflows automatically
    Claude CodeYou build the action layer yourself

    Rig gives Claude Code governed data and context, so your team does not have to build that layer itself.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

    Cortex Analyst adds natural-language queries to Snowflake, and Rig works across any warehouse and acts on the answers.Read more →

    Core job
    RigAnswering questions from data and acting on the answers
    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 on the records they read
    WorkatoMoves data between apps on a schedule

    Rig answers questions from warehouse data, and a Workato recipe can call it as a step.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

    Genie answers questions inside Databricks, and Rig builds agents that work across your whole data stack.Read more →

    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

    Foundry suits large enterprises running long programmes, and Rig suits startups and mid-market companies that need results in weeks.Read more →

    Pricing
    RigMonthly tier with credits included, nothing charged per row
    FivetranBilled per monthly active row, per connection
    Scope
    RigLands the tables, then models them and maps them in Rig Map
    FivetranLands raw tables and stops
    dbt
    Rigdbt Core included, no per-run billing
    Fivetrandbt Core integration, billed per model run
    Surprises
    RigA re-sync costs the same as any other day
    FivetranA re-sync or backfill shows up on the invoice as active rows
    Actionability
    RigGoverned answers, dashboards and actions on the same data
    FivetranMoves data, answering questions is someone else's job

    Rig syncs the same sources with no per-row bill, then models them so people can ask questions of them.Read more →

    Connectors
    Rig300+ connectors built on open-source dlt
    Airbyte and StitchConnector library, self-hosted or cloud
    Scope
    RigIngestion, warehouse, dbt and Rig Map in one product
    Airbyte and StitchExtract and load, the rest is yours to build
    Maintenance
    RigManaged, with schema drift followed through to models and metrics
    Airbyte and StitchSelf-hosting means you run the upgrades and the on-call
    Governance
    RigRole, column and row-level access to the data itself, with an audit trail
    Airbyte and StitchAccess to the pipeline console
    Actionability
    RigGoverned AI access over MCP, dashboards and automations
    Airbyte and StitchEnds at a loaded table

    Rig loads data on connectors you can read and fork, then models it so people can ask questions of it.Read more →

    Status
    RigActively developed
    QlikViewMaintained, no end of life; 12.90 support ends 31 Oct 2026
    Where data lives
    RigYour own warehouse
    QlikViewIn .qvw apps and QVD files
    Business logic
    Rigdbt models and certified metrics in SQL, in your git repo
    QlikViewLoad script and set analysis, run only by Qlik's engine
    Exploration
    RigPlain-English questions and dashboards; no associative model
    QlikViewThe associative model: click a value, everything related filters
    Deployment
    RigRig's cloud, or your own cloud account on Enterprise
    QlikViewYour own Windows servers

    Converting to Qlik Sense is the shorter path. Move to a warehouse and Rig if you want your data and logic outside Qlik.Read more →

    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 Rig Map and an 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 answers, reports and autonomous actions
    GleanSummarized answers from documents
    Actionability
    RigAgents act on the answers: they trigger alerts, update the CRM and send reports
    GleanSurfaces information, doesn't drive action
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    What moving costs, what you keep, what you lose and who does the work, one page per tool.

    Palantir Foundry

    A model of the business, actions and governed AI without the enterprise programme

    Fivetran

    Nothing billed per row, and we build the migration for free

    Airbyte and Stitch

    Open-source connectors, plus the warehouse, models and context on top

    QlikView

    QVDs, load scripts and set analysis moved into your own warehouse

    Warehouse semantic layers

    Cortex Analyst, Genie and the dbt Semantic Layer, compared

    See Rig on your own warehouse

    See how Rig turns your team's questions into governed, accurate answers, in minutes.

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