Agentic Index
Querio vs Zenlytic (2026)
Querio and Zenlytic both answer plain English questions against a live data warehouse, grounded in governed context, and they price very differently. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Querio publishes per workspace plans billed annually, Startup at 5,000 dollars a year for one connection and ten users and Core at 20,400 dollars, and is free to start; it answers with SQL and Python notebook cells, keeps workspace memory, schedules automations to Slack and email and exposes an API and MCP. Zenlytic's agent, Zoë, builds and extends a governed semantic layer and answers with verifiable SQL in its own app, Slack, Teams, Claude or ChatGPT; it charges per seat plus query usage and platform fees, quoted by sales, with a free trial on your own warehouse. On the grid Zenlytic is Full on integrations, model choice and orchestration where Querio is Partial or None. Choose Querio for a published annual price and notebooks; choose Zenlytic for answers delivered where your team already works.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Querio and Zenlytic are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Querio if
- A published annual price per workspace lets you budget before a sales call.
- Analysts want answers as SQL and Python notebook cells they can extend.
- Other agents should reach the workspace through an API and MCP.
Choose Zenlytic if
- An agent should build and extend your semantic layer, not only read it.
- Answers should arrive in Slack, Teams, Claude or ChatGPT.
- You want to trial it on your own warehouse before a quote.
| Feature | Q Querio |
Z Zenlytic |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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QuerioIntegrations & Tool Calling Querio connects live to BigQuery, Snowflake, Databricks, MotherDuck, Redshift, ClickHouse, PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB Atlas and SAP HANA (with SSH tunnels) plus uploaded files, runs the SQL and Python it writes, and delivers results to Slack and email. It takes no action in the connected systems, and there are no custom tools. Sourcedocs.querio.ai/connect-data/integrationsread 2026-09-28 |
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ZenlyticIntegrations & Tool Calling Zoë queries Snowflake, BigQuery, Redshift, Databricks, Athena, Azure Synapse, Trino, Postgres, MySQL, SQL Server, MotherDuck and Druid, and as an MCP client uses the tools of remote servers admins register with their own auth headers, including any server the customer brings, for example to create Jira issues or edit diagrams. Sourcedocs.zenlytic.com/mcp/clientread 2026-09-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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QuerioWorkflow Orchestration An explore runs the agent through notebook cells in chat, hybrid or layout mode, and automations rerun an explore or a prompt on a schedule. There is no branching, conditions, multiple agents or multi step flow the customer composes. Sourcedocs.querio.ai/analyze/explore-overviewread 2026-09-28 |
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ZenlyticWorkflow Orchestration Proactive Agents are built in a builder where the team defines Zoë tasks that run as conversations, tests a run and publishes it for others to reuse. A delivery condition lets the agent review its outputs and decide whether to send them. Branching inside a run is not described. Sourcedocs.zenlytic.com/proactive-agents/getting-startedread 2026-09-28 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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QuerioTriggers & Channel Coverage Automations run hourly, daily, weekly, monthly or on a custom cron schedule, either refreshing an existing explore or running a new prompt, and deliver the answer with tables and charts to email or Slack. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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ZenlyticTriggers & Channel Coverage Proactive Agents run on a schedule and deliver their results by email or Slack with no one asking, and Zoë also works inside Claude, ChatGPT, Microsoft Teams and Slack or Zenlytic's own app. Sourcedocs.zenlytic.com/proactive-agents/schedule-deliveryread 2026-09-28 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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QuerioKnowledge Grounding & RAG Each datasource carries a catalog and a knowledge base of files, including executable Python and logic blocks that define metrics and business rules, alongside workspace context files and skills, in a file backed workspace the team inspects and edits. Querio does not detail how files are retrieved for each question. Sourcedocs.querio.ai/teach-querioread 2026-09-28 |
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ZenlyticKnowledge Grounding & RAG Zoë answers from a governed semantic layer of views, fields and relationships that she builds from existing LookML, DAX, dbt or Looker context and keeps extending as people ask, with verified fields reusable across chats, artifacts and proactive agents and Skills holding wider context such as fiscal calendars. Sourcedocs.zenlytic.com/migrations/migrating-from-memories-and-topicsread 2026-09-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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QuerioMemory & State Persistence Workspace memory (a MEMORY.md file) keeps durable workspace level notes on terminology, rules, preferences and caveats that Querio reads in every conversation. Querio describes people writing it, not the agent, and states no review or deletion path beyond editing the file. Sourcedocs.querio.ai/teach-querio/memoryread 2026-09-28 |
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ZenlyticMemory & State Persistence Memories are now a legacy feature, replaced by Skills, which are instructions people write in the Context Manager, and conversations can be continued. There is no memory store the agent writes and reads across sessions with a stated scope and lifetime. Sourcedocs.zenlytic.com/migrations/migrating-from-memories-and-topicsread 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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QuerioHuman Oversight & Guardrails Only admins manage datasources and context, automations sit in draft until published and can be test run first, and warehouse connections use read only credentials with IP allowlisting. There is no approval step before an automated delivery goes out. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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ZenlyticHuman Oversight & Guardrails People promote the dynamic fields Zoë creates to verified fields in the governed model, answers mark which fields are human approved, agent level permissions and access grants limit what Zoë can reach, and a Develop without Deploy role cannot push semantic layer changes to production. There is no step where a person approves an answer, a delivery or a tool action before it takes effect. Sourcedocs.zenlytic.com/administration/user_rolesread 2026-09-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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QuerioSecurity, Identity & Governance Querio lists AICPA SOC 2, GDPR, CCPA, HIPAA and ITAR, and has admin and member roles, role based access with audit logs, and advanced SSO and SCIM on Enterprise. Sourcequerio.ai/securityread 2026-09-28 |
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ZenlyticSecurity, Identity & Governance Zenlytic states it is SOC 2 Type II certified and HIPAA and GDPR compliant. Okta and Microsoft Entra SSO are supported with an SSO only login option, along with IP allowlisting, workspace groups and permissions, access grants and a role ladder from Organization Admin to Restricted. Sourcedocs.zenlytic.com/administration/user_rolesread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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QuerioObservability & Auditability Each explore records the agent's work as notebook cells of SQL and Python with their results, a History view lists past explores, the API returns a conversation's full message history, and audit logs are offered. Sourcedocs.querio.ai/analyze/cellsread 2026-09-28 |
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ZenlyticObservability & Auditability Run History keeps each proactive agent run's full conversation for inspection and troubleshooting, admins review all chats and feedback in one place, and each answer decompiles the SQL Zoë ran and marks which fields are human approved. A separate audit log is not described. Sourcedocs.zenlytic.com/proactive-agents/run-historyread 2026-09-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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QuerioDeployment & Data Residency Enterprise includes private deployment support and GovCloud. Self hosted deployments are planned with Querio's team around the customer's infrastructure and networking, and private infrastructure deployment is offered alongside the hosted cloud. Sourcedocs.querio.ai/admin/self-hostingread 2026-09-28 |
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ZenlyticDeployment & Data Residency The API has separate US and EU hosts (api-external.zenlytic.com and euapi-external.zenlytic.com), which suggests a choice of US or EU environment, and the homepage lists the lack of an in-VPC option as a gap in general assistants, implying Zenlytic offers one. Hosting is on AWS, and how a customer selects a region or a VPC deployment is not described. Sourcedocs.zenlytic.com/developers/api-reference/servers-and-authenticationread 2026-09-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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QuerioPrebuilt Agents, Templates & Packs Skills are reusable instructions for repeatable tasks (such as compare periods and data dictionary) that teams write and keep in the workspace, alongside saved layouts and boards. There are no packaged agents or template catalog. Sourcedocs.querio.ai/teach-querio/skillsread 2026-09-28 |
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ZenlyticPrebuilt Agents, Templates & Packs Teams publish their own Proactive Agents and Skills for others in the organization to reuse, and the Artifact Gallery shows example artifacts Zoë built, but no packaged agents or templates a customer adopts are offered. Sourcezenlytic.com/artifact-galleryread 2026-09-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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QuerioModel Flexibility & Routing Querio shows Claude alongside the product and says any agent can use Querio through MCP, API or CLI, which is outside assistants reading Querio. Customers have no model choice for Querio's own agent. Sourcequerio.airead 2026-09-28 |
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ZenlyticModel Flexibility & Routing Users pick the model from a dropdown in the chat, among Anthropic's Claude Sonnet 5 (the default) and Claude Sonnet 4.6 and OpenAI's GPT-5.6 Luna and GPT 5.1; no bring your own key is described. Sourcedocs.zenlytic.com/using-zenlytic/ai-model-selection-guideread 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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QuerioAPIs, SDKs & MCP Extensibility An API at app.querio.ai/api/v2 with bearer tokens starts and continues conversations, lists and fetches them with full history and returns table and chart assets. Plans include MCP and internal API access, and there is a CLI. Sourcedocs.querio.ai/embed/apiread 2026-09-28 |
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ZenlyticAPIs, SDKs & MCP Extensibility A REST API (v2, US and EU hosts, personal access tokens as bearer tokens) lists, creates and archives workspaces and manages members, groups, invites and attribute definitions. An MCP server at mcp.zenlytic.com, reached with OAuth or a token, exposes one read only ask_zoe tool that runs a Zoë conversation. Sourcedocs.zenlytic.com/developers/api-reference/servers-and-authenticationread 2026-09-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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QuerioTesting, Debugging & Optimization Automations can be test run before they are published, and users can inspect and edit the SQL and Python cells, which is checking and debugging. There is no test set, scored cases or evaluation of the agent across changes. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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ZenlyticTesting, Debugging & Optimization A proactive agent can be test run before it is published, admins review chats and user feedback to judge response quality, and an admin view shows questions answered on governed fields. There is no test set, scored cases or quality gate. Sourcedocs.zenlytic.com/interactive-demos/workspace-administration-for-admins/review-chats-and-feedbackread 2026-09-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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QuerioBrowser & Computer Use Work runs through warehouse connections, SQL and Python, and there is no browser, desktop or computer control. Sourcequerio.airead 2026-09-28 |
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ZenlyticBrowser & Computer Use Zoë works through warehouse connections, the semantic layer and MCP tools, with no browser, desktop or computer control. Sourcedocs.zenlytic.comread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | Q Querio |
Z Zenlytic |
|---|---|---|
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Entry price Lowest public entry point |
Startup $417 per month, billed $5,000 per year per workspace; free to start | Contact sales for a quote. A free trial is available. |
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Pricing confidence How public the numbers are |
Public, exact | Contact only |
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Billing Primary billing axis |
per workspace, billed annually, with an AI usage credit allowance | Per seat, plus query based usage and platform fees. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Sales call |
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