BI & dashboard platforms · Holistics

Holistics

Cloud BI platform built on a governed semantic-modeling layer for defining metrics once and exploring them self-service across any warehouse.

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Holistics is a cloud analytics platform organized around analytics-as-code: models, metrics, and dashboards are defined in AML, its own modeling language, and queried with AQL, then version-controlled in Git for branch-review-deploy workflows. The goal is a single governed layer of metric definitions that both point-and-click dashboards and natural-language/AI queries draw from, so numbers stay consistent regardless of how someone gets to them. Business users explore, slice, and drill through data without writing SQL or filing analyst tickets, while analytics engineers keep the underlying logic centralized and warehouse-agnostic (Snowflake, BigQuery, Databricks, Redshift). It also handles scheduled report delivery, alerts, and embedded white-labeled analytics. It suits data teams that want centralized, portable metric governance rather than being locked into one vendor's proprietary semantic layer.

At a glance

Vendor Holistics
Pricing model Subscription
Free tier No
Deployment Cloud
Open source No
Best for Data teams wanting centralized, code-managed metric definitions across warehouses without vendor lock-in to a single semantic layer.

Pricing

Per-organization monthly plans covering the first 10 users, cheaper when billed annually; a free trial is offered but there is no free tier.

Plan Price Notes
Entry $960/month ($800/month billed annually) First 10 users; 100 reports
Standard $1,200/month ($1,000/month billed annually) First 10 users; unlimited reports
Security Compliance Suite $2,400/month ($2,000/month billed annually) First 10 users; adds SSO/SAML, SCIM provisioning, IP whitelisting
Custom Custom Contact sales; embedded analytics priced separately

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Governed semantic layer defined in AML, Holistics' own modeling language
  • AQL query language for composable, reusable metric definitions
  • Git-based version control for models, metrics, and dashboards
  • Self-service drag-and-drop exploration for business users
  • Scheduled report delivery via email and Slack
  • Embedded, white-labeled analytics option
  • Row- and column-level access control
  • AI-assisted natural-language querying grounded in governed metric definitions

Integrations

Profile last reviewed September 21, 2026

Alternatives

Lightdash Open-source BI tool built on top of dbt, reading dbt models and metric definitions as its semantic layer for teams already using dbt. Looker Google Cloud's BI and embedded-analytics platform built on a governed LookML semantic layer with natural-language querying. Omni BI platform combining a governed semantic layer with ad hoc spreadsheet-style and SQL exploration in one tool. Mode SQL-first analytics workspace for analysts and data scientists, combining notebook-style SQL/Python with lightweight dashboards, now part of ThoughtSpot.

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Terms to know

Semantic layer A layer that defines business metrics and dimensions once, centrally, so every tool and report uses the same numbers. Self-service BI BI tooling that lets business users build their own reports and explore data without waiting on IT or analytics teams. Data modeling The practice of organizing data into entities, relationships and schemas that make it accurate and efficient to query. dbt (data build tool) An open-source tool from dbt Labs that lets analytics teams write data transformations as version-controlled, tested SQL. Dashboard A visual display of the metrics a team needs to monitor, usually updated on a schedule or in real time. Vendor lock-in The difficulty and cost of switching away from a vendor once an organization is deeply dependent on that vendor's proprietary systems.