Holistics Review, Pricing & Features

Holistics is a Singapore-based BI platform with a code-based semantic layer, AI natural language analytics, and dashboards from $800/month.

Category
Business Intelligence
Pricing
Subscription, from $960/month (billed monthly); $800/month billed annually
Verified
Not yet
Last updated
July 20, 2026
Founded
2015
Headquarters
Singapore
Web AppAPIAI

What Is Holistics?

Holistics is a business intelligence platform founded in 2015 and based in Singapore. It is built around the idea that a single, code-defined semantic layer should power both AI-generated answers and traditional point-and-click dashboards, so both routes to an answer stay consistent.

The platform serves data teams that want to define metrics, models, and business logic once, in code, and expose them safely to non-technical business users through self-service dashboards, natural language queries, and embedded analytics.

Key Features

Holistics' semantic layer is defined using AML (Analytics Markup Language) and queried with AQL, giving data teams a single, git-versioned source of truth for metrics that dashboards, APIs, and AI features all draw from. Changes go through pull request review before reaching production, similar to standard software development workflows.

On top of that layer, business users get drag-and-drop metric exploration, drill-down and drill-through into underlying rows, and an AI analytics assistant that answers natural language questions, summarizes dashboards, and asks clarifying questions when a request is ambiguous. Holistics also supports white-labeled, embedded analytics with per-tenant security for customer-facing products.

Holistics Pricing

Holistics' Entry plan starts at $960/month billed monthly, or $800/month billed annually, and includes 100 reports, the first 10 users, core self-service analytics, and dbt integration. The Standard plan raises this to $1,200/month (or $1,000/month annually) and adds unlimited reports, custom charts, and Google SSO.

A Security Compliance Suite is available at $2,400/month ($2,000/month annually) for organizations that need role-based access control, SAML SSO, SCIM provisioning, and user activity monitoring. Additional users and reports can be added to any plan for a per-unit fee, and fully custom and embedded analytics pricing is available for larger deployments.

Key Features

Pros & Cons

Pros

  • Single semantic layer keeps AI answers and manual dashboards consistent
  • Analytics-as-code workflow with Git and pull requests fits engineering practices
  • AI assistant reduces reliance on analysts for routine questions
  • Embedded analytics option supports customer-facing use cases
  • Used by established companies including NASDAQ-listed Aurora

Cons

  • Entry pricing starts at $800 to $960 per month, higher than many self-serve BI tools
  • Learning AML and AQL adds a learning curve for teams new to code-based BI
  • Advanced security features (SSO, SCIM, RBAC) are locked behind the highest-priced tier
  • Best suited to teams with existing data engineering capacity to maintain the semantic layer

Pricing

Frequently Asked Questions

How much does Holistics cost?

Holistics' Entry plan starts at $960/month billed monthly or $800/month billed annually, covering 100 reports and 10 users. Standard and Security Compliance Suite plans cost more, and custom pricing is available for larger deployments.

Where is Holistics based?

Holistics is headquartered in Singapore and was founded in 2015.

Does Holistics support AI-generated answers?

Yes, its AI analytics feature lets users ask questions in natural language and returns answers drawn from the same semantic layer used by dashboards.

Can Holistics be embedded into another product?

Yes, Holistics offers white-labeled embedded analytics with per-tenant security enforcement for customer-facing applications.

Does Holistics require SQL knowledge?

No, business users can explore data through drag-and-drop dashboards and natural language queries without writing SQL, though the underlying semantic layer is built by data teams using code.

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