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Holistics

Self-service BI and AI analytics on a code-defined semantic layer

AI DataResearched, not tested
AlternativesFull pricing
Pricing
paid
From
$800 a month
Free tier
No

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Best for

Data teams and analytics engineers who want governed self-service reporting and AI question-answering built on metrics defined once in code.

What it is

Holistics is a business intelligence platform built around a programmable semantic layer. Data teams define models, metrics and dashboards as code in AML, and business users then explore those governed datasets through a point-and-click interface or by asking questions in plain language. It also supports embedding white-labeled dashboards and AI question-answering inside a company's own product, with per-tenant permissions. It is aimed at data teams and analytics engineers who want self-service reporting without users writing SQL or producing numbers that disagree with the dashboards.

Best forData teams and analytics engineers who want governed self-service reporting and AI question-answering built on metrics defined once in code.

Features

  • AI analytics

    Users ask questions in plain language and get answers drawn from the governed semantic layer, including multi-step breakdowns and follow-up questions.

  • Self-service BI

    Business users slice, drill down and combine curated metrics without SQL, and can view the underlying rows behind a number.

  • Semantic layer and AQL

    Metrics and logic are defined once in AML and queried in AQL, where metrics compose on top of each other and compile to native SQL.

  • Analytics as-code

    Models, metrics and dashboards are defined as code with Git version control, branching, pull-request review and rollback.

  • Agentic BI development

    Coding agents such as Claude Code, Codex or Cursor can be pointed at the BI codebase, or the in-browser Development Copilot can be used.

  • Embedded analytics

    White-labeled dashboards and AI question-answering can be embedded in a company's own product with per-tenant security.

  • Data delivery and governance

    Email and Slack schedules, webhook alerts, CSV/Excel/PDF export, row and column permissions, SSO/SAML, SCIM, audit logs, SOC 2 and GDPR.

  • Data source connections

    Connects to Snowflake, BigQuery, Databricks, Redshift, dbt Core and Cloud, and others.

TL;DR

Holistics lets data teams define metrics once in a code-based semantic layer, then serves self-service BI, natural-language AI analytics and embedded dashboards from those same definitions.

Pros

  • •Metrics, models and dashboards are defined as code in AML with Git version control and pull-request review.
  • •The same semantic layer feeds dashboards, AI answers and embedded analytics, so numbers stay consistent across surfaces.
  • •The semantic layer can be queried from external tools such as Claude, ChatGPT and Cursor over MCP and APIs.
  • •Entry-level paid plan starts at $800/month on yearly billing and includes the first 10 users.
  • •SOC 2 and GDPR compliance, SSO/SAML, SCIM and audit logs are listed.

Cons

  • •No free plan is listed; the cheapest paid plan is $800/month on yearly billing.
  • •Every plan includes only the first 10 users, and additional users are charged as add-ons.
  • •Embedded analytics pricing is not published and requires contacting sales.
  • •The Entry plan caps usage at 100 reports.

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