Holistics alternatives

4 tools to consider instead of Holistics, shown against it.

Holistics Lightdash Looker Omni Mode
Vendor Holistics Lightdash Google LLC (Google Cloud) Omni Analytics, Inc. ThoughtSpot Inc.
Pricing model Subscription Open source + paid options Quote only Quote only Quote only
Free tier No Yes No No No
Deployment Cloud Cloud, Self-hosted Cloud Cloud Cloud
Open source No Yes (MIT) No No No
Best for Data teams wanting centralized, code-managed metric definitions across warehouses without vendor lock-in to a single semantic layer. Analytics engineering teams already standardized on dbt who want BI that reuses dbt's metric definitions instead of a second modeling layer. Enterprises wanting a governed, centrally modeled semantic layer for BI and embedded analytics. Data teams that want one tool spanning governed, modeled BI and business-user self-service exploration instead of running separate products. Data analysts and data scientists who want to write SQL/Python and publish that analysis directly, rather than rebuild it in a separate BI tool.
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.

Entry $960/month ($800/month billed annually)
Standard $1,200/month ($1,000/month billed annually)
Security Compliance Suite $2,400/month ($2,000/month billed annually)
Custom Custom

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

The self-hosted open-source edition is free; Cloud Pro is a flat monthly fee with no per-seat pricing, plus metered data-loading costs, and Enterprise is custom.

Open Source Free
Cloud Pro $3,000/month
Enterprise Custom (contact sales)

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

Looker pricing has platform and per-user components; every edition and user license requires contacting Google Cloud sales for a quote.

Checked on the vendor's own page on September 19, 2026: no prices are published. Expect to be quoted.

Omni does not publish self-serve pricing; plans are quoted after a demo, based on user count and deployment needs. A free trial is offered.

Pricing has not been verified yet — see the vendor's site.

Mode's pricing page shows no self-service tiers or figures; it offers a free trial and directs prospective customers to request a demo/quote.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

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
  • Reads dbt models and metric definitions as the semantic layer
  • Version-controlled metrics via dbt (no separate modeling layer)
  • Spreadsheet-like exploration over governed metrics
  • Scheduled dashboard deliveries and alerts
  • Self-hosted (Docker) or managed Cloud deployment
  • AI agents for querying
  • Embedding options
  • Governed semantic layer defined in LookML
  • Conversational Analytics (natural-language querying via Gemini)
  • Embedded analytics via APIs and SDKs
  • Self-service dashboards and exploration
  • Scheduled reports and alerts
  • Broad SQL dialect support (BigQuery, Snowflake, Redshift, Databricks)
  • Developer, Standard, and Viewer user role types
  • Governed semantic layer shared across users
  • Ad hoc spreadsheet-style exploration on top of modeled data
  • SQL editor for direct querying
  • AI assistant grounded in the semantic layer
  • Live warehouse queries with intelligent caching
  • Promote ad hoc exploration back into the shared model
  • Embedded analytics
  • Interactive dashboards
  • SQL editor with notebook-style workflow
  • Python support for advanced analysis
  • Reusable, explorable datasets shared across analysts
  • Visual Explorer for drag-and-drop chart building on query results
  • Lightweight dashboards and self-serve reporting on top of SQL results
  • AI Assist for query/analysis help
  • Now integrated with ThoughtSpot's Analyst Studio and semantic layer

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