Malloy alternatives

3 tools to consider instead of Malloy, shown against it.

Malloy Cube AtScale dbt
Vendor Malloy Data (a Series of LF Projects, LLC) Cube Dev, Inc. AtScale, Inc. dbt Labs
Pricing model Open source + paid options Subscription Quote only Open source + paid options
Free tier Yes Yes No Yes
Deployment Self-hosted Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted
Open source Yes (Apache-2.0) Yes (Apache-2.0) No Yes (Apache-2.0)
Best for Analytics engineers who want reusable, DRY data models without adopting a full semantic-layer service. Teams needing one governed metric definition served consistently across multiple BI tools and applications. Enterprises running several BI tools against one warehouse who need one governed set of metrics and faster query performance. Analytics engineers turning raw warehouse tables into tested, documented models the whole company queries.
Pricing

Malloy is a free, open-source language and toolchain with no vendor-hosted product or pricing page.

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

Cube Core is free to self-host; Cube Cloud is priced per developer per month with an Enterprise tier for larger deployments.

Free $0
Starter $40/developer/month
Premium $80/developer/month
Enterprise Custom pricing

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

AtScale prices by 'Deployed Semantic Objects' (governed metrics and dimensions) rather than seats or queries; no dollar figures are published.

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

dbt Core is free and open source; the hosted platform is free for one developer, then priced per user with custom pricing above that.

Developer Free
Starter $100 per user/month
Enterprise Custom pricing
Enterprise+ Custom pricing

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

Features
  • Reusable semantic models (sources, joins, named measures/dimensions)
  • Compiles to standard SQL for the target database
  • Concise, composable query syntax as a SQL alternative
  • VS Code extension for interactive data exploration
  • CLI and JavaScript library for embedding in applications
  • Broad SQL-engine support (BigQuery, Snowflake, DuckDB, Databricks, and more)
  • Headless, API-first semantic layer (SQL, REST, GraphQL)
  • Data modeling in YAML or JavaScript/Python
  • Pre-aggregations for query acceleration and cost control
  • Row- and column-level access control
  • Compatible with any BI tool via its SQL API
  • Caching layer independent of the source warehouse
  • Visual modeling and orchestration UI in Cube Cloud
  • Warehouse-native semantic modeling (no data movement)
  • Virtual cubes queryable via SQL, MDX, or REST
  • Automatic aggregate-table management for query acceleration
  • Consumption pricing based on deployed metrics, not seats
  • Compatible with Tableau, Power BI, Excel, and custom apps
  • Multi-cloud warehouse support (Snowflake, Databricks, BigQuery, Redshift)
  • Centralized governance for metric definitions
  • SQL models compiled and run in dependency order
  • Data tests on columns and relationships
  • Generated documentation and column-level lineage
  • Jinja templating and reusable macros
  • Incremental models for large tables
  • Package manager for shared code
  • Semantic layer for shared metric definitions (platform)

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