MalloyMalloy streamlines data modeling and analysis with a clear, reusable language, revolutionizing how teams interact with data.

Malloy is a declarative data language that simplifies expressing data relationships and complex analytical transformations. It focuses on modeling data logic for clarity, reusability, and powerful querying.

Malloy is a new data language designed for expressing data relationships and transformations. Define your data models clearly and perform powerful analytical queries. Facilitates better understanding and reusability of data logic.

Not yet. This listing is compiled from the vendor’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.Malloy sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.

• Data Exploration and Analysis: Quickly explore and analyze complex datasets by defining relationships and transformations in a readable format.
• Building Reusable Data Logic: Create modular and reusable data logic that can be shared across different projects and teams, ensuring consistency.
• Data Transformation Pipelines: Define intricate data transformations programmatically, making ETL processes more manageable and understandable.
• Bridging Business and Technical Teams: Malloy's clear syntax can help bridge the communication gap between business analysts and data engineers.

• Data modeling language
• Transformation definition
• Query generation
• Schema management
• Integration with SQL databases
• Type safety
• Code reusability

Prices as of July 25, 2026, taken from Malloy’s public pricing page. Vendors change pricing without notice — check before you buy.

• Primarily focused on analytical transformations
• Integration requires compatible data sources

• dbt
• SQL
• Pandas

1. Visit the official Malloy website (malloydata.dev) to explore the documentation.
2. Install Malloy by following the provided installation guides for your operating system.
3. Start by defining a simple data model in Malloy and experiment with basic queries to understand its syntax.

Use a SynaBot assistant to produce the thinking, then move the output into Malloy for execution. Every SynaBot assistant is included with the platform membership.

• Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through Malloy.
• Business Planner (VIKRAM) — decides whether Malloy belongs in your stack and what it should replace.
• Project Manager (PACE) — turns the rollout of Malloy into owned, dated tasks.

Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.