Quary
Quary is an open-source business intelligence and analytics platform for engineers that enables data transformation, modeling, and visualization directly in the browser.
http://www.quary.dev/
Product Information
Updated:Jun 16, 2025
Quary Monthly Traffic Trends
Quary received 79.0 visits last month, demonstrating a Significant Decline of -24%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Quary
Quary is a web-based analytics engineering platform founded in 2023 that brings the entire model-test-deploy workflow for data transformations into the browser. It connects to data warehouses and allows teams to collaboratively transform raw data into valuable insights. Quary aims to make data engineering more accessible by providing a unified interface for database workflows, version control, and automated documentation. The platform is built on a Rust core and includes both a browser-based interface and a CLI tool.
Key Features of Quary
Quary is an open-source business intelligence and analytics platform designed for engineers. It allows users to model, test, and deploy data transformations directly in the browser, connecting to various data warehouses. Quary features SQL-based modeling, automated documentation, version control, and collaborative querying, making it easier for teams to work with 'middle data' and transform it into valuable insights.
In-browser Analytics Engineering: Perform the entire model-test-deploy workflow within your web browser, eliminating the need for local setups.
SQL-based Modeling: Create data models using SQL, with features like autocomplete and referencing other models using the 'q.' prefix.
Automated Documentation: Automatically infer and generate documentation for models, including column descriptions and lineage.
Integrated Testing: Write and run assertions on your data to ensure models are working as expected.
Version Control: Built-in version control for tracking changes to models and documentation over time.
Use Cases of Quary
Data Transformation for Startups: Quickly set up and iterate on data models for growing startups without extensive data infrastructure.
Collaborative Analytics for Cross-functional Teams: Enable different team members to work together on data analysis and transformation projects.
Data Quality Assurance: Implement and maintain data quality checks across an organization's data pipeline.
Rapid Prototyping of Data Models: Quickly create and test new data models for business intelligence and reporting needs.
Pros
Browser-based workflow reduces setup time and improves accessibility
Open-source core allows for customization and community contributions
Integrated testing and documentation improve data reliability and understanding
Cons
May require a learning curve for teams not familiar with SQL-based modeling
Browser-based platform may have limitations compared to full local development environments
How to Use Quary
Install Quary: Download and install the Quary CLI by following the instructions on the Quary website or GitHub repository.
Initialize a project: Create a new directory for your project and run 'quary init' to initialize a sample Quary project with demo data and models.
Configure your database connection: Edit the quary.yaml file in your project root to specify your database connection details (e.g. Snowflake, BigQuery, or DuckDB).
Create models: Create .sql files in the models/ directory to define your data transformations using SQL. Use the 'q.' prefix to reference other models.
Add documentation: Add descriptions and column details for your models in the schema.yaml file to document your data.
Write tests: Define tests for your models in the schema.yaml file to ensure data quality and correctness.
Compile the project: Run 'quary compile' to validate the project structure and model references without connecting to the database.
Build models: Execute 'quary build' to run your models and create the transformed data in your target database.
Run tests: Use 'quary test' to run the defined tests against your database and verify data quality.
Create visualizations: Use the Quary web interface to create charts and dashboards based on your transformed data.
Quary FAQs
Quary is an open-source analytics/BI platform for engineers that allows teams to model, test and deploy data transformations directly in the browser.
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Analytics of Quary Website
Quary Traffic & Rankings
79
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Jul 2024-Jun 2025
Quary User Insights
-
Avg. Visit Duration
1.02
Pages Per Visit
33.86%
User Bounce Rate
Top Regions of Quary
Others: 100%
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