DataCheck

DataCheck is a data quality tool that validates data using YAML configurations and a command-line interface. It helps ensure clean data in pipelines through deterministic rules and fail-fast validation.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is DataCheck?

DataCheck is a data quality tool designed to validate data efficiently. It leverages YAML configurations for defining validation rules and operates via a command-line interface (CLI). Key functionalities include the ability to auto-generate validation rules directly from existing data, and its capacity to validate data across various sources, including files and databases. DataCheck is built to integrate seamlessly into CI/CD pipelines, promoting a fail-fast approach to data quality. Its primary goal is to maintain data integrity and cleanliness throughout data pipelines by applying deterministic validation rules.

Best used for

Ensuring high data quality and integrity within data pipelines through automated and configurable validation processes.

Common actions

Validate data

Ensure data quality

Automate data checks

Integrate data validation

Maintain data integrity

GitHubDeveloper Toolsdataopen-source

Capabilities

Key features

YAML configuration
CLI operation
Auto-generates rules
Validates files & databases
CI/CD integration

Target Audience

Data EngineersDevelopersDevOps EngineersData Analysts

Integrations

Not yet documented

Pricing & Plans

unknown

Not publicly disclosed. Check https://datacheck.squrtech.com/ for current pricing.

FAQs

Can DataCheck automatically generate validation rules for complex data structures or only simple ones?

DataCheck can auto-generate rules from existing data, which is highly beneficial for initial setup. While it handles various structures, complex, nuanced business rules might still require manual refinement within the YAML configuration for optimal precision.

What types of databases and file formats does DataCheck support for validation?

DataCheck is designed to validate data across various sources, including common file formats (e.g., CSV, JSON, Parquet) and popular databases. Specific connectors or drivers might be required depending on the database technology, which can be configured via YAML.

How does DataCheck integrate into existing CI/CD pipelines, and what are the typical integration points?

DataCheck operates via a command-line interface (CLI), making it straightforward to integrate into CI/CD pipelines. You can add DataCheck commands as steps in your pipeline to run validations automatically before data is processed or deployed, failing the build if data quality issues are detected.

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Coding & Development › DevOps & Infrastructure

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