Sled provides an All-in-One Data Governance solution for Snowflake, enabling the extraction of metadata and usage data that traditional data catalog solutions cannot access. This technology enhances data trust and usability by automating data profiling, monitoring data quality, and establishing a single source of truth for metrics.
Funding
Funding not disclosed
Founders
Product
Problem
Data teams struggle to discover, understand, and trust data assets within Snowflake, hindering effective data governance and analytics adoption. Traditional data catalogs often fail to capture the metadata and usage patterns specific to Snowflake, resulting in incomplete or inaccurate data insights. This lack of visibility leads to inconsistent metrics, data quality issues, and reduced confidence in data-driven decision-making.
Solution
Sled provides an all-in-one data governance solution designed specifically for Snowflake, offering a comprehensive data catalog, data observability, and metric store. The platform automatically extracts metadata and usage data from Snowflake, providing a single source of truth for data assets. Sled enables data teams to easily discover tables, columns, and dashboards with a fast, typo-tolerant search, while also automating documentation and data profiling. Data observability features monitor data freshness, volume, and schema changes, and automated data lineage tracks data flows across systems. The metric store allows users to define, document, and share consistent key performance indicators (KPIs) that can be consumed directly from Snowflake using SQL.
Target Audience
Sled is designed for data engineers, data analysts, and data governance professionals who use Snowflake and need to improve data discovery, trust, and usability within their organizations.
Features
- Automated data catalog with blazing-fast search and typo correction
- Data lineage visualization at the column level
- Automated data profiling to understand underlying data
- Data observability to monitor freshness, volume, and schema changes
- Automated data quality checks based on historical metadata
- Metric store for defining and sharing a single source of truth for metrics
- No-code integrations with tools like Tableau, DBT, PowerBI, and Looker
- REST API for automation and custom integrations
- Single sign-on (SSO) integration with Snowflake
- Cloud-hosted or self-hosted deployment options