Carve is a cloud-native data workflow platform designed to simplify the development, deployment, and management of data pipelines within Snowflake environments. By integrating Python, DBT, and SQL into a unified pipeline, Carve eliminates the need to coordinate jobs across multiple environments, allowing users to focus on building efficient data workflows without the overhead of managing infrastructure. Key Features and Functionality: - Unified Data Pipelines: Combine Python, DBT, and SQL seamlessly within a single platform, streamlining the creation and execution of data workflows. - Automated Data Cataloging: Automatically catalog all objects in your Snowflake instance, providing comprehensive insights into data usage, lineage, and quality. - Data Observability: Monitor data usage, quality, and lineage with built-in logging, alerting, and notifications, ensuring transparency and reliability in data operations. - Scalability and Ease of Use: As a fully SaaS solution, Carve offers a highly scalable and easy-to-manage environment, enabling rapid deployment and execution of data pipelines without the need for extensive infrastructure management. Primary Value and User Solutions: Carve addresses the challenges of fragmented and complex data workflow management by providing an all-in-one platform that simplifies the orchestration of data pipelines. By automating data cataloging and offering robust observability features, Carve empowers data professionals to efficiently manage the full data lifecycle, from development to execution, without the need for multiple tools or environments. This leads to significant time and cost savings, allowing teams to focus on deriving insights and value from their data.