DataOps.live provides automated data testing and orchestrated data pipelines to enhance the productivity of data engineering teams. By transforming data into products, the platform addresses the inefficiencies of reactive project approaches, enabling faster development and reliable data delivery.
Funding
$17.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data engineering teams face challenges in keeping pace with business demands due to reactive project approaches that lead to slow data delivery and duplicated efforts. Managing Snowflake infrastructure, orchestrating data pipelines, and ensuring data quality across various tools and products can be complex and inefficient.
Solution
DataOps.live offers a platform designed to enhance data engineering productivity by enabling a shift from data projects to data products. The platform automates Snowflake infrastructure management, allowing users to manage it as code. It also facilitates the orchestration of end-to-end pipelines, whether built within DataOps.live or by integrating existing tools for data ingestion, modeling, and testing. Furthermore, DataOps.live supports federated deployment for scalable data engineering, leveraging design patterns like Data Mesh or Data Vault. The platform provides comprehensive observability, unifying operational metadata to offer a 360-degree view of data products, ensuring data assurance and reducing overall costs.
Target Audience
The primary target audience includes data engineers, database administrators, data product owners, and data leaders seeking to improve productivity, ensure data quality, and drive value from data assets.
Features
- Environment automation for managing Snowflake infrastructure as code
- Pipeline orchestration to build end-to-end pipelines or integrate existing tools
- Federated deployment to deliver data engineering at scale, supporting Data Mesh and Data Vault
- Comprehensive observability for a 360-degree perspective on data products
- Dynamic Transformation to accelerate dbt™ projects with pipeline automation, governance, and automated testing
- Dynamic Delivery to accelerate CI/CD pipelines with faster design, governance enforcement, and automated testing and validation
- Native Apps for Snowflake to simplify development, testing, and deployment
- Automated testing and validation across environments