dbt Labs is redefining how data teams work with SQL. Instead of waiting on complex ETL processes, dbt lets data analysts and data engineers build production-ready transformations directly in the warehouse, using code, version control, and CI/CD. This community-driven approach puts power back in the hands of practitioners while maintaining governance and scalability for enterprise use.
With a rapidly growing open-source community and an enterprise-grade cloud platform, dbt is at the heart of the modern data stack. It’s the go-to solution for teams who want faster analytics, higher quality data, and the confidence that comes from transparent, testable transformations.
Learn more

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
Learn more
Ilus AI
To quickly begin using our illustration generator, leveraging pre-existing models is the most efficient approach. However, if you wish to showcase a specific style or object that isn't included in these ready-made models, you have the option to customize your own by uploading between 5 to 15 illustrations. There are no restrictions on the fine-tuning process, making it applicable for illustrations, icons, or any other assets you might require. For more detailed information on fine-tuning, be sure to check our resources. The generated illustrations can be exported in both PNG and SVG formats. Fine-tuning enables you to adapt the stable-diffusion AI model to focus on a specific object or style, resulting in a new model that produces images tailored to those characteristics. It's essential to note that the quality of the fine-tuning will depend on the data you submit. Ideally, providing around 5 to 15 images is recommended, and these images should feature unique subjects without any distracting backgrounds or additional objects. Furthermore, to ensure compatibility for SVG export, the images should exclude gradients and shadows, although PNG formats can still accommodate those elements without issue. This process opens up endless possibilities for creating personalized and high-quality illustrations.
Learn more
OneTrust Data Use Governance
OneTrust Data Use Governance is an AI-ready data governance platform that enables organizations to manage, control, and govern how data is accessed and used across enterprise systems. The solution shifts organizations from manual, data-centric governance processes to policy-centric governance by connecting business policies directly with native controls in data and AI platforms. Instead of relying on lengthy approval workflows, OneTrust automates policy enforcement in real time to support faster, more consistent data access decisions. The platform uses AI-powered classification to analyze both structured and unstructured data while capturing business, regulatory, consent, and data context for machine-readable governance. Organizations can create purpose-based governance policies that are applied consistently from the beginning of data projects through ongoing operations. Machine-readable labels, centralized policy management, and automated enforcement help reduce governance bottlenecks while improving compliance across large-scale environments. The platform also supports auditing of data controls to demonstrate accountability and strengthen governance programs. Integrations with leading technology platforms and service partners allow organizations to extend governance across existing data ecosystems. By automating policy enforcement and enabling responsible data usage, OneTrust Data Use Governance helps enterprises prepare data for AI, analytics, and regulatory compliance.
Learn more