Question: I need a scalable and reliable way to add strong provenance to my data, what options are available?

For a scalable and reliable way to add strong provenance to your data, check out DataTrails. This platform provides transparent and tamper-evident audit trails that help ensure the authenticity and integrity of digital content and data. It's geared for responsible AI, media authenticity, and chain of custody, and it offers advantages like immutable audit trails and verifiable provenance. The platform has an easy-to-use interface, API integrations, and a REST API for customization, and pricing includes a 30-day free trial and enterprise-grade security policies.

Another great option is Irys, an information retrieval system that helps add accountability to all information by tracing and verifying the origin of data. It provides a scalable and reliable provenance layer that means data is permanent, precise, and unbound. Irys supports multiple tokens and stores data permanently on Arweave, and it offers instant and volumetrically scalable uploads. That makes it a good choice for projects that require high precision and permanence, like social media feeds or mutable references.

Secoda is an end-to-end data management platform that combines data catalog, lineage, governance and monitoring. It includes features like AI-powered search, automated workflows and a data requests portal for fast and contextual search across all data sources. Secoda integrates with popular data tools and has strong security options, so it's a good option for data teams looking for a single tool to improve data governance and productivity.

For a data observability focus, Metaplane offers automated end-to-end data observability with ML-based monitoring and anomaly detection. It also includes features like data CI/CD, column-level lineage, real-time schema change alerts and job monitoring. The platform is designed to reduce the time spent on triaging data quality problems, increase data trust and improve collaboration, so it's a good option for data teams of any size.