Monte Carlo: Establishing Trust through Data Observability
Data observability is your company’s ability to fully understand the health of the data in its systems. Healthy—high-quality, reliable, and trusted—data starts with the ability to monitor and understand the five pillars of data observability at each stage of the pipeline: Freshness, Distribution, Volume, Schema, and Lineage.
Monte Carlo's data observability platform connects to your existing data stack quickly and seamlessly to monitor for freshness, distribution, volume, and schema changes continuously, and immediately notifies stakeholders once data incidents are detected.
With end-to-end visibility, our data observability platform generates insights that help data teams change and modify tables and schema responsibly, manage storage and compute costs, and make smarter data architecture decisions.