Frequently Asked Questions

Make sure you start the Source. You can start the Source on the Sources page or Source details page.

We support the major Data Warehouses, Object Storages, and Data Streams. We are constantly adding support for new sources. For supported Sources, refer to Sources.

Validio monitors actual data across data warehouses, object storage, and streams on:

• A dataset level: Validating aggregate metrics like mean or relative entropy.
• A datapoint level: Validating individual datapoints for outliers and anomalies.
• Metadata: Validating ancillary metrics like data volume and freshness.

We are always looking to extend our Validator capabilities.

If your use case requires a metric or a Validator that is currently not in the platform, reach out to us.

Validio is built in Rust for real-time processing and validation of individual datapoints in sub-second speed, this allows you to catch data failures as they arise even on data streams.

A metric refers to the quantity or statistics a Validator produces and ultimately what is being monitored. A Threshold can be applied to the metric to determine when the metric should be considered an anomaly.

Monitor metric examples: mean, standard deviation, mode, relative time between two timestamps.

For more information, refer to Validators.

We understand that deployment optionality is important for our customers, which is why we are offering two types of deployment options.

We recommend the managed solution for most of our customers since it releases valuable engineering time of managing the Validio platform.

In cases where data must not leave the customer's environment due to regulations or security issues, we also offer deployment in a customer's environment.

Yes, we are currently underway on getting listed on both GCP and AWS marketplaces.

If you are interested in early access, reach out to us!