Anomalo

What Anomalo is

Anomalo is a web-based data anomaly detection product that uses machine learning to identify unusual patterns across several kinds of data. It supports structured, semi-structured and unstructured data, including tables and documents, so it can be considered for workflows that span more than one data format. Anomaly explanations are available, giving users information about detected irregularities. Anomalo supports hybrid deployment, which can suit organizations that need a deployment approach combining environments. The product is based in Palo Alto, California, United States. Anomalo is paid software, with pricing available on request, and a 30-day trial is offered. Its listed platform is the web, so the product is accessed through that platform. The published facts describe its detection method, supported data types, deployment option and explanations, making those useful points to weigh when deciding whether it fits a data monitoring workflow. Buyers can ask for pricing and consider the trial when assessing the product.

Who it suits

Anomalo suits teams looking to detect anomalies across structured, semi-structured or unstructured data, including tables and documents. It may also suit organizations that want anomaly explanations and a hybrid deployment option.

Limits

The listed trial lasts 30 days. Pricing is available on request.

Getting started

1. Visit the Anomalo website.
2. Use the web platform.
3. Ask Anomalo for pricing.
4. Consider the 30-day trial.

Verdict

Choose Anomalo if you need machine-learning anomaly detection across several data formats and value anomaly explanations or hybrid deployment. Buyers who need a published price should consider that pricing is provided on request.