Anomalo Data Quality

What do you like best about the product?

Automated data quality checks without needing manual rules.

ML-based anomaly detection learns normal patterns and flags issues early.

Easy integration with major data warehouses (Snowflake, BigQuery, etc.).

Clear root-cause analysis & alerts help teams quickly fix issues.

User-friendly dashboards for monitoring data health at scale.

What do you dislike about the product?

Cost can be high for smaller teams or startups.

Black-box ML models make it harder to understand how anomalies are detected.

Setup and tuning may require advanced data knowledge.

Limited customization compared to fully rule-based frameworks.

Heavy reliance on warehouse performance may slow monitoring for large datasets.

What problems is the product solving and how is that benefiting you?

Detects bad or missing data early → prevents faulty dashboards/ML models.

Automates data quality checks → reduces manual rule-writing and saves engineering time.

Identifies pipeline failures quickly → minimizes data downtime.

Finds unexpected changes in data trends → supports accurate business decisions.

Provides root-cause insights → speeds up monitoring & debugging.

What do you like best about the product?

I've been using Anomalo for spam detection for two years, and I really appreciate its easy setup and beginner-friendly interface, which is very helpful for newcomers. The main highlight for me is Anomalo's powerful machine learning capability to detect spam and anomalous behaviors, which has been a great asset in my work. I discovered Anomalo through social media and was immediately impressed by how effectively it serves my needs without the hassle of switching from another vendor. The integration with tools like Google BigQuery enhances its functionality, making my workflow more efficient. I also value the combination of Anomalo's good features and user-friendliness, which certainly makes it a product I would consider purchasing again. Overall, I find the technology behind Anomalo to be exceptional in helping me achieve my goals.

What do you dislike about the product?

I would like to change the pricing of Anomalo since the pricing is not very transparent and is on the higher side.

What problems is the product solving and how is that benefiting you?

I use Anomalo for spam detection, utilizing its machine learning capabilities to identify anomalous behaviors effectively, greatly helping in managing spam.

What do you like best about the product?

Users praise Anomalo most for its powerful, AI-driven anomaly detection that automatically monitors data without extensive manual configuration. Its automated root-cause analysis is also a key strength, saving significant time during data incidents

What do you dislike about the product?

Customers report that the data quality platform Anomalo has several notable drawbacks, including a high volume of unhelpful alerts, a non-transparent pricing structure, and a lack of certain advanced capabilities.

What problems is the product solving and how is that benefiting you?

Anomalo solves data quality problems for enterprises, particularly with large volumes of unstructured text, by using AI to automatically detect anomalies and their root causes, improving trust in data, accelerating AI/ML projects, and reducing operational burdens and costs associated with poor data quality. The benefit to users is increased confidence in their data, which leads to better decision-making, more reliable AI models, and freed-up resources for innovation rather than data firefighting.

What do you like best about the product?

We like that we can pick precisely what we want to watch and how we want to monitor it, all credit goes to the tool's capability to build up our own tests.

What do you dislike about the product?

Anomalo does not give us a clear understanding of the costs involved in running validations on the Data Warehouse.

What problems is the product solving and how is that benefiting you?

Anomalo has improved cooperation and involvement among our teams and provided us with insightful data that even non-technical business users can comprehend and apply.

What do you like best about the product?

Nice platform with useful features that gives a lot of anomaly detection flexibility

What do you dislike about the product?

sometimes there are to much features, would be nice to have a guided question to set test rules and validations

What problems is the product solving and how is that benefiting you?

Anomalo gives us the ability to see if there increase in nulls or drops in specific column and etc