Sold by: Anomalo
Deployed on AWS
Anomalo's Data Quality Monitoring uses automated AI to detect data quality issues and understand their root causes, before anyone else. Detect, root cause, and resolve issues found in the data driving your business.
4.4
Overview
Go beyond data observability with deep data quality monitoring you can trust.
- Powerful data quality checks that use unsupervised machine learning
- Automatically identify missing and anomalous data
- Easy for everyone, API or no-code configuration
- Deep monitoring that looks inside your tables
Highlights
- Powerful data quality checks that use unsupervised machine learning
- Automatically identify missing and anomalous data
- Easy for everyone, API or no-code configuration
Details
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Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/12 months |
|---|---|
units | $1.00 |
Dimensions summary
This listing uses a single contract-based pricing dimension billed in units. You buy a quantity of units for a fixed contract term rather than paying per hour or by direct usage. Your total cost scales with the number of units you commit to. This structure covers access to Anomalo's automated data quality monitoring, which scales across datasets and connects to the data platforms your team already uses. Because pricing is a single unit-based dimension, there are no separate tiers or add-on options to choose from. Contact the vendor to size the right unit quantity for your needs.
Top-of-mind questions for buyers
The marketplace listing bills in units under a contract, but does not define what a single unit maps to in concrete terms. Anomalo monitors data quality across tables and datasets, so a unit may relate to monitoring scope. Contact the vendor to confirm exactly how units are counted for your environment.
You commit to a fixed quantity of units for the contract term. Your total cost scales with the number of units you purchase upfront, not with real-time usage. If your monitoring scope grows beyond your committed units, work with the vendor to size and adjust your quantity.
Anomalo works across your data stack and connects to the tools your team already uses, giving one unified view regardless of where data lives. These connections are part of the platform your unit-based contract provides. Most integrations set up directly inside the platform interface with a few clicks.
www.anomalo.com+1
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Customer reviews
Ronny B.
Anomalo Makes Proactive Data Quality Easy with Smart Issue Detection
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
Anomalo excels at automatically detecting and diagnosing data issues using machine learning, without requiring manual setup. Its seamless integration with data warehouses and user-friendly interface make it a powerful tool for ensuring proactive and reliable data quality.
What do you dislike about the product?
Some users may find Anomalo’s machine learning models require fine-tuning to align perfectly with specific business needs. Additionally, its advanced features might have a learning curve for teams unfamiliar with data quality platforms.
What problems is the product solving and how is that benefiting you?
Anomalo solves the challenge of ensuring data quality by automatically detecting anomalies and diagnosing issues across datasets. This proactive approach helps maintain trust in data, reduces manual effort, and ensures reliable insights for better decision-making.
Sanjay M.
Automated Data Quality with Hidden Cloud Costs
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
Instead of just checking metadata (like file arrivals or basic row counts), Anomalo applies unsupervised machine learning directly to individual data records
What do you dislike about the product?
Anomalo is powerful for catching unexpected data errors using machine learning without manual rules. However, its deep-record querying can spike your cloud warehouse costs, it lacks real-time streaming support, and it struggles with alert fatigue on seasonal data shifts.
What problems is the product solving and how is that benefiting you?
Anomalo solves undetected data corruption and eliminates manual SQL check maintenance. This benefits me by saving engineering time on pipeline debugging, preventing broken executive dashboards, and stopping toxic or corrupted data from polluting your generative AI and machine learning models.
Pranjali B.
Proactive Anomaly Detection That Saves Time and Boosts Data Confidence
Reviewed on Jun 18, 2026
Review provided by G2
What do you like best about the product?
The biggest benefit for me has been the time savings. Instead of manually monitoring datasets or waiting for someone to notice an issue in a dashboard, Anomalo flags unusual patterns proactively. It has helped us catch data problems before they impacted reporting, which has increased confidence in our data.
What do you dislike about the product?
I would appreciate more customization options in specific dashboards and reporting views. The current functionality is effective, but added flexibility would allow for a more tailored experience to meet the needs of individual teams.
What problems is the product solving and how is that benefiting you?
Anomalo is assisting us in addressing challenges related to data reliability and quality. By proactively detecting anomalies and data issues, it facilitates faster troubleshooting and prevents inaccurate data from reaching our dashboards and business users. This allows us to spend less time on reactive investigations and instills greater confidence in our analytics.
Ashish T.
Tailored to our requirements.
Reviewed on Jun 11, 2023
Review provided by G2
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.
Internet
Using anomalo for anomaly detection
Reviewed on May 22, 2023
Review provided by G2
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