# Anomalo Reviews **Vendor:** Anomalo **Category:** [Data Quality Tools](https://www.g2.com/categories/data-quality) **Average Rating:** 4.4/5.0 **Total Reviews:** 41 ## About Anomalo Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity. ## Anomalo Reviews ### 1. Anomalo is the best batteries included data monitoring solution we've come across **Rating:** 4.5/5.0 stars **Reviewed by:** Shashwat S. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 17, 2023 **What do you like best about Anomalo?** + As an administrator it was really easy to setup Anomalo on our existing infra and get it up and working quickly. This means that we could start finding value really quickly. We set Anomalo up with our k8s infra and it was fairly easy + Anomalo conistently finds small issues in our datasets and helps us identify the cause even before vendors detect them. We've pushed issues upstream multiple times when the data producer isn't aware of the issue yet + In the past, we've explored many different solutions for this problem and Anomalo has worked much better than all of our home grown solutions in terms of adoption as well as value-added + Anomalo UI is extremely easy and awesome to use. This makes it much easier for data analysts and non technical teammates to onboard and add custom checks vs creating a code change. + Anomalo's team has been incredibly responsive and helpful **What do you dislike about Anomalo?** - Checks are not very configurable. If a dataset gets a sudden increase in rows which is expected, Anomalo will alert 2-3 days before it learns the new normal - Anomalo's out of the box tests can be expensive(in runtime + cost of computing metrics). They scan all columns even the ones which might not be used anywhere resulting in some wasted work - Alerts can be noisy and its up to the team to make sure they have a process to work through each alert **What problems is Anomalo solving and how is that benefiting you?** Anomalo helps us figure out if our datasets are actually correct and match what we expect the data to be.This gives the data teams a lot more control over our datasets and allows us to scale how many datasets we work on without needing more engineers. ### 2. An excellent way to monitore data quality **Rating:** 4.5/5.0 stars **Reviewed by:** Tamiris C. | Enterprise (> 1000 emp.) **Reviewed Date:** May 16, 2023 **What do you like best about Anomalo?** Anomalo is a great tool for monitoring general data quality. Beyond the default metrics, like data freshness and availability, it's excellent to be able to configure custom verifications. To highlight some awesome features, the anomaly history is very useful for understanding the main variations in column statistics. In the custom possibilities, being able to configure alerts using multiple columns, multiple tables or SQL brings several monitoring configurations. **What do you dislike about Anomalo?** One limitation that can be mentioned is the impossibility of configuring a BigQuery wildcard table as one single table. The Google Analytics integration with BigQuery is an example; the data is saved in a wildcard table but monitoring the data quality of users' interaction with our website is essential, so it would be great to have this feature in Anomalo. **What problems is Anomalo solving and how is that benefiting you?** We usually use Anomalo for monitoring our main tables, which contain extremely important data that is used for financial purposes, for instance. It's extremely important to ensure the quality of our sales data because errors can cause problems for the company. We also use Anomalo for monitoring data that is used to feed our ML models, also to assure quality and be able to act over problems quickly. ### 3. Best tool for actionable insights directly interpretable by business users **Rating:** 4.5/5.0 stars **Reviewed by:** Lucas R. | Enterprise (> 1000 emp.) **Reviewed Date:** May 18, 2023 **What do you like best about Anomalo?** It's the best data quality/validation tool for engaging business users and developers. The Root Cause Analysis features provide us with better arguments when approaching developers and less work digging into what is causing data quality problems. **What do you dislike about Anomalo?** Customization needs to be more present. For use cases outside of the original tool, things can become infeasible. Also, it does not provide a precise view of collateral cost running validations of the Data Warehouse (which can be a problem in big projects with large tables). **What problems is Anomalo solving and how is that benefiting you?** We are detecting data quality issues and communicating them to engineering and business users. It benefits us by providing more engagement and collaboration among teams (product, data, engineering) to interpret and solve data incidents. ### 4. Anomalo is an easy-to-use and powerful data observability tool. **Rating:** 4.0/5.0 stars **Reviewed by:** Konrad B. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2023 **What do you like best about Anomalo?** Clear and intuitive interface Low entry threshold. Using Anomalo does not require many hours of study and training. Beautiful data graphs, very helpful when analyzing data and detecting any anomalies Setting up a new table takes 1 minute and there are 8 built-in checks right from the start There is a large variety of custom checks **What do you dislike about Anomalo?** In its simplicity, Anomalo sometimes seems to be limited and lacks certain functionalities. For example: - Tools and functionality to support multiple teams are missing, such as sending notifications for the same table to different destinations. Possibility of adding comments by different teams or tagging tables. - There are no tools to control the amount of scanned data (to be able to control costs) to decide whether a given table is worth keeping in Anomalo at all **What problems is Anomalo solving and how is that benefiting you?** Thanks to Anomalo and transparent charts from the Data Freshness and Data Volume sections, we were able to repeatedly detect data gaps for various days, including historical ones. In addition, we can clearly see any anomalies related to the amount of processed data for the table for a specific day. Anomalo gives us, the Data Engineers team, a sense of control and security. ### 5. Pulse Dashboard in Anomalo platform is pivotal for health checks & improving our data quality drives **Rating:** 4.0/5.0 stars **Reviewed by:** Rithika G. | Cloud Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** November 10, 2022 **What do you like best about Anomalo?** With Anomalo, we could easily focus on improving coverage for our important tables & passing metric checks. We can obtain a deep dive into any statistics so that we have clarity on what should be our priority. This also gives visibility to tables that impact our SLA by overviewing their data arrival time in our dashboard. **What do you dislike about Anomalo?** We have recently started using Anomalo to identify data impasses & determine its RCA quickly. We would like to have proper documentation for its features so that it would be easy for us to get familiar with its platform. We integrate Anomalo with our customer data warehouse to perform seamless data quality checks and regulate alerts in case of anomalies. **What problems is Anomalo solving and how is that benefiting you?** Anomalo's Pulse dashboard is brilliant in regard to unsupervised detection, where even slight change anomalies are determined in our customer datasets. We can conveniently devise our dynamic testing approaches irrespective of the data quality conditions in its platform. Investigation in case of production issues is also accurate as we can expand on any data structure in its Pulse dashboard. It also effectively prevents abnormal schema changes and dataset missouts which usually cause unwanted turmoils. ### 6. Best anomaly detection provider in the market right now **Rating:** 4.5/5.0 stars **Reviewed by:** Tom G. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2023 **What do you like best about Anomalo?** Integration with AWS Athena / Glue Good API for running operations and getting stats Very good visuals for non-technical people Helpful staff **What do you dislike about Anomalo?** Relatively early in their development Problems with nested structs / objects (not arrays) Possibly attempting too many integrations, some can be a bit buggy **What problems is Anomalo solving and how is that benefiting you?** Data quality issues at the cell level, helping us with our customers ### 7. Tailored to our requirements. **Rating:** 4.5/5.0 stars **Reviewed by:** Ashish T. | CEO, Internet, Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2023 **What do you like best about Anomalo?** 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 Anomalo?** Anomalo does not give us a clear understanding of the costs involved in running validations on the Data Warehouse. **What problems is Anomalo 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. ### 8. Anomalo has been incredibly useful to our team to catch issues before they impact Stakeholders **Rating:** 5.0/5.0 stars **Reviewed by:** Robert R. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2023 **What do you like best about Anomalo?** Easy to use UI, reliable scheduling and great support from the Anomalo team. **What do you dislike about Anomalo?** It's somewhat limited in what datasources checks are supported on. **What problems is Anomalo solving and how is that benefiting you?** Catching issues before they're noticed by stakeholders is essential to our success. ### 9. Anomalo monitors for all forms of volatility and rule violations in my warehouse **Rating:** 4.0/5.0 stars **Reviewed by:** Joseph B. | Director, Data Platform, Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2023 **What do you like best about Anomalo?** Straightforward and quick to implement. Transparent pricing. High ROI - the two tiers of monitoring give me a lot of bang for my buck. The main chunk of IP - their ML-based monitoring **What do you dislike about Anomalo?** It's very easy to create noise in your monitoring channels **What problems is Anomalo solving and how is that benefiting you?** Known fraud vector detection Unknown fraud vector detection Upstream semi-structure schema volatility ### 10. A simple data-observability tool. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2023 **What do you like best about Anomalo?** The major factor I loved about the tool is the simplicity of using it. The interface is super easy to use. The tool could be customised as per the usability of it and as per a user. **What do you dislike about Anomalo?** The tool's option to connect to different teams is a significant drawback. The device cannot control the scanned data, helping decide the table's credibility. Hope it gets resolved. **What problems is Anomalo solving and how is that benefiting you?** It helped majorly to detect the gaps between large data volumes.Clarity over different anamolies was a pleasure using the tool. And to add again the simplicity of the tool helped when it came to understanding the entire use of the tool. ## Anomalo Discussions - [What is Anomalo used for?](https://www.g2.com/discussions/what-is-anomalo-used-for) - [View Anomalo pricing details and edition comparison](https://www.g2.com/products/anomalo/reviews/anomalo-review-7812517?section=pricing&secure%5Bexpires_at%5D=2026-05-30+19%3A02%3A16+-0500&secure%5Bsession_id%5D=51b30a55-7735-4294-80f2-8fe64d56fb3f&secure%5Btoken%5D=04da76052c036f82b99c576aa94b0e79c413242e21613ac0c9f8411ab0bfe229&format=llm_user) ## Anomalo Features **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Data Connectivity and Prep - Agentic Analytics** - Data Source Connectivity - Automated Data Preparation **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Agentic AI - Database Monitoring** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Autonomous Insight Generation - Agentic Analytics** - Continuous Pattern Detection - Multi‑Step Reasoning - Predictive & Prescriptive Analytics **Generative AI** - AI Text Generation **Interaction and Workflow - Agentic Analytics** - Natural Language Query and Conversational Analytics - Action Triggering & Workflow Orchestration - Explainability & Audit Trails **Functionality** - Identification - Preventative Cleaning - Data Matching **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **AI Agent Management - Agentic Analytics** - Agent Configuration & Goals - Continuous Learning & Feedback **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization ## Top Anomalo Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (519 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (694 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,231 reviews)