--- title: Anomalo Reviews meta_title: 'Anomalo Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 44 reviews by the users' company size, role or industry to find out how Anomalo works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 44 scale: '5' date_modified: '2026-08-09' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Anomalo Reviews **Vendor:** Anomalo **Category:** [Data Quality Tools](https://www.g2.com/categories/data-quality) **Average Rating:** 4.4/5.0 **Total Reviews:** 44 ## 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 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. ### 2. 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. ### 3. 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 ### 4. Using anomalo for anomaly detection **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2023 **What do you like best about Anomalo?** Nice platform with useful features that gives a lot of anomaly detection flexibility **What do you dislike about Anomalo?** sometimes there are to much features, would be nice to have a guided question to set test rules and validations **What problems is Anomalo 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 ### 5. Anomalo provides a great solution for data teams to monitor data quality **Rating:** 4.0/5.0 stars **Reviewed by:** Zhongxia Z. | Engineering Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** May 31, 2022 **What do you like best about Anomalo?** - Anomalo provides a solution that we can easily integrate with our data stores (Snowflake, Databricks Delta) and immediately start to configure data quality checks for all the tables that we care about. - Anomalo in general is very easy to use, yet it is also comprehensive. It allows us to configure almost any key metrics and validation rules in SQL based on what we need to monitor for data quality. It provides integration with Okta, Slack, PagerDuty which are the tech stacks that we use in Opendoor, therefore onboarding Anomalo is quite a smooth experience. - In addition to the UI, Anomalo also provides a Python SDK which enables a ton of flexibility to integrate Anomalo into building data pipelines and triggering data quality checks on the fly. - Anomalo's team has been quite responsive to our questions and requests. We have regular office hours to meet with Anomalo's team to discuss questions and so far it has been very helpful every time. **What do you dislike about Anomalo?** - The way that Anomalo presents the metric results can potentially be improved. One significant inconvenient issue that we observed, is that if there is a table has a lot of "segments", then any metrics graph based on segment is pretty hard to digest because the segments and their metric values are not sorted based on segment names. The segment names are also not searchable because the metric graph is an image. - Anomalo UI user experience can be further improved. Sometimes these use cases can be hard to find out unless Anomalo's team really understands how the customer is using the solution. For example, there is currently not a great way to view the history of a single check. The best thing to do is to go to the URL /dashboard/check_runs//runs?sort=-started_at but notice that there is a "" in the URL instead of a "". This means that the history is showing all the runs for a particular check up to the run_id specified in the URL, and therefore there is not a stable URL to see the history. - Anomalo doesn't have a solution for data lineage visualization yet. While this is not super critical in my company (other than sometimes we need to know if deleting a table could cause any downstream impact), it can be an important functionality that is needed for other companies. Some companies in the data observability area provides lineage such as Monte Carlo. **What problems is Anomalo solving and how is that benefiting you?** Anomalo is solving our team's growing needs to monitor data quality. Our team previously tried solutions such as Great Expectations, but it is not super flexible (e.g. the threshold of whether there is a data quality issue or not has to be hardcoded) and it requires writing code to configure data quality checks. Our team has just started configuring Anomalo for all our production tables and we are confident that it will bring very positive benefits. ### 6. Still in its early stages but a great product considering where it's at **Rating:** 4.0/5.0 stars **Reviewed by:** Sam G. | Analytics Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 31, 2022 **What do you like best about Anomalo?** Automated anomaly detection makes my life as a data engineering professional way easier, especially managing high-visibility datasets where important failures are not just a matter of the ETL failing, but of the contents of the table changing meaningfully. It's super easy to set up good alerts that detect all kinds of undesired changes or issues in the data. The UI is very intuitive and clear. The reporting/analysis tools are excellent. The triage system is simple but effective. **What do you dislike about Anomalo?** A lot of features outside of the core anomaly detection piece are under-developed and make the tool less useful than it could/will be. Ideally you could send alerts to more than one slack channel or destinations outside of Slack using just the UI. The API is clumsy (ex. it's very difficult to update just one parameter in the config for a table with an existing config) and not fully documented. Datadog integration is a dealbreaker for some teams. **Recommendations to others considering Anomalo:** Save google sheets with table config IDs when building configs! **What problems is Anomalo solving and how is that benefiting you?** With the Great Resignation and hypergrowth in a until-recently-start-up environment, there is more data at our company than can be easily monitored for quality without good tooling. Before Anomalo the tooling we had only covered failures in ETLs and very basic issues like if there was an unexpectedly small number of records in a table. Anomalo has made our whole team more efficient by identifying more kinds of issues automatically. ### 7. Great Data Anomaly Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 17, 2022 **What do you like best about Anomalo?** I like how consistent Anomalo is at being able to monitor and alert us about any discrepancies that stand out. You're also able to adjust the threshold making it more or less noisy depending on how important the check is. Anomalo has definitely helped my team be more proactive in catching issues. **What do you dislike about Anomalo?** It can be a bit annoying configuring all the tables since you need to configure each one manually. But at the moment I'm not experiencing any pain points that could not be resolved by the Anomalo team **Recommendations to others considering Anomalo:** If you would like to automate data discrepancy/anomaly checks and work with a responsive support team, I would definitely reccomend Anomalo **What problems is Anomalo solving and how is that benefiting you?** We're solving the issue of data anomalies and data discrepancies with Anomalo. Our team was always reactive but since utilizing Anomalo, we have been more proactive in catching issues before the issues reach out stakeholders ### 8. Powerful Anomaly Detection Tool with Simple UI **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2022 **What do you like best about Anomalo?** Anomalo is a lightweight solution to identify issues with data pipelines as well as "anamolous" events in our data. Setting up appropriate alerts allows for "hands-off" monitoring and for increased visibility into our data with the same resources. **What do you dislike about Anomalo?** Anomaly detection right now seems to be based around a single time series algorithm, in which a trend is assumed with some constant noise. That anomaly detection algorithm doesn't work well now when adding in too much sampling error (i.e., observations based on small n). **What problems is Anomalo solving and how is that benefiting you?** * Anomalo has successfully detected suspicious activity in our platform, giving us the confidence to use it for this purpose in the future. * Anomalo alerts us to failures in data pipelines. * Anomalo is allowing us greater coverage in our analytics, not requiring that a user manual view key metrics on our platform. ### 9. Anomalo Data Quality Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Restaurants | Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2022 **What do you like best about Anomalo?** Administration. Previously worked on another vendor's data quality tool which required constant attention. Anomalo's architecture freed me up to do other things. **What do you dislike about Anomalo?** I didn't encounter any dislikes with Anomalo. **What problems is Anomalo solving and how is that benefiting you?** It is helping to expose some gaps we have in storing data, specifically around audit columns (i.e create_date and last_update_date). ### 10. Improving data quality through Anomalo **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** May 31, 2022 **What do you like best about Anomalo?** - Out-of-the-box data quality checks such as freshness, anomalous changes to record counts and nulls, and more. - Integration with PagerDuty - Auto-visualizations **What do you dislike about Anomalo?** - Adding more validation checks and duplicating across tables are more manual than I like - Some visualizations are not always self-explanatory - Organization of content e.g. tables and views **What problems is Anomalo solving and how is that benefiting you?** - Data quality dashboard for our tables/views - Centralized visual location for previously manual or coded checks - Quick configurations and access for team members ### 11. Anomalo! **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2022 **What do you like best about Anomalo?** out of the box checks are easy to set up **What do you dislike about Anomalo?** wish we could select multiple tables to apply the same checks to **What problems is Anomalo solving and how is that benefiting you?** we use Anomalo to review our data daily to ensure that we can catch anomalies/data errors sooner rather than later ### 12. Use anomalo regularly for airflow dags. **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** May 27, 2022 **What do you like best about Anomalo?** configurable alerting and data visualization **What do you dislike about Anomalo?** Some charts are a bit hard to interpret for new users **What problems is Anomalo solving and how is that benefiting you?** It make monitoring and debugging much easier. ## 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?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+09%3A04%3A22+-0500&secure%5Bsession_id%5D=5dd103df-1691-423c-9820-e4731508b5db&secure%5Btoken%5D=802efd9f154fa23c44da276f097cc582e3761b963b56568a4ec826b67890025b&format=llm_user) ## Anomalo Features **Functionality** - Monitoring - Alerting - Logging - Response Time - Reporting - Data Visualization - Performance Monitoring - Real-Time Monitoring - Server Monitoring - Real-Time Reporting - Uptime Reporting - Transaction Monitoring - Real-Time Data **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 - Third-Party Integrations - Capacity Planning **Autonomous Insight Generation - Agentic Analytics** - Continuous Pattern Detection - Multi‑Step Reasoning - Predictive & Prescriptive Analytics **Additional Functionality** - Resource Management - Anomaly Detection - Visual Analytics - Remote Monitoring & Management - Secure Data Storage - Dashboard - Generative AI - Configuration Management - API - User Management - Capacity Management - Diagnostic Tools - Dependency Tracking - Troubleshooting - Reporting & Statistics - Reporting/Analytics - Predictive Analytics - Audit Management - Real-Time Notifications - Application Management - Data Storage Management - Application-Level Analysis - Multitenancy - Query Analysis - Performance Management - Access Controls/Permissions - Compliance Management - Historical Trend Analysis - Alerts/Notifications - Summary Reports - AI Copilot - Event Logs - Dashboard Creation - Automated Discovery - Prioritization - Issue Tracking - Activity Dashboard - Performance Metrics - Resource Optimization - Real-Time Analytics - Status Tracking **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 - Real-Time Data **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 - Generative AI **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery ## Top Anomalo Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (533 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (715 reviews) - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,234 reviews)