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Anomalo description
Anomalo is an automated data quality monitoring software designed for businesses of all sizes. It helps you find and fix data issues before they impact your business, ensuring accurate and reliable data for decision-making. Anomalo uses machine learning to automatically detect data anomalies and provides easy-to-understand explanations. It integrates seamlessly with your existing data infrastructure and offers a user-friendly interface for monitoring and managing data quality. With Anomalo, you can trust your data to drive better business outcomes.
Who is Anomalo best for
Anomalo is an automated data quality monitoring platform ideal for large enterprises relying on accurate data. It helps prevent costly errors by proactively identifying anomalies and alerting teams. Users praise its easy setup, integrations, and excellent customer support, while some note limitations in customization and cost transparency.
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Best fit for enterprise companies.
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Suitable for data-driven businesses across various industries.
Anomalo features
| Supported Anomalo integrates with major data warehouses like Databricks and Snowflake. |
| Supported Anomalo monitors and improves data accuracy, completeness, and consistency. |
| Supported Anomalo supports data lineage, tracking data origin, transformations, and destinations. |
| Supported Anomalo provides a robust system for setting up alerts for data changes and anomalies. |
| Supported Anomalo provides actionable insights and integrates with tools to facilitate mitigation efforts. |
Anomalo reviews
We've summarised 42 Anomalo reviews (Anomalo G2 reviews) and summarised the main points below.
- Easy setup of checks and integrations.
- Excellent customer support and responsiveness.
- User-friendly interface and visualizations for non-technical users.
- Effective anomaly detection and alerting capabilities.
- Helpful built-in data quality checks.
- Limited customization options, especially for complex use cases.
- Unclear cost breakdown for running validations, especially on large datasets.
- Some advanced features are hidden and undocumented.
- Occasional issues with automated outlier detection models.
- Limited datasource support for checks.
Anomalo alternatives
MetaplaneBetter for proactively catching data issues before they impact stakeholders. Seamless integration with popular data platforms. Easy setup and quick time to value. Excellent customer support. Offers a free plan. Data lineage is limited for certain products. Initial setup can be noisy with alerts. Managing monitors via YAML can be cumbersome. UI/UX can feel clunky at times. Anomalo alternative; Anomalo competitor.Read more
Monte CarloHas broader ratings data available from G2. Monte Carlo has more reported issues with UI complexity and alert fatigue. Anomalo alternative for users prioritizing setup and integrations.Read more
SAP Information StewardBetter for governance and metadata management. Pricier and has a steeper learning curve. Less user-friendly, especially for customization. Not ideal for real-time data saving or generative AI tasks.Read more
LookerBetter for business intelligence and creating interactive dashboards. Stronger Google ecosystem integration. More user-friendly for non-technical users, but less effective for proactive data quality management and root cause analysis. Looker has more positive pricing sentiment.Read more
QualyticsBetter suited for enterprise businesses. Has fewer features and integrations. Growing slower than Anomalo. Fewer user reviews available. Anomalo alternative; Anomalo competitor.Read more
Anomalo FAQ
What is Anomalo and what does Anomalo do?
Anomalo is an automated data quality monitoring platform using machine learning to detect and resolve data errors. It integrates with your data infrastructure, providing alerts and actionable insights to ensure data accuracy and reliability for better business decisions. Anomalo is best suited for medium to large enterprises.
How does Anomalo integrate with other tools?
Anomalo integrates seamlessly with your existing data infrastructure, including major data warehouses like Databricks and Snowflake. It also offers actionable insights and integrates with tools to facilitate data quality mitigation efforts.
What the main competitors of Anomalo?
Anomalo's main competitors include Metaplane, Monte Carlo, and Qualytics. These alternatives offer similar data quality monitoring and anomaly detection features. Other data analysis platforms like Tableau and Elastic Stack also provide some overlapping functionalities.
Is Anomalo legit?
Yes, Anomalo is a legitimate data quality monitoring software. It's known for its easy setup, helpful support, and user-friendly interface. Anomalo effectively detects anomalies and provides actionable insights, making it a safe and reliable choice for ensuring data quality.
How much does Anomalo cost?
Anomalo does not publicly disclose its pricing information. Contact their sales team for a customized quote based on your specific data volume and needs.
Is Anomalo customer service good?
Customers praise Anomalo's outstanding customer support and responsiveness. Users appreciate the helpful staff and direct communication channels with the product team, highlighting their proactive approach to feedback and issue resolution. Some users mention limited customization options.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.