Anomalo
Anomalo offers a comprehensive data quality monitoring platform that uses machine learning to detect data issues and integrates with major data warehouses, lakes, and lakehouses.
Services
Anomalo offers a comprehensive data quality monitoring platform. The platform uses machine learning to detect data issues and supports a wide range of integrations, including major data warehouses like BigQuery, Snowflake, and Databricks. Anomalo provides automated data quality checks to ensure accuracy, completeness, consistency, and integrity without requiring manual setup. Additional features include anomaly detection, data validation, data governance, and data observability.
Products
Anomalo's platform boasts a range of features designed to enhance data quality and security. Key capabilities include automated anomaly detection, data validation, root cause analysis, and data lineage mapping. The platform integrates with ETL tools like Airflow and dbt for monitoring data pipelines and offers a no-code UI for easy setup of data validation rules. It also supports role-based access controls and in-VPC deployment to enhance data security.
Integrations
Anomalo supports integration with several major data warehouses, lakes, and lakehouses, including BigQuery, Snowflake, and Databricks. The platform also integrates with ETL tools such as Airflow and dbt for seamless data pipeline monitoring. Furthermore, Anomalo works with data catalogs like Alation to provide comprehensive data quality information across the data stack.
Security and Compliance
Anomalo prioritizes security and compliance in its data quality monitoring platform. The service has achieved several certifications, including SOC 2 Type II and HIPAA compliance. The platform also supports in-VPC deployment and role-based access controls for enhanced data security. Additionally, Anomalo has obtained Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations.
Machine Learning and Automation
Anomalo leverages machine learning algorithms to automatically learn historical patterns in data and detect anomalies without manual intervention. The platform's machine learning models require approximately two weeks to start delivering useful results. In addition to these capabilities, Anomalo offers automated data quality monitoring that scales to handle millions of tables and billions of records, ensuring robust and dependable data quality management.