Best Data Quality Tools

Data quality tool reviews covering rule authoring, anomaly detection, alert noise, remediation workflow and coverage across sources.

6 products

Anomalo
Anomalo

by Anomalo

No reviews yet

Anomalo is an AI data quality and observability platform for enterprise data teams, run as SaaS or in the customer's VPC and sold by quote after a demo.

Features

Has Automated column profiling
Missing Declarative quality rules in YAML or SQL
Has No-code rule authoring
Missing Reusable rule library across datasets
Has Anomaly detection on quality metrics
Missing Quality score per dataset
Has Quality checks in CI and orchestration runs
Missing Data contracts with enforcement
Missing Standardisation and cleansing transforms
Missing Duplicate detection with fuzzy matching
Missing Address and reference data validation
Missing Issue assignment and remediation workflow
Has Alerts to chat and ticketing tools
Has Quality results published to a catalog
Missing Checks across warehouses, lakes and files
Missing Open source checks library
Has Private deployment in your cloud
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Ataccama ONE
Ataccama ONE

by Ataccama

No reviews yet

Ataccama ONE is a data quality platform for large enterprises that joins rules, profiling, catalog, lineage, observability and master data, sold by quote.

Features

Has Automated column profiling
Missing Declarative quality rules in YAML or SQL
Has No-code rule authoring
Has Reusable rule library across datasets
Has Anomaly detection on quality metrics
Has Quality score per dataset
Has Quality checks in CI and orchestration runs
Missing Data contracts with enforcement
Has Standardisation and cleansing transforms
Has Duplicate detection with fuzzy matching
Missing Address and reference data validation
Has Issue assignment and remediation workflow
Has Alerts to chat and ticketing tools
Has Quality results published to a catalog
Has Checks across warehouses, lakes and files
Missing Open source checks library
Missing Private deployment in your cloud
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Bigeye
Bigeye

by Bigeye

No reviews yet

Bigeye is a data observability platform for data teams, with lineage, anomaly detection and YAML or SQL quality rules on cloud warehouses, sold by quote.

Features

Has Automated column profiling
Has Declarative quality rules in YAML or SQL
Has No-code rule authoring
Has Reusable rule library across datasets
Has Anomaly detection on quality metrics
Has Quality score per dataset
Has Quality checks in CI and orchestration runs
Missing Data contracts with enforcement
Missing Standardisation and cleansing transforms
Missing Duplicate detection with fuzzy matching
Missing Address and reference data validation
Has Issue assignment and remediation workflow
Has Alerts to chat and ticketing tools
Has Quality results published to a catalog
Missing Checks across warehouses, lakes and files
Missing Open source checks library
Missing Private deployment in your cloud
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DataMatch Enterprise
DataMatch Enterprise

by Data Ladder

No reviews yet

DataMatch Enterprise is Data Ladder's data matching software for deduplicating and cleansing records across files and databases without code. Quote only.

Features

Has Automated column profiling
Missing Declarative quality rules in YAML or SQL
Has No-code rule authoring
Missing Reusable rule library across datasets
Missing Anomaly detection on quality metrics
Missing Quality score per dataset
Missing Quality checks in CI and orchestration runs
Missing Data contracts with enforcement
Has Standardisation and cleansing transforms
Has Duplicate detection with fuzzy matching
Has Address and reference data validation
Missing Issue assignment and remediation workflow
Missing Alerts to chat and ticketing tools
Missing Quality results published to a catalog
Has Checks across warehouses, lakes and files
Missing Open source checks library
Has Private deployment in your cloud
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Informatica

by Salesforce

No reviews yet

Informatica is a cloud data integration and data quality platform owned by Salesforce, for enterprises with hybrid data estates, priced by consumption on quote.

Features

Has Automated column profiling
Missing Declarative quality rules in YAML or SQL
Missing No-code rule authoring
Missing Reusable rule library across datasets
Has Anomaly detection on quality metrics
Has Quality score per dataset
Missing Quality checks in CI and orchestration runs
Missing Data contracts with enforcement
Has Standardisation and cleansing transforms
Missing Duplicate detection with fuzzy matching
Missing Address and reference data validation
Missing Issue assignment and remediation workflow
Missing Alerts to chat and ticketing tools
Has Quality results published to a catalog
Missing Checks across warehouses, lakes and files
Missing Open source checks library
Missing Private deployment in your cloud
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Soda
Soda

by Soda

No reviews yet

Soda is a data quality platform for data engineering and governance teams, with YAML data contracts checked in CI, anomaly monitors and a self-hosted option.

Features

Has Automated column profiling
Has Declarative quality rules in YAML or SQL
Has No-code rule authoring
Has Reusable rule library across datasets
Has Anomaly detection on quality metrics
Has Quality score per dataset
Has Quality checks in CI and orchestration runs
Has Data contracts with enforcement
Has Standardisation and cleansing transforms
Missing Duplicate detection with fuzzy matching
Missing Address and reference data validation
Has Issue assignment and remediation workflow
Has Alerts to chat and ticketing tools
Has Quality results published to a catalog
Has Checks across warehouses, lakes and files
Has Open source checks library
Has Private deployment in your cloud
Visit Profile
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