8.0
SpotScore

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What is Telmai?
Telmai offers an efficient way of profiling and monitoring your data quality. With its no-code onboarding process, connecting to the data source and starting analysis is straightforward. In only a few minutes your schema is automatically detected and statistics across each data source is ...
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Data observability with catalog, lineage and quality monitoring
Best for: Mid-market · Enterprise
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What is Sifflet?
Sifflet is a data observability platform combining a data catalog, field-level lineage and quality monitoring in one control plane. It detects data issues, traces them to a root cause through lineage, and explains the downstream impact before it reaches business users. Monitoring is dynamic ...
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Great Expectations
Open source data quality framework for validating datasets
Best for: SMB teams · Mid-market · Enterprise
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What is Great Expectations?
Great Expectations is an open source data quality framework that lets teams declare expectations about a dataset, test against them automatically and act when they fail. Its Data Docs render results as readable reports and visualisations rather than raw test output, and Actions can be attached ...
Read more about Great ExpectationsElementary Data
dbt-native data observability with catalog and lineage
Best for: SMB teams · Mid-market · Enterprise
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What is Elementary Data?
Elementary Data is a data observability and governance platform built around dbt, combining quality monitoring, metadata management and incident response. It monitors pipelines with ML-based anomaly detection, tracks column-level lineage from ingestion through BI, and groups related failures ...
Read more about Elementary DataElementary Data offers custom pricing plan
DQOps
Open core data quality monitoring with 150+ built-in checks
Best for: SMB teams · Mid-market · Enterprise
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What is DQOps?
DQOps covers data quality from initial profiling through automated checks to continuous observability. It ships more than 150 built-in checks across completeness, validity, consistency, accuracy and timeliness, proposes check configuration automatically, and detects volume changes, schema drift ...
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Unravel Data
AI-Driven Data Observability and FinOps for Transformative Action
Best for: Mid-market · Enterprise
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What is Unravel Data?
Unravel Data is a data observability and FinOps platform that monitors pipelines and workloads, then uses machine learning to recommend or automate fixes for performance and cost issues. It tracks cloud and on-premises data spending, giving teams detailed visibility into resource utilization ...
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Soda
Data quality simplified. Reliable insights guaranteed.
Best for: SMB teams · Mid-market · Enterprise
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What is Soda?
Soda is a data quality platform used by data engineers and analytics engineers who need to monitor and validate pipelines in modern data stacks built on tools like dbt, Airflow, Snowflake, or BigQuery. It lets teams write data quality checks as code and embed them directly into ingestion and ...
Read more about SodaSoda offers custom pricing plan
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What is Bigeye?
Bigeye is a data observability platform that monitors over 50 data quality metrics and detects anomalies automatically. It deploys in under 15 minutes, is SOC2 compliant, and does not duplicate or export data, keeping sensitive information within the source environment.
Read more about BigeyeBigeye offers custom pricing plan

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What is decube?
Decube is a data quality assurance platform that identifies discrepancies between staging and production data and flags them for resolution. It includes a data cataloging system with rich metadata to improve data discovery and help teams maintain a single source of truth.
Read more about decubedecube offers custom pricing plan
