Researched and Edited by Rajat Gupta
Last updated: October 5, 2026 · How we review
Data Observability Software overview
Spotsaas tracks 8 products in Data Observability Software, ranked by SpotScore — a blend of feature coverage, verified review ratings, and value. 8 let you start on a free trial, and 2 keep a free plan you can stay on. Most buyers here are Data engineers who found out about a pipeline failure from a business stakeholder.
- 8
- products listed
- 8
- offer a free trial
- 2
- have a free plan
- 6
- priced per subscription
- 19
- quote on request
Editor's Summary · Data Observability Software
Data observability splits by how much work you want to do yourself. Great Expectations and DQOps are open source and free — you declare the checks and wire them into your pipelines, which suits teams with engineering capacity and a clear idea of what "correct" looks like. Monte Carlo, Anomalo, Validio and Lightup take the opposite approach, applying anomaly detection automatically so there are no thresholds to maintain, which is what large estates usually need. Sifflet, Elementary Data and Ataccama sit in between by pairing monitoring with a catalog and lineage, so an alert arrives with the context needed to act on it.
The thing that separates these tools in practice is not detection but triage: whether an alert tells you which upstream job broke and what it will affect downstream, or just that a number moved.
This category was published recently and most listings do not carry verified reviews yet.
Quick picks for Data Observability Software
- Best for large estates — Monte Carlo
- Best open source — Great Expectations
- Best dbt-native — Elementary Data
Who gets the most from Data Observability Software
- 1Data engineers who found out about a pipeline failure from a business stakeholder
- 2Analytics leads accountable for dashboard accuracy across many sources
- 3Data governance owners who need quality evidence for compliance reporting
How to choose Data Observability Software
If you have engineering capacity and well-understood data, filter for open source options and start with declarative checks in your pipelines. If your estate is large or poorly documented, filter for automated anomaly detection so you are not maintaining thousands of rules. If alert fatigue is the real problem, prioritise tools that pair monitoring with lineage so each incident arrives with root cause and downstream impact attached.
Showing -1031-8 out of 8
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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Sifflet
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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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
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What is Metaplane?
Metaplane is a modern data era automated warehouse-to-BI lineage solution that enables businesses to gain peace-of-mind. With its quick 30 minute lifespan, organizations monitor their entire warehouse processes and identify downstream impact for complete observability. Trust in data accuracy ...
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Masthead
Effortlessly secure and validate your data insights.
Best for: SMB teams · Mid-market · Enterprise
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What is Masthead?
Masthead Data presents an advanced data safety solution that facilitates rapid recognition of anomalies within Google BigQuery. The platform uses Artificial Intelligence to inspect and monitor BigQuery for data modifications or unexpected outcomes. Using Masthead, it is possible for companies ...
Read more about MastheadLooking to replace a Data Observability Software tool?
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