Top 10 Great Expectations Alternatives 2026
Open source data quality framework for validating datasets
Trusted by 2M+ software buyers annually.
Main Features
- Analytics
- Dashboard
- Data Analysis Tools
- Report Generation
Great Expectations is a Data Observability Software platform. Teams looking for alternatives typically need better pricing flexibility, easier deployment, or a closer feature fit for their specific use case. Below you'll find 10 vetted Data Observability Software alternatives ranked by user rating, with filters to narrow by pricing, platform, and features — so you can find the right fit for 2026.
Great Expectations vs Top Alternatives at a Glance
Side-by-side comparison of pricing, user rating, and free trial availability to help you decide faster.
| Tool | Best For | Pricing | Rating | Free Option |
|---|---|---|---|---|
| Great Expectations Current | Data Observability Software | — | No reviews | ✗ No |
 DQOps | Data Observability Software | — | No reviews | ✗ No |
 Ataccama | Data Observability Software | Custom pricing | No reviews | ✗ No |
 Pantomath | Data Observability Software | Custom pricing | No reviews | ✗ No |
 Elementary Data | Data Observability Software | Custom pricing | No reviews | ✗ No |
 Monte Carlo | Data Observability Software | Custom pricing | No reviews | ✗ No |
Showing 1-10 out of 10
List of the Top Great Expectations alternatives as of September 2026
Compare business software, products, and services to find the best solution for your business or organization. Use the filters on the left to drill down by category, pricing, features, market segment, user ratings, and more.
DQOps
Open core data quality monitoring with 150+ built-in checks
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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 ...
Read moreCommon Features
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Analytics
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Dashboard
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Reporting
+ 4 more
Unique Features
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Alert Notifications
Ataccama
Data quality, observability, catalog and MDM in one platform
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What is Ataccama?
Ataccama is a data management platform covering data quality, observability, cataloging, lineage and master data management. Automated checks monitor critical sources and flag anomalies for remediation, while the catalog handles discovery, business glossary and lineage tracking. Master data ...
Read moreCommon Features
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Analytics
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Dashboard
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Reporting
+ 3 more
Unique Features
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Access Control
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Machine Learning
Pricing
Ataccama offers custom pricing plan
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Pantomath
Data operations centre with automated incident remediation
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What is Pantomath?
Pantomath monitors data infrastructure across platforms and automates the response when something breaks, positioning itself as the data equivalent of a security operations centre. It provides unified lineage and traceability across tools such as Snowflake, BigQuery and Databricks, detects and ...
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Analytics
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Dashboard
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Workflow Management
+ 3 more
Unique Features
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Alert Notifications
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Trend Indicators
Pricing
Pantomath offers custom pricing plan
Elementary Data
dbt-native data observability with catalog and lineage
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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 moreCommon Features
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Analytics
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Dashboard
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Reporting
+ 3 more
Unique Features
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Alert Notifications
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Machine Learning
Pricing
Elementary Data offers custom pricing plan
Monte Carlo
Data and AI agent observability for production pipelines
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What is Monte Carlo?
Monte Carlo is a data observability platform that monitors, troubleshoots and improves production data and AI systems. It tracks data quality and lineage across the warehouse and pipeline layer, performs root cause analysis when something breaks, and surfaces incidents on dashboards before they ...
Read moreCommon Features
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Analytics
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Dashboard
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Reporting
+ 3 more
Unique Features
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Alert Notifications
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Trend Indicators
Pricing
Monte Carlo offers custom pricing plan
Sifflet
Data observability with catalog, lineage and quality monitoring
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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 ...
Read moreCommon Features
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Analytics
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Dashboard
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Reporting
+ 3 more
Unique Features
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Alert Notifications
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Access Control
Pricing
Free Trial available, Try Now
Sifflet offers custom pricing plan
Qualytics
Data quality controls applied at the point data is used
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What is Qualytics?
Qualytics validates data at the moment it is consumed rather than only at rest, inferring quality rules automatically and letting teams guide them with business context. It monitors data continuously, tracks lineage, and delivers quality signals into analytics, applications and AI workflows so ...
Read moreCommon Features
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Analytics
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Dashboard
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Data Analysis Tools
+ 2 more
Unique Features
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Machine Learning
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Alert Notifications
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Access Control
Pricing
Qualytics offers custom pricing plan
Anomalo
Automated data quality monitoring with no rules to write
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What is Anomalo?
Anomalo monitors data quality automatically across enterprise warehouses, analysing billions of rows a day without requiring teams to hand-write validation rules. It applies machine learning to detect anomalies, investigate their cause and report findings, and covers both structured and ...
Read moreCommon Features
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Analytics
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Dashboard
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Data Analysis Tools
+ 2 more
Unique Features
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Machine Learning
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Alert Notifications
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Trend Indicators
Pricing
Anomalo offers custom pricing plan
Lightup
Enterprise data observability using pushdown queries
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What is Lightup?
Lightup monitors production data pipelines with AI-based anomaly detection that needs no thresholds or hand-written rules. It runs computation as pushdown queries inside the customer's own data warehouse rather than moving data out, which keeps it workable at enterprise scale, and offers ...
Read moreCommon Features
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Analytics
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Dashboard
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Data Analysis Tools
+ 2 more
Unique Features
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Machine Learning
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Alert Notifications
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Trend Indicators
Pricing
Lightup offers custom pricing plan
Validio
Data quality, observability and lineage with automated thresholds
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What is Validio?
Validio monitors data pipelines for quality and reliability, detecting anomalies in real time with thresholds that adjust automatically rather than being configured by hand. It maps lineage to identify the root cause of an issue, applies semantic search and profiling over datasets, and manages ...
Read moreCommon Features
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Analytics
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Dashboard
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Data Analysis Tools
+ 2 more
Unique Features
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Machine Learning
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Alert Notifications
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Access Control
Pricing
Validio offers custom pricing plan
Frequently Asked Questions (FAQs)
Stuck on something? We're here to help with all the questions and answers in one place.
The top-rated alternatives to Great Expectations for Data Observability Software are DQOps, Ataccama, Pantomath. Compare all 10 alternatives side-by-side above.
When evaluating alternatives to Great Expectations, prioritize: Analytics, Reporting, Report Generation, Data Analysis Tools, Third-party Integration, transparent pricing, free trial availability, and integrations with tools you already use. Use the filters above to compare by feature, budget, and team size.
For small businesses, the best Data Observability Software tools are Datafold, Telmai, Acceldata Flow. Look for affordable per-seat pricing, quick setup (under 1 day), no long-term contracts, and strong onboarding support to reduce time-to-value.
Migration difficulty depends on how deeply Great Expectations is integrated into your workflows. Most alternatives offer data export/import tools and dedicated onboarding support. We recommend narrowing to 2–3 options, running a free trial, and checking each vendor's migration guides before committing.
About the reviewer
Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].