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Data observability for dbt users
Elementary is dbt-native data observability software offering a dbt-native data observability platform for anomaly detection, lineage and data quality alerts. Founded in 2021 and based in Tel Aviv, Israel, Elementary helps analytics engineers work more efficiently and achieve better outcomes.
Elementary is built for analytics engineers. It suits teams that want dbt-native tests without spreadsheets and disconnected tools.
Compared with alternatives like Monte Carlo, Elementary differentiates on dbt-native tests. Pricing is quote-based and scoped to your usage and team size.
Pricing Model
Quote-based
Starting Price
Contact vendor
Free Options
Free trial
Core Elementary for growing teams. Contact for a quote.
Advanced Elementary for larger organizations. Contact for a quote.
| Feature | Professional Popular | Enterprise |
|---|---|---|
| dbt-native tests | , | |
| anomaly detection | , | |
| Integrations | , | |
| Analytics and reporting | , | |
| Standard support | , | |
| Everything in Professional | , | |
| column-level lineage | , | |
| alerts and reports | , | |
| Advanced security and controls | , | |
| Dedicated support and onboarding | , |
Other
DevOps
Communication
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
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