Wiz vs Elementary
Side-by-side comparison to help you choose the best tool.
Wiz
paidCloud security platform that uses AI to scan cloud environments for vulnerabilities, misconfigurations, and attack paths without agents, used by 40% of Fortune 100 companies. Wiz Security Graph correlates cloud configuration, vulnerabilities, secrets, and network paths to identify the most toxic risk combinations. AI features including Wiz Copilot provide natural language cloud security investigation and policy creation.
Elementary
freemiumElementary is an open-source data observability platform built natively for dbt, providing data quality tests, anomaly detection, and lineage directly within dbt workflows. It generates a data observability report from dbt test results and adds ML-based anomaly detection on top. Elementary is the leading open-source alternative to Monte Carlo and Anomalo for dbt-centric data teams.
| Feature | Wiz | Elementary |
|---|---|---|
| Pricing | paid | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.9 | 4.4 |
| Best For | Cloud-first enterprises needing rapid agentless cloud security posture management | Data engineering teams using dbt who want open-source data observability and anomaly detection without adding another managed platform |
| Views | 5 | 4 |
Pros
- Agentless deployment provides immediate full visibility
- Security Graph reveals complex multi-step attack paths
- Rapid deployment with minimal operational overhead
Cons
- Premium pricing reflects its enterprise-focused positioning
- Limited runtime threat detection compared to agent-based solutions
Pros
- Best open-source data observability for dbt teams
- Zero additional infrastructure if already using dbt
- Self-hostable with no data leaving your environment
Cons
- Best value only for dbt-centric stacks
- Enterprise features require Elementary Cloud subscription
- Agentless cloud environment scanning
- Security Graph attack path analysis
- Wiz Copilot AI assistant
- Multi-cloud support (AWS, Azure, GCP, OCI)
- Secrets and data security posture management
- dbt-native data observability
- ML anomaly detection on dbt metrics
- Data lineage within dbt
- Slack alerting for test failures
- Open-source & self-hostable