DataOps.live review
A Snowflake-focused DataOps platform combining CI/CD, monitoring, quality gates, and governance.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
DataOps.live is a managed data automation platform for data engineering and platform teams working with Snowflake workloads. It supports CI/CD across development, test, and production, recurring pipeline schedules, versioned workflows, merge-request collaboration, data quality reporting, governance policies, audit trails, and regulatory gates. Teams can also coordinate ingestion, transformation, quality, and observability tools through one platform. Deployment options include cloud and self-hosted, with web and API access. Its strongest fit is mid-market and enterprise teams that need governed pipeline delivery around Snowflake rather than a standalone observability console.
The published plans use a freemium model. The Free allowance provides 500 DataOps.live Credits (DOLCs) each month; one DOLC equals one minute of runtime, and the allowance is pooled company-wide before resetting monthly. After that allowance, the Pay-as-you-go option supports Snowflake credits, card payments, purchase orders, or a private Snowflake Marketplace offer. Enterprise plans are available through sales, and a separate 30-day free trial is advertised. This structure lets teams evaluate workflows and reserve higher-volume or enterprise arrangements for a commercial discussion.
DataOps.live’s ecosystem includes Snowflake, dbt Core, dbt Cloud, Fivetran, Stitch, Monte Carlo, Informatica, Qlik, Matillion, VaultSpeed, AWS, Azure, Jira, Slack, and Google Hangouts Chat. Monitoring, execution logs, quality gates, and Metis AI assistance address operational troubleshooting, while governance and audit features support controlled delivery. The trade-off is breadth: observability is one capability inside a wider orchestration and governance product. Choose DataOps.live when CI/CD coordination and Snowflake-centered data product delivery are priorities; teams seeking a narrowly dedicated observability product may prefer a more specialized alternative.
DataOps.live pros and cons
- Where it wins
- Pipeline monitoring with run filtering, failure investigation, and execution logs
- Quality gates can stop pipeline execution when checks fail
- Versioned workflows integrate with Snowflake, dbt, and data tooling
- Where it doesn't
- Observability is part of a broader orchestration platform, not its sole focus
- Enterprise plans require contacting sales for pricing
- Free usage is capped at 500 DOLCs per month across the company
DataOps.live fact sheet, pricing and score →
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