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DataOps as a Guaranteed Outcome

An outcome-based managed service orchestrating Snowflake, Databricks, and dbt into a unified platform with SLAs on uptime, quality, and MTTR enforced by breach credits.
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THE CHALLENGE

Breaking the Cycle of Effort-Based Consulting.

Modern infrastructure components like Snowflake, Databricks, and dbt often operate in silos, leaving cross-platform incidents undetected. Engineering teams face chronic alert fatigue, while critical pipelines fail during vital reporting cycles. Traditional vendors charge for manual hours without taking contractual responsibility for delivery, leaving businesses to absorb inflating cloud compute costs.

How Saama Helps

Contractually Guaranteed Data Quality

Saama eliminates best-effort models by turning operational stability and cost reduction into legally binding obligations. By wrapping your data stack in a cross-platform AIOps layer, we transform fragmented infrastructure into certified data products backed by automated self-healing and explicit contract breach credits.

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Solutions for the Modern Data Infrastructure Lifecycle

Pillar 1 — Cross-Platform AIOps Orchestration

Unified incident intelligence and root-cause isolation across the Snowflake, Databricks, and dbt ecosystem.

Agents
Cross-Platform Incident Correlator, Self-Healing Incident Bot Unified Telemetry Integration
Unified Telemetry Integration
Ingests and analyzes signals from Databricks Lakehouse Monitoring, Airflow, and Snowflake Trust Center into a single pane of glass.
Vector-Indexed Incident Corpus
Uses a library of 3,000+ resolved incidents to trigger self-healing protocols for recognized pipeline failure patterns.
Lineage-Aware Code Synthesis
Integrates with dbt-MCP to ensure automated remediation respects existing database dependencies and test boundaries.

Saama Llama Impact

↓ 75% Reduction in Mean Time to Detection (MTTD) | ↑ 40% Increase in Automated Pipeline Self-Healing

Pillar 2 — Certified Data Products & Governance

Turning multi-hop pipeline code into SLA-bound data assets engineered for corporate consumption.

Agents
Data Product Quality Scorer, Lineage Mapping Guardian
Quality-Scored Data Products
Raw tables become assets with transparent freshness ratings, quality indexes, and OpenLineage mapping.
Unified Governance Surface
Consolidates technical lineage and health metrics into a portal for enterprise stakeholders.
SLA Scoping Validation
Evaluates asset health prior to signing to ensure all performance parameters are realistically scoped.

Saama Llama Impact

100% Visibility Into Pipeline Data Lineage | Zero "Silent Data Corruption" Events Reaching Dashboards

Pillar 3 — Contractual SLAs & Automated FinOps

Accountability backed by financial remediation and Cortex-driven infrastructure cost containment.
Agents
SLA Breach Credit Tracker, Cortex Cost Optimizer
Contractual SLA Enforcement
Binding pipeline uptimes (99%+), quality scores, and P1 MTTR windows monitored by the SLA Breach Credit Tracker.
Automated FinOps
Deploys optimization scripts via Cortex Cost Optimizer to reduce cloud spending by 15% to 25% in year one.
Legacy Preservation
Layers on existing stacks to achieve resilience with zero rip-and-replace migration risks.

Saama Llama Impact

15–25% Immediate Reduction in Year 1 Cloud Run-Rates | 100% Financial Accountability Backed by Breach Credits

How Saama Powers Your MDP Success

The Strategic Benefit Analysis: Enhancing the Infrastructure Lifecycle

1

Accelerated SLA Realization:

Secure pipeline predictability to eliminate delivery exceptions immediately.

2

Maximized Operational Persistence

Build technical stability using self-healing repositories that prevent error repetition.

3

Protected Operational Capital

Tie vendor billing to platform outcomes rather than unmanaged consulting hours.