Data Infrastructure Management Software, Built for the Way Your Team Actually Works.

Datadog, New Relic, and most APM tools watch infrastructure — CPU, memory, network, container health. They tell you the box is up. Logiciel watches the data itself: freshness, accuracy, schema, lineage, and cost across the path from ingestion to BI dashboard. When your CMO opens a dashboard with stale numbers, the box was up — but the data wasn't fresh, and APM never told you. Logiciel detects that scenario in minutes, routes the alert to the team that owns the upstream pipeline, and shows the downstream dashboards affected. APM and data infrastructure management are complementary, not substitutes; most US data teams run both.

No. Logiciel is designed to layer on top of your current Snowflake, Databricks, Redshift, BigQuery, Airflow, dbt, or Kafka setup — not replace them. Most teams are live in 2-3 weeks because we connect via metadata APIs and query logs rather than requiring re-ingestion. Over time, customers often consolidate point tools (separate observability, catalog, and cost dashboards) onto Logiciel because the unified view eliminates swivel-chair monitoring, but that's a phased decision driven by your team, not a forced migration. We provide migration playbooks if and when you choose to consolidate.

Per-pipeline tier with unlimited users — no per-seat penalties when your team grows from 5 to 50. Pricing scales with the number of active pipelines and total data volume monitored, not with the number of dashboards or analysts who consume the insights. For US mid-market customers, typical engagements start at $30K-60K annually; enterprise tiers with dedicated TAM, advanced governance, and 24/7 incident coverage scale from there. Pricing is transparent and contractually capped — no surprise overage bills when your data volume spikes during a marketing push or fiscal close.

Both, and that's deliberate. You get the data infrastructure management platform plus a US-time-zone implementation team that gets you to value within your first 30 days. The platform alone is powerful but takes months to extract full value when teams are already firefighting. Our implementation engineers map your stack, prioritize the top 3-5 risk areas (usually pipeline reliability, cost attribution, and lineage gaps), and embed alongside your team for the first 30-90 days. After that, you can run it solo, retain advisory hours, or move to managed operations — your choice.

Yes. We have customers running fully cloud (AWS, Azure, GCP), fully on-prem (legacy Hadoop, Teradata, Oracle), and hybrid configurations — common in financial services, healthcare, and government-adjacent US enterprises. Logiciel deploys as a managed SaaS, in your VPC, or fully air-gapped on-prem when compliance requires it. Hybrid customers typically run our control plane in the cloud while data planes execute in-region or in-DC, so sensitive data never leaves your perimeter. We've supported FedRAMP-aligned and HIPAA-aligned hybrid deployments at Fortune 500 scale.

Customers report 30-50% reduction in pipeline incidents and 20-35% reduction in cloud spend within the first quarter, plus a measurable lift in stakeholder trust (fewer 'is this number right?' Slack threads). The ROI math usually pencils out from two effects: engineers spend less time on reactive firefighting (regaining 8-12 hours per engineer per week), and FinOps gains attribution that surfaces 15-25% of compute as right-sizable. We benchmark each customer's baseline in week one, so the ROI is measured against your actual numbers — not a generic case study from someone else's industry.

We have engineers and customer-facing leads based in the US, plus extended engineering teams across global time zones — meaning incidents get worked 24/7 without you paying for three shifts. Your account is staffed with a US-based principal architect, a US-based customer success lead, and a global engineering pod aligned to your sprint cadence. All escalations route to a US-based on-call rotation during US business hours. For customers with strict residency or citizenship requirements (US Federal, regulated finance), we can configure US-only or US-cleared engineering teams.