MESH

/ managed data mesh

managed data mesh / now in general availability

Your teams own their data.
Mesh routes everything else.

A managed service that wires domain-owned data products across your enterprise. Stop waiting on central pipelines. Platform engineering leads, data officers, and CTOs at Series C+ companies deploy in a sprint.

mesh estimator / live

Data Domains8 domains

Business units owning data products

Active Pipelines45 pipelines

Central ETL/ELT jobs currently managed

Incident Hours / Week12 hrs/wk

Avg eng hours spent on pipeline incidents

Cloud Provider

Time-to-Delivery⚡

2.0M% faster

Domain teams ship without central queue

Annual Cost Under Mesh◈

$2.0M saved

vs. current pipeline maintenance spend

FTEs Reclaimed◉

2.0M engineers

Back to product work, not pipeline tickets

Deploy Frequency▲

2.0M× more often

Data product releases per sprint

94%pipeline incident reduction

< 4havg domain onboarding time

12×faster data product delivery

99.95%SLA uptime across all domains

$2.4Mavg annual savings per enterprise

6.2 FTEengineers reclaimed per deployment

94%pipeline incident reduction

< 4havg domain onboarding time

12×faster data product delivery

99.95%SLA uptime across all domains

$2.4Mavg annual savings per enterprise

6.2 FTEengineers reclaimed per deployment

platform capabilities / spec sheet

Five modules.
Each earns trust independently.

Click any card to expand SLA commitments and compatible stack integrations.

active

< 4h

avg onboard time per domain

Domain Onboarding

//Self-service domain registration via CLI or UI

//Automated schema validation and contract enforcement

//Mesh assigns data product ownership and SLA tier

view sla + stack

SLA Commitments

Onboarding SLA< 4 hours

Schema validation< 30 sec

Contract enforcementReal-time

Rollback window24 hours

live

100%

discoverability across domains

Data Product Registry

//Unified catalog of all data products across the enterprise

//Semantic search with lineage graph and impact analysis

//Versioned schemas with deprecation lifecycle management

view sla + stack

SLA Commitments

Index latency< 60 sec

Search accuracy99.2%

Lineage depthUnlimited

Version retention90 days

enforced

central team bottlenecks

Federated Governance

//Policy templates applied per-domain without central gating

//Automated PII classification and access tagging

//Audit logs streamed to SIEM with 12-month retention

view sla + stack

SLA Commitments

Policy propagation< 5 min

PII scan coverage100%

Audit retention12 months

GDPR/CCPA readyYes

monitoring

94%

incident reduction post-deployment

Observability Layer

//Column-level data quality checks on every pipeline run

//Anomaly detection with Slack/PagerDuty alerts in < 3 min

//SLA breach prediction 6 hours before threshold hit

view sla + stack

SLA Commitments

Alert latency< 3 min

Quality check coverage100% columns

False positive rate< 2%

Prediction horizon6 hours

open

8 min

avg time to access approval

Self-Serve Access

//Role-based access requests resolved without data team tickets

//Row-level security policies inherited from governance layer

//Usage analytics per consumer with cost allocation tagging

view sla + stack

SLA Commitments

Access approval< 8 min

RLS enforcementInstant

Usage reporting lag< 1 hour

Consumer SLA99.9% uptime

We went from 47 open pipeline tickets to 3 in the first sprint. The domain teams just… started shipping.

Priya Anand

VP Data Platform · Meridian Insurance

Our Snowflake bill dropped $340K annually. More importantly, my team stopped being the bottleneck for every analytics request.

Marcus Webb

Head of Platform Engineering · Cascade SaaS

Due diligence for the acquisition asked for our data lineage. We pulled the full graph in 8 minutes. That conversation ended well.

Tariq Osei

CTO · Fieldline AI (Series C)

compatible stack

Wires into your existing stack.
No rip-and-replace.

Mesh wraps your current warehouse, orchestrator, and transformation layer with a domain-ownership model. Your team keeps their tools. You gain the mesh.

Snowflake

Warehouse

Databricks

Lakehouse

dbt

Transform

Redshift

Warehouse

BigQuery

Analytics

Kafka

Streaming

Airflow

Orchestration

Fivetran

Ingestion

Spark

Processing

dbt Cloud

CI/CD

Terraform

IaC

OpenMetadata

Catalog

All integrations managed and monitored by Mesh. SLA coverage included.

technical documentation

Download the Mesh Spec Sheet

Full architecture diagrams, SLA tables, API reference, and integration checklist. Built for platform engineers evaluating a managed mesh layer.

✓Domain topology diagrams

✓Federated governance specs

✓SLA commitment tables

✓API + SDK reference

✓Migration playbook

✓Security & compliance brief

accepting new deployments

Your domains are ready.
Is your pipeline team?

Most deployments complete in one sprint. Your first domain is live before the next planning cycle.

No commitment. A Mesh architect reviews your current stack and responds within 24h.

Your teams own their data.Mesh routes everything else.

Five modules.Each earns trust independently.

Domain Onboarding

Data Product Registry

Federated Governance

Observability Layer

Self-Serve Access

Wires into your existing stack.No rip-and-replace.

Download the Mesh Spec Sheet

Your domains are ready.Is your pipeline team?

Your teams own their data.
Mesh routes everything else.

Five modules.
Each earns trust independently.

Wires into your existing stack.
No rip-and-replace.

Your domains are ready.
Is your pipeline team?