v2.4.1-stable—headless-mdm

Master data, minus the middleware.

API-first MDM for engineering teams who refuse to click through a seventeen-step wizard to publish a schema change. One golden record. Clean endpoints. Zero console overhead.

No credit card · Provisioned in <60s
Records Governed
0.0B

across all tenants

API Calls / sec
0

peak sustained throughput

p99 Latency
0.0ms

read endpoint, global avg

Downstream Systems
0+

connected integrations

Data Quality Score
0.0%

entity resolution accuracy

LIVE PRODUCTION METRICS·UPDATED EVERY 30s·UTC 2026-02-27 15:49:03
System Architecture

One golden record.
Every system in sync.

Push a schema change via API. Headless propagates it to all 50 downstream consumers in under 200ms — no middleware, no wizard, no ticket to the platform team.

GOLDENRECORDv2.4.1SalesforceSnowflakeKafkaRedshiftHubSpotdbtLooker
POST /v2/records/publish
⬡

Single Write, Fan-Out Sync

Publish one record mutation. Headless broadcasts to all registered consumers via webhook or streaming endpoint — no ETL pipeline required.

↗ < 200ms propagation
⬡

Schema Registry Built In

Define your entity model once in JSON Schema. Every consumer gets version-aware contracts. Breaking changes are blocked at the API gateway — not discovered in prod at 2 a.m.

↗ 100% schema coverage
⬡

Conflict Resolution Engine

Configure merge strategies per entity type — last-write-wins, field-level priority, or custom resolver functions deployed as serverless endpoints.

↗ 99.7% entity accuracy
Integration Complexity

3 lines of cURL vs a 17-step wizard

The same schema change that takes 4–14 business days in legacy MDM takes 3.8 milliseconds with Headless.

✓Headless MDM · 3 lines · 3.8ms
terminal — headless-mdmLIVE
curl -X POST https://api.headless.io/v2/records \
-H "Authorization: Bearer $HDL_TOKEN" \
-d '{"entity":"customer","id":"cust_8812","fields":{"email":"new@corp.io"}}'
 
# Response: 200 OK — 3.8ms
# Propagated to 48 consumers — 142ms
// Payload returned
{ "status": "published", "propagated": 48, "latency_ms": 142 }
✕Legacy MDM (Informatica) · 17 steps · 4–14 days
Informatica MDM Console · v10.4
01.Log into MDM console (VPN required)
02.Navigate: Data Stewardship → Entity Management → Customer
03.Click "Request Schema Change" → Fill 12-field JIRA-style form
04.Await approval from Data Governance Committee (avg 4.2 days)
05.Configure field mapping in UI (drag-drop, 23 fields)
06.Set conflict resolution rules in separate dialog
07.Preview change in staging environment
08.Export staging config as XML
09.Submit change request to platform team
10.Platform team schedules maintenance window
11.Apply change in production via 3-step wizard
12.Manually notify 17 downstream teams via email
13.Wait for each team to update their ETL pipelines
14.Validate data quality in separate reporting module
15.Close JIRA ticket and update Confluence documentation
16.Schedule post-implementation review meeting
→ Total time: 4–14 business days
TIME SAVED PER SCHEMA CHANGE
99.997%
AVERAGE MIGRATION TIME (FROM INFORMATICA)
11 days
LINES OF INTEGRATION CODE ELIMINATED
~40,000
Performance Data · Not Marketing Copy

Numbers from production workloads.
Not a slide deck.

All benchmarks run against identical AWS us-east-1 deployments, 50M record corpus, mixed read/write workload. Methodology published at /benchmarks/methodology.md

Latency & ThroughputAWS us-east-1
p99 Read Latency↓ lower is better
Headless
4.2 ms
Legacy
87 ms
p99 Write Latency↓ lower is better
Headless
11 ms
Legacy
340 ms
Throughput (req/s)↑ higher is better
Headless
312k req/s
Legacy
8.4k req/s
Cold Start (sandbox)↓ lower is better
Headless
47 sec
Legacy
1.8k sec
Schema Deploy Time↓ lower is better
Headless
0.4 s
Legacy
346k s
Tested: 2026-02-14 · Corpus: 50M records · Mixed 70/30 R/W
Time to First Record (days) · Per Integration
Snowflake
1.5d
Salesforce
2d
Kafka
0.5d
Redshift
1d
dbt
0.5d
Looker
1.5d
11 days
full Informatica migration

Off Informatica MDM 10.4, 340M customer records, zero downtime cutover.

Meridian Analytics
VP Engineering · Austin, TX
4.1ms
p99 read in production

22B transaction records, 7 downstream systems, PCI DSS compliant.

Axiom Payments
Data Architect · New York, NY
3 days
first integration shipped

Snowflake + Salesforce + Looker wired in 72 hours.

Solaris Cloud
Platform Engineer · San Francisco, CA
$840k
annual tooling savings

Eliminated Reltio + custom ETL layer. 1 engineer now manages all MDM.

Thornwood SaaS
CTO · Chicago, IL
Ship it today

Your sandbox is ready in 60 seconds.

No demo call. No procurement cycle. Provisioned, pre-seeded with 10M sample records, and your first API token is in your inbox before you finish reading this sentence.

$ headless sandbox --provision

No credit card · Provisioned in <60s · 14-day free access

$ sandbox --list-contents
⬡
10M pre-seeded customer records
Realistic entity graph, ready to query
⬡
Full REST + GraphQL API access
All endpoints, no rate limits during trial
⬡
Schema registry with 3 sample models
Customer, Product, Location entity types
⬡
Conflict resolution playground
Test merge strategies on live data
⬡
Webhook test harness
Fire synthetic downstream events
⬡
14-day full access · No credit card
Upgrade or export your schema anytime
↓Download OpenAPI 3.1 SpecPDF + YAML

Full API reference, entity schemas, authentication flows, and webhook event catalog. Evaluate before you talk to anyone.