Supply Chain Data Sharing on Kafka

Share inventory, orders, and shipment data with suppliers and carriers without exposing Kafka infrastructure. Virtual clusters isolate partners. Field-level encryption protects sensitive data. Usage metering tracks consumption.

Supply Chain Data Sharing on Kafka

Trusted by platform teams at

Caisse des Dépôts
Dick's Sporting Goods
Consolidated Communications
ING
Flix
Capital Group
Lufthansa
Vattenfall
Cigna
Honda
IKEA
Air France
Caisse des Dépôts
Dick's Sporting Goods
Consolidated Communications
ING
Flix
Capital Group
Lufthansa
Vattenfall
Cigna
Honda
IKEA
Air France

New Kafka clusters for each supplier, carrier, and marketplace inflate cost and operational load. Topics duplicated across environments.

Weeks to provision a new supplier connection. Network changes, security reviews, and custom integration work block time-sensitive partnerships.

Suppliers see more data than they need. No field-level controls. Audit trails scattered across systems.

Every new partnership triggers:

  • New cluster provisioning
  • VPN or firewall setup
  • Separate monitoring and alerting
  • Ops burden grows with each deal

Onboarding timeline:

  • Network team provisions access
  • Security reviews configuration
  • Integration team builds custom filters
  • Seasonal suppliers miss launch windows

Compliance gaps form:

  • Partner access too broad
  • No visibility into who accessed what
  • PII and pricing data exposed
  • Audit evidence scattered

Virtual Clusters

Create isolated environments for each partner on existing Kafka infrastructure. No new clusters, no VPC peering, no infrastructure sprawl

Topic Filtering

Share specific topics with each partner. They see only the data relevant to their integration—not your entire event stream

Field-Level Encryption

Encrypt or mask sensitive fields per partner contract. One topic serves multiple views with different data protection levels

Usage Metering

Track bytes produced and consumed per partner. Export via API for billing, chargeback, or capacity planning

Rate Limiting

Set throughput limits per partner. Premium partners get higher quotas. Prevent any single partner from overwhelming the cluster

Audit Trail

Centralized logs for all partner activity across clusters. Export to SIEM or compliance systems

Gateway Isolation

Partners connect through Gateway. Kafka brokers stay inside your network, never exposed to external parties

Crypto-Shredding

Delete encryption keys to revoke partner access instantly. Meet GDPR right-to-erasure without data deletion

Multi-Region Support

Partner zones can bind to regional clusters. Route EU partners to EU clusters for data residency compliance

Real-Time Visibility

Monitor partner consumption, lag, and errors from Console. Identify integration issues before partners report them

Self-Service Onboarding

Partners request access via API or Console. Approval workflows route to platform team. Policies auto-enforce on approval

No Replication

Share topics without duplicating data. One source of truth, multiple controlled views

How Partner Data Sharing Works

From signed deal to live data feed without new infrastructure.

1
Define Partner Zone

Create a virtual cluster with topics, fields, and rate limits. Attach to IdP group or external identity provider

2
Set Protection Policies

Configure field-level encryption per partner contract. Mask pricing, PII, or competitive data as needed

3
Enable Metering

Track bytes and messages per partner. Export to billing systems for chargeback or commercial agreements

4
Onboard Partner

Partner connects through Gateway with their credentials. Policies enforce automatically. No cluster exposure

Supplier Integration

Share demand forecasts and purchase orders with suppliers. Filter to show only their products. Encrypt pricing data

Carrier Data Feeds

Expose shipment and tracking events to logistics partners. Different tiers of access for different carrier classes

Marketplace Integration

Connect order and inventory data with Amazon, Shopify, and other marketplaces. Per-marketplace topic access

3PL Warehousing

Share inventory and order events with third-party logistics providers. Real-time visibility into stock movements

Returns Processing

Let return partners consume return authorization events. Track refund status back to your systems

Loyalty Partners

Share customer event streams with loyalty program partners. Encrypt PII, expose only program-relevant data

For Kafka cost allocation and compliance, see enterprise security. For internal team self-service, see developer self-service.

Read more customer stories

Frequently Asked Questions

Do partners need Kafka expertise to consume data?

No. Partners consume through standard Kafka clients. They see a simple, governed interface. Your infrastructure complexity stays hidden.

Can different partners see different fields from the same topic?

Yes. Field-level policies let you expose, mask, or encrypt specific fields per partner. One topic, multiple contractual views.

How does partner usage billing work?

Usage metering tracks bytes, messages, and consumers per partner zone. Export to your billing system or use for commercial agreements.

How fast can we onboard a new supply chain partner?

A new partner zone can be configured in minutes via API or Console. No cluster provisioning, no network changes, no weeks of integration work.

How do we handle partners in different regions?

Partner zones can bind to regional clusters. Configure zones to route EU, US, or APAC partners to appropriate clusters for data residency.

Launch your first partner zone

See how retail platform teams use Conduktor to share Kafka data with suppliers and carriers without infrastructure sprawl. Get a personalized demo.

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