Share Real-Time Data with Partners.
Without Copies, Replicas, or Custom Pipelines. Proven Across Automotive, Financial Services, Logistics, and Retail.
Most teams stitch together replica clusters, mirroring pipelines, and per-partner engineering. Conduktor turns your existing streaming infrastructure into a secure data sharing platform: partners consume live data directly, with masking, encryption, and audit built in.
We've Seen What Breaks — and Built the Alternative.
Across automotive, financial services, logistics, and retail, the pattern repeats: a DMZ cluster, MirrorMaker pipelines per partner, dedicated engineering for every integration. It works — until the operational cost outpaces the partnerships.
The Current Approach Doesn't Scale — and Everyone Knows It
Replica clusters and per-partner engineering worked for the first partnership. By the fifth, it's unsustainable. By the tenth, it's a dedicated team.
Your Data Doesn't Arrive Neatly Packaged for Partners
Different partners need different slices of the same topic — different fields, different formats. There's no clean way to segment it without duplicating topics or building custom filters per consumer.
No Visibility Into What You've Shared — or With Whom
No central view of who has access to what. Compliance teams want audit evidence that doesn't exist. Adding a new partner means starting from scratch.
Partner Zones
Partners consume directly from your existing Kafka cluster via isolated Partner Zones — no replica clusters, no Cluster Linking fees, no custom APIs. Each partner is fully separated without requiring separate infrastructure.
Field-Level Masking & Encryption
Share what partners need, mask what they don't. PII masking and field-level encryption enforced before data leaves your organization. Different partners see different views of the same topic.
Automated Audit Trails
Every partner access event is logged automatically. Complete evidence for GDPR, HIPAA, SOC2, and PCI-DSS compliance reviews. Give legal the proof they need to approve deals.
Instant Access Control
Define exactly which topics partners can access. Apply rate limits per partner. Revoke access immediately when partnerships end. No data cleanup needed since nothing was replicated.
Native Kafka Protocol
Partners connect using standard Kafka clients. No special SDKs, no integration libraries, no API wrappers. If they can consume from Kafka, they can consume from a Partner Zone.
Topic Aliasing & Transformation
Hide internal topic names from external consumers. Transform data formats per partner. Adapt schemas without changing your source topics or producer code.
How Data Sharing Works
Four steps to live partner access — without the infrastructure overhead.
Define the partner's isolated environment with its own credentials, access policies, and rate limits. Each partner is fully separated without requiring separate infrastructure.
Choose which topics to expose. Apply field-level masking, encryption, and transformations so each partner sees only the data they're authorized to access, in the format they need.
Share secure credentials with the partner. They connect using standard Kafka clients pointed at Conduktor Gateway. No custom integration work on either side.
Track consumption per partner with built-in dashboards. See who is accessing what, in real time. Use this data for cost attribution, renewal conversations, and internal ROI reporting.
$150K+ Saved Per Partnership
Partners consume from your existing cluster via Partner Zones. No replica clusters, no Cluster Linking, no custom APIs to build or maintain — whether you're replacing existing infrastructure or avoiding the cost entirely.
2-4 Week Partner Onboarding
What previously required months of per-partner engineering takes weeks. Reusable templates mean each new partner builds on the last, not from scratch.
2-3 Week Deal Approval
Automated audit logs and field-level encryption give compliance teams the evidence they need. Deals that stalled in review — or were blocked entirely — now close in weeks.
New Revenue From Data You Already Have
Real-time data sharing opens data monetization opportunities from inventory feeds, telemetry, transaction patterns, and other data that was previously locked inside your platform.
Approaches to Real-Time Data Sharing
When shared data feeds a report, batch exchange works fine. When it drives an operational decision (rerouting a shipment, blocking a transaction, updating a price), it needs to arrive as a stream. That is the layer Conduktor's data streaming platform governs, and Partner Zones extend that governance across organizational boundaries, turning your existing streams into a governed data exchange. Here is how the streaming-native approaches compare:
| Replica Cluster + MirrorMaker | Confluent Cluster Linking | Conduktor Partner Zones | |
|---|---|---|---|
| Infrastructure required | New cluster per partner | New cluster per partner | None — uses existing cluster |
| Data replication | Yes — full topic replication | Yes — full topic replication | No — direct proxied access |
| Partner onboarding | Weeks of engineering | Days–weeks | Minutes via API or Console |
| Field-level access control | Not supported | Not supported | Per-partner masking and encryption |
| Audit trails | Manual, fragmented | Limited | Centralized, automated |
| Cost per partner | $50–200K+ infrastructure | Cluster Linking fees | No additional infrastructure |
| Works with any Kafka provider | Yes | Confluent only | Yes |
What is real-time data sharing?
Real-time data sharing gives external partners access to live event streams as they are produced, rather than periodic batch exports or table snapshots. With Conduktor, partners consume directly from your existing streams through isolated Partner Zones, with masking and encryption applied per reader.
How is this different from Databricks Delta Sharing?
Delta Sharing is built for sharing tables and datasets from a lakehouse, and it does that well. Conduktor shares live streams: partners see events within seconds of production, not on a refresh schedule. Many organizations run both — see Delta Sharing alternatives for a detailed comparison.
Do partners need their own Kafka cluster?
No. Partners connect to your existing cluster through Conduktor Gateway using standard Kafka clients. Nothing is replicated, and no partner-side infrastructure is required beyond a consumer application.
How is shared data secured?
Every Partner Zone enforces authentication, topic-level access control, field-level masking, and encryption at the proxy, before data leaves your organization. All access is logged for audit, and revoking credentials cuts access instantly.
We already have a DMZ cluster and MirrorMaker setup. Does this replace it?
Partner Zones eliminate the need for replica clusters and replication pipelines for new partnerships. For existing setups, our team can walk you through how other organizations have transitioned — the architecture is significantly simpler to operate than what most teams have built.
How is Conduktor different from Kafka MirrorMaker or Cluster Linking?
Unlike MirrorMaker and Cluster Linking, Conduktor does not replicate data. Partners access your existing cluster directly through isolated Partner Zones — no duplicate clusters, no replication lag, no additional infrastructure cost.
Do partners need special Kafka clients or SDKs to connect?
No. Partners connect using any standard Kafka client (librdkafka, Java, etc.) pointed at Conduktor Gateway. No custom SDKs, no integration libraries, no API wrappers required.
Can different partners see different data from the same topic?
Yes. Field-level masking and encryption are applied per partner — one partner sees full records while another sees masked or redacted fields, all from the same source topic. For use cases requiring record-level filtering by field value, our team can walk through the right architecture for your data model. Book a demo to discuss.
How do I track what each partner is consuming?
Built-in dashboards track bytes consumed per partner, per topic, in real time — giving you the data needed for usage attribution, renewal conversations, and internal ROI reporting.
What happens when a partnership ends?
Revoke the Partner Zone credentials and access terminates immediately. No data cleanup is required because nothing was replicated to a separate cluster.
How does Conduktor help with GDPR, SOC2, and PCI-DSS compliance?
Conduktor generates automated audit logs of every partner access event, enforces field-level encryption and PII masking through Conduktor Gateway, and provides the evidence trail compliance teams need for regulatory reviews.
Can partners produce data back into my Kafka cluster?
Yes. Partner Zones support bidirectional access — partners can both consume and produce, with the same masking, encryption, and access control policies applied in both directions.
Transport & Logistics
OEM dealer networks, supplier integration, logistics partner feeds, and commercial data products — built for automotive and logistics use cases.
Explore → →Financial Services
Regulatory reporting, credit and risk exchange, and FinOps chargeback across partners, regulators, and clouds.
Explore → →Retail & E-commerce
Supplier integration, carrier data feeds, marketplace connectivity, and loyalty partner data.
Explore → →Ready to see a better approach?
Whether you're replacing an existing setup or designing your data sharing architecture from the start, our team can show you how organizations across automotive, financial services, and logistics have done it — and help you avoid the approaches that don't scale.