Operational Scalability Challenges
Kafka becomes technically adopted but operationally unscalable
System Fragility and Downtime Risks
Minor errors trigger cascading production failures
Inefficient Compliance Processes
Compliance audits take weeks instead of hours
Uncontrolled Data and Integration Growth
Shadow IT and data pipelines multiply without oversight
Increased Risk Across Integrations
Every integration adds risk instead of value
What You'll Get
Conduktor Scale brings structure, control,
and confidence to enterprise streaming
Unified Control Plane
When enterprises scale beyond 10 clusters across multiple clouds and vendors, the lack of unified control creates measurable operational and financial impact.
Self-service Platform
Enable application teams to provision and manage their own Kafka resources within secure boundaries defined by platform teams, eliminating bottlenecks without sacrificing governance.
Security & Compliance Engine
Define security and compliance rules once, then have them automatically enforced across every cluster, topic, and data flow, with full audit trails and continuous compliance reporting.
Data Quality & Contracts
Enforce data contracts and quality standards in real-time, preventing schema drift and malformed data from breaking downstream systems before damage occurs.
Observability & Intelligence
The Insights Center uses AI to continuously analyze your streaming environment, surfacing issues, recommending fixes, and helping teams prioritize what matters most.
Data Sharing
Enable secure, real-time data sharing with external partners and customers in minutes: no infrastructure duplication, no internal implementation details leaking, no compliance complexity, just a secure and limited gateway to your existing Kafka clusters.
The Conduktor Scale Approach
Transform Kafka into an Observable, Governed, and Self-Service Data Platform
From centralized control to decentralized self-service and data mesh.
Scale adapts to your stage with a flexible permission system, various operational workflows, and built-in monitoring and alerting.
Governance fails when it becomes a bottleneck.
Platform teams define global standards for security, quality, and access. Application teams operate independently within those boundaries through self-service. Autonomy with safety.
You can't govern what you can't see.
Start with visibility across your entire Kafka estate, who owns what, how data flows, where risks exist. Add controls progressively: access management, real-time policy enforcement, based on your maturity.
Problems should be discovered before they cause incidents.
Insight Center continuously analyzes your streaming environment, surfacing security gaps, quality issues, and optimizations with AI-powered recommendations. Act proactively, not reactively.
Every role works with streaming data, but each works differently.
Scale adapts to how teams operate: CLI and UI for developers, APIs for platform engineers, dashboards for governance, all unified by a single governance framework.
Critical data belongs where you decide it's safest.
Scale deploys on-premises, behind firewalls, or across any cloud. We integrate with existing systems instead of forcing infrastructure changes.
Trusted by Leading Enterprises
To Govern Mission-Critical Data Streams
Software Engineer at leading airline which uses Conduktor to empower 2,000+ users with self-service access to Kafka while meeting stringent security and governance standards.
