Kafka choice is still trapped behind platform decisions.
Because choice matters. Run OSS or commercial distributions on a bring-your-own-license basis; mix and match as workloads evolve.
Why Streamtime
Kafka is a protocol now, not just a platform.
In 2026, over a dozen platforms support the Kafka protocol. Choice matters: fit the platform to cost, performance and software-freedom requirements.
Managed Kafka cost escalates in every usage pattern.
Tiny, sleepy clusters pay a premium; at scale, the price becomes unpalatable. In between, enterprise sales premiums still make managed Kafka expensive.
Enterprise controls are bolted on after the fact.
Private networking, encryption, identity and compliance boundaries get tangled with external control planes and limited server-side tuning.
Lock-in turns normal operations into services spend.
The deeper the dependency, the more every migration, optimization and enterprise ask can become another professional-services conversation.
BYOC still leaves an operational experience gap.
The control plane remains a foreign actor in your environment, creating audit risk while operators still carry much of the day-two burden.
Introducing Streamtime
The sovereign streaming architecture for your infrastructure.
A managed control plane coordinates Streamtime Agent and Operator deployments across your cloud, data center and edge environments.
Time to production-grade cluster
5 minutes to a production-grade cluster, like the cloud.
Package the Kafka ecosystem in one box: Apache Kafka, Apache Flink, Kafka Connect and more, delivered through a self-service workflow.
Give teams production-grade streaming infrastructure without turning every request into a bespoke platform project.
Right-sized economics
Automatic right-sizing and predictable costs.
Run physical single-tenant, multi-tenant or virtual clusters with capacity aligned to real workload demand.
Empirically validate and benchmark your baseline performance profile before teams depend on it in production.
AI-assisted SRE
AI-assisted SRE and Day 2 operations.
Use our health agent or connect your own model to Streamtime MCP to handle and triage incident alerts.
Reason deeply about infrastructure metrics, logs and patterns across your fleet at every level of the stack.
Over-the-air updates
Automatic over-the-air updates for the fleet.
Schedule routine upgrades across clusters with automatic zero-downtime rollouts during your configured maintenance windows.
Roll back safely when needed, while preserving the operational experience platform teams expect from a managed service.
Cost attribution
Granular cost attribution and chargeback across the enterprise.
Attribute platform spend by workload, team, tenant and environment with usage data that finance and engineering can both understand.
Support internal billing and chargeback without reverse-engineering opaque managed-service invoices.
Bring your own infrastructure
Powered by a Kubernetes-backed fleet you own.
Bootstrap within minutes on your own cloud, data center or edge fleet. No complex networking patterns required.
Everything runs within your perimeter, with Streamtime Agent and Operator preparing the Kubernetes substrate for real-time workloads.
BYO-everything
Bring your own licenses, domains, OIDC providers and tools.
Integrate deeply with the platforms your enterprise already uses: licenses, identity providers, domains, certificates, observability and automation.
Keep the operating model flexible while standardizing the streaming experience across teams.
Why us
Kafka expertise, enterprise operating model.
Streamtime is built by people who understand real Kafka operations, not just happy-path cluster provisioning.
Built by Kafka experts with Day 2 experience
We design for upgrades, rebalances, incident response, performance tuning, tenancy and the operational details that appear after launch.
Enterprise support
Get a support model for regulated, high-stakes environments where response quality, root cause analysis and operational accountability matter.
Cost and governance
The USP: lower cost, stronger residency, cloud-like operations.
Streamtime is built for enterprises that need managed real-time data without surrendering economics, residency or control.
THE most cost-efficient way to run streaming workloads.
Run production Kafka and real-time data workloads at a fraction of public-cloud managed-service cost, with granular attribution across teams and workloads.
Full data residency, operated just like the cloud.
Keep data in your chosen region, VPC, private cloud or air-gapped compliance environment while giving teams a managed cloud-style experience.
Sovereign Streaming Platform