Apache Kafka
Confluent Platform
WarpStream
RedpandaMulti-tenant virtual clusters on any distribution, with hundreds of Connectors including built-in Debezium support, and MirrorMaker for autonomous migrations and disaster recovery.
Introducing Streamtime
The sovereign streaming architecture for your infrastructure.
All your streaming infrastructure, within your perimeter.
Multi-tenant workloads
Private Cloud Managed Services for Streaming.
Managed services for Kafka, Flink, Kafka Streams and ClickHouse — multi-tenant, on one fleet, with one identity model and one operations model.
Apache KafkaConfluent PlatformWarpStreamRedpandaKafka ConnectKafka Streams
Apache FlinkIntegrations and continuous transformation on the same fleet and identity model, with lifecycle, upgrades and recovery handled by the same platform.
ClickHouse
Apache Iceberg
Apache HudiAnalytics directly on live data, integrated with streaming and processing layers under one tenancy, policy and audit model.
Supported infrastructure
Bootstrap anywhere. Or bring your own Kubernetes.
Six first-class bootstrap providers, plus one-click adoption of the Kubernetes estates you already operate.
Production-grade clusters in minutes.
AWS
Azure
Google Cloud
DigitalOcean
Oracle Cloud
CivoAny Kubernetes cluster — cloud, on-prem or bare-metal.
Any CNCF-conformant cluster or OpenShift estate (1.32+), wherever it runs — including on-premise and bare-metal. Just bring standard Kubernetes peripherals — a load balancer and a default CSI storage class — and plug your existing clusters in.
Differentiation
Why teams pick Streamtime over managed Kafka.
Hover a row for details.
| Hyperscaler | PaaS | BYOC | Streamtime | |
|---|---|---|---|---|
| On-prem & air-gap supportiConnected, restricted-egress and fully air-gapped environments run the same APIs, operators and workflows — with self-healing local control planes and auditable, policy-controlled support channels. | Partial | No | Yes | Yes |
| Managed services with SLOsiThe managed-service experience without the managed-service dependency: uptime, recovery and response commitments on infrastructure you own, backed by durable workflows and zero-downtime fleet automation. | Yes | Yes | Partial | Yes |
| Migration assistanceiGuided migrations from existing Kafka estates with MirrorMaker-driven cutover and DR, plus a free TCO assessment with a guaranteed price reduction in writing. | No | No | Partial | Yes |
| Expert 24×7 support servicesiSilver, Gold and Platinum plans cover new deployments and existing Kafka estates, any distribution — escalating straight to engineers who operate production Kafka at scale. | Partial | Yes | Partial | Yes |
| N=1 vertical optimizationsiOptimized for one company, not for everyone: vertical tuning of hardware, topology, storage and runtime for your known workloads, validated by empirical benchmarks instead of capacity guesswork. | No | No | No | Yes |
| Adjacent data workloadsiStream processing with Flink and Kafka Streams, Connect with built-in Debezium, and real-time analytics on ClickHouse and Iceberg — one fleet, identity and operations model. | Partial | Partial | No | Yes |
Time to production-grade clusters
5 minutes to production-grade clusters, like the cloud.
Package the real-time 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
Real-time data expertise, enterprise operating model.
Streamtime is built by people who understand real Kafka and streaming operations, not just happy-path cluster provisioning.
Built by real-time data 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 real-time data workloads.
Run production Kafka, Flink 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 Real-time Data Platform