Managed Apache Kafka®
Fully managed Kafka in your environment
24/7 monitoring · 99.99% SLA · Dedicated engineer
All Use Cases
Dattell’s Managed Kafka Service provides end-to-end cluster management, monitoring, and optimization for organizations that rely on Kafka for streaming data pipelines, event-driven architectures, real-time analytics, and AI/ML workloads.
Architecture Support
You’ll work one‑on‑one with a dedicated Kafka architect who becomes an extension of your team. They guide architectural decisions, optimize clusters for stability, efficiency, and high availability, and improve producer/consumer integrations.
Fully Managed
We operate Kafka in your environment—AWS, Azure, Google Cloud, or on‑premises—with 24/7 monitoring and a 99.99% uptime SLA.
Fully Managed Kafka
Service Features
Our managed Kafka service covers capacity planning and scaling, upgrades and patching, performance tuning and migrations, security hardening (TLS, SASL/SCRAM, ACLs), geo‑replication (MirrorMaker 2), archival/tiered storage, multi‑tenancy with quotas, connectors (Kafka Connect), and schema management—paired with predictable flat‑fee pricing.
99.99% SLA & 24/7 monitoring
Exceptional reliability with a 99.99% uptime SLA, 24/7 monitoring, and 15-minute response times. We perform recurring health checks and preventive maintenance to identify and resolve issues before they become incidents.
Personalized support with a dedicated engineer
Work with the same engineer for optimization and preventive maintenance for consistent, personalized support. Our larger bench of engineers ensures experts are on deck 24/7 for incident troubleshooting.
Managed Kafka in your environment
By supporting Kafka within our customers' own cloud or on-prem environments, our customers retain full data authority and complete security control.
Kafka troubleshooting & stabilization
Our team specializes in stabilizing and optimizing Kafka clusters to ensure high availability and performance.
Predictable monthly pricing
Our flat-fee pricing structure eliminates variable costs associated with data throughput, offering clients financial predictability. Implementation, optimization, security, upgrades, and all other enterprise services are included.
Kafka training
All team members who interact with Kafka benefit from understanding best practices. This knowledge will improve each user's experience with Kafka & help ensure peak performance.
Managed Apache Kafka®
Fully Managed Kafka in your environment
24/7 Monitoring · 99.99% SLA · Dedicated Engineer
Dattell’s Managed Apache Kafka Service provides end-to-end cluster management, monitoring, and optimization for organizations that rely on Kafka for streaming data pipelines, event-driven architectures, real-time analytics, and AI/ML workloads. We manage Kafka in your environment, across AWS, Azure, Google Cloud, or on‑premises.
All Use Cases
Dattell’s Managed Apache Kafka Service provides end-to-end cluster management, monitoring, and optimization for organizations that rely on Kafka for streaming data pipelines, event-driven architectures, real-time analytics, and AI/ML workloads.
Architecture Support
You’ll work one‑on‑one with a dedicated Kafka architect who becomes an extension of your team. They guide architectural decisions, optimize clusters for stability, efficiency, and high availability, and improve producer/consumer integrations.
Fully Managed
We manage Kafka in your environment, across AWS, Azure, Google Cloud, or on‑premises—with 24/7 monitoring and a 99.99% uptime SLA.
Fully Managed Apache Kafka®
In your environment · Flat-fee pricing ·
24/7 monitoring · 99.99% SLA · Dedicated engineer
Dattell’s Managed Apache Kafka Service provides end-to-end cluster management, monitoring, and optimization for organizations that rely on Kafka for streaming data pipelines, event-driven architectures, real-time analytics, and AI/ML workloads. We manage Kafka in your environment, across AWS, Azure, Google Cloud, or on‑premises.
Features of Dattell's Managed Kafka Service
Managed Kafka Service Features
Our managed Kafka service covers capacity planning and scaling, upgrades and patching, performance tuning and migrations, security hardening (TLS, SASL/SCRAM, ACLs), geo‑replication (MirrorMaker 2), archival/tiered storage, multi‑tenancy with quotas, connectors (Kafka Connect), and schema management—paired with predictable flat‑fee pricing.
99.99% SLA & 24/7 monitoring
Exceptional reliability with a 99.99% uptime SLA, 24/7 monitoring, and 15-minute response times. We perform recurring health checks and preventive maintenance to identify and resolve issues before they become incidents.
Dedicated engineer for personalized support
Work with the same engineer for optimization and preventive maintenance for consistent, personalized support. Our larger bench of engineers ensures experts are on deck 24/7 for incident troubleshooting.
Predictable monthly pricing
Our flat-fee pricing structure eliminates variable costs associated with data throughput, offering clients financial predictability. Implementation, optimization, security, upgrades, and all other enterprise services are included.
Unlimited clusters per environment
Our approach supports a wide array of connectors without limitations, facilitating seamless data integration across platforms.
Unlimited clusters per environment
Our flexibility enables clients to segment workloads effectively, optimizing resource allocation and management.
No throughput or partition limits
Our managed Kafka service model supports unrestricted scaling, ensuring optimal performance regardless of data volume or partitioning needs.
Managed Kafka in your environment
By managing Kafka in your cloud or on‑premises environment, you retain full data authority and security control.
Kafka training
All team members who interact with Kafka benefit from understanding best practices. This knowledge will improve each user's experience with Kafka & help ensure peak performance.
Managed Kafka by Dattell FAQ
How is Dattell’s Managed Kafka different from AWS or Azure offerings?
Can you migrate my Confluent setup to Apache Kafka?
Do you provide 24/7 monitoring and support?
Unlike cloud-native services that provide only basic cluster hosting, Dattell delivers custom architecture design, security hardening, cross-cloud and on-prem support, training, and direct access to senior engineers.
Yes. We specialize in seamless migrations from Confluent Cloud or Confluent Platform to Apache Kafka, minimizing downtime and preserving your topics, schemas, connectors, and data pipelines.
Absolutely. Our engineers monitor your clusters around the clock, with a guaranteed 15-minute response time for production issues.
Do you support Kafka for AI and ML workflows?
What does onboarding look like?
Can you support hybrid or on-prem Kafka clusters?
You’ll be paired with a Kafka expert as your consistent point of contact. They’ll assess your current architecture, design an optimized deployment, and implement monitoring, scaling, and security controls.
Yes. Many clients run Kafka outside the cloud for compliance, cost control, or performance reasons; we manage those environments as easily as cloud deployments.
Managed Kafka FAQ
How is Dattell’s Managed Kafka different from AWS or Azure offerings?
Unlike cloud-native services that provide only basic cluster hosting, Dattell delivers custom architecture design, security hardening, cross-cloud and on-prem support, training, and direct access to senior engineers.
Can you migrate my Confluent setup to Apache Kafka?
Yes. We specialize in seamless migrations from Confluent Cloud or Confluent Platform to Apache Kafka, minimizing downtime and preserving your topics, schemas, connectors, and data pipelines.
Do you provide 24/7 monitoring and support?
Absolutely. Our engineers monitor your clusters around the clock, with a guaranteed 15-minute response time for production issues.
Do you support Kafka for AI and ML workflows?
Yes. We design, operate, and optimize the Kafka backbone that powers AI products—real‑time data ingestion, streaming feature pipelines, online‑inference request/response topics, and model telemetry/feedback. We integrate Kafka with stream processing , feature stores, embedding services, and vector/search indexes to enable use cases like RAG, anomaly detection, recommendations, and personalization.
What does onboarding look like?
We pair you with one of our Kafka experts who will be your consistent point of contact for the management of your clusters. They will run an assessment of your current architecture, design an optimized Kafka deployment, and implement monitoring, scaling, and security controls.
Can you support hybrid or on-prem Kafka clusters?
Yes. Many clients run Kafka outside the cloud for compliance, cost control, or performance reasons. We manage those environments as easily as cloud deployments.
Enterprise Kafka,
Backed by Experts
Work directly with experienced engineers who specialize in Apache Kafka.
Always-on Kafka.
Experience.
We’ve been providing fault-tolerant, highly optimized Apache Kafka since 2016. We have over 11 PB under management and have saved our clients over $200M in data architecture costs.
Easy to Work With.
We take a high-touch approach to fully managed Kafka. You’ll work with a dedicated engineer who augments your team and leads design, training, and ongoing management. They’re available during the workday via Slack or Teams, as well as for scheduled meetings. And behind them, our deep bench of engineers ensures 24/7 expert support for incident troubleshooting.
Contact us for Managed Kafka
Complete the contact form below for more information on our fully managed Kafka service.
Complete Kafka Management
Explore the wide scope of support included in our managed Apache Kafka service.
We design and deploy fully managed Kafka clusters tailored to your use case, ensuring optimal performance and reliability.
Our engineers fine-tune brokers, producers, and consumers to maximize throughput, minimize latency, and optimize Kafka performance.
We handle seamless Kafka migrations from cloud to on-premises with zero downtime and no data loss.
We architect managed Apache Kafka deployments with built-in redundancy and fault tolerance to eliminate single points of failure.
Our team secures your Kafka environment with encryption, access controls, and compliance-ready configurations.
Move your enterprise Kafka workloads to AWS, Azure, or GCP with expert-led migrations, ensuring zero downtime and no data loss.
Gain peace of mind with proactive monitoring, real-time alerting, and round-the-clock incident troubleshooting for enterprise Kafka.
Our engineers optimize and scale enterprise Apache Kafka clusters to handle high data volumes with consistent reliability.
We apply Kafka upgrades and patches safely and efficiently, ensuring clusters stay current without disrupting operations.
Contact form
Complete the form below for more information on our managed Kafka service.
Contact Form
Complete the contact form below for more information on our managed Kafka service.
Complete Kafka Management
Explore the wide scope of support included in our managed Apache Kafka service.
We design and deploy fully managed Kafka clusters tailored to your use case, ensuring optimal performance and reliability.
Our engineers fine-tune brokers, producers, and consumers to maximize throughput, minimize latency, and optimize Kafka performance.
We handle seamless Kafka migrations from cloud to on-premises with zero downtime and no data loss.
We architect managed Apache Kafka deployments with built-in redundancy and fault tolerance to eliminate single points of failure.
Our team secures your Kafka environment with encryption, access controls, and compliance-ready configurations.
Move your enterprise Kafka workloads to AWS, Azure, or GCP with expert-led migrations, ensuring zero downtime and no data loss.
Gain peace of mind with proactive monitoring, real-time alerting, and round-the-clock incident troubleshooting for enterprise Kafka.
Our engineers optimize and scale enterprise Apache Kafka clusters to handle high data volumes with consistent reliability.
We apply Kafka upgrades and patches safely and efficiently, ensuring clusters stay current without disrupting operations.