Apache Kafka Hosting

Deploy enterprise-grade Kafka clusters on Kamatera cloud infrastructure.

A distributed event streaming platform used for building real-time data pipelines and streaming applications that handle high-throughput data feeds.

Why Choose Kafka on Kamatera?

Tune your JVM settings, optimize your broker configurations, and manage your metadata exactly how your application requires with full root access.
Connect backend services through asynchronous event streams, allowing your architecture to scale more efficiently and operate with reduced inter-service dependency.
Aggregate logs from all servers and applications into a single Kafka pipeline, making it easier to route data into monitoring, alerting, or analytics systems.
Handle high-volume background tasks by using Kafka as a reliable message queue for processes such as media handling, email distribution, or data pipeline execution.

Price Calculator

App Version

Type ? Type A – Availability – Server CPUs are assigned to a non-dedicated physical CPU thread without guaranteed resources.
Type B – General Purpose – Server CPUs are assigned to a dedicated physical CPU thread with reserved resources guaranteed.
Type T – Burstable – Server CPUs are assigned to a dedicated physical CPU thread with reserved resources guaranteed. Exceeding an average CPU usage of 10% will be extra an charged for CPUs usage consumption.
Type D – Dedicated – Server CPU are assigned to a dedicated physical CPU Core (2 threads) with reserved resources guaranteed.

vCPU (Processors) ? Select the number of vCPUs you would like to have installed on your server. You can choose up to 104 vCPUs per server, based on Intel’s latest Xeon Platinum/Cascade Lake, 2.7GHz+ processors. 1 vCPU = 1 Virtual CPU Core.

Internet Traffic included ? Unmetered bandwidth includes up to 50 Mbit/sec per month. Any usage beyond this limit is charged at $3.00 per additional MB.

Data Center ? Select the data center where you want to create your server.

RAM (Memory) ? Select the amount of RAM you would like to have installed on your server

NVMe SSD Storage ? Select the server’s NVMe SSD disk storage size, based on an NVMe SSD SAN storage array. You can add up to 16 drives per server. + Add storage

Extended daily backup ? Highly Recommended. Check box if you would like to have extended daily backup of your server’s storage to an additional external storage array and the ability to restore previous file/directory/storage versions.

Managed service ? Check box if you would like us to manage your server’s Operating System and System Configuration. If you are not familiar with Server Operating Systems, this option is highly recommended.

Per Month

Per Hour

Additional traffic is only $0.01 per GB
Additional storage is only $0.05 per GB per month
Hourly servers are billed per minute

$12,00 /hour

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Frequently asked questions

What is Apache Kafka?

Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. Think of it as a high-performance message queue combined with a distributed database for logs. Applications publish events (messages) to topics, and other applications subscribe to those topics to consume events. Originally built at LinkedIn, Kafka now powers event-driven architectures at thousands of companies including Uber, Netflix, and Airbnb.

What are systems requirements for deploying Apache Kafka?

Here are the essential system requirements for deploying Apache Kafka:

Operating Systems:
Linux (preferred for production)
macOS (for development/testing)
Windows (for development/testing only; not recommended for production)

CPU:
Minimum: 2 cores
Recommended: 4+ cores for production

RAM:
Minimum: 4 GB
Recommended: 8–16 GB per broker for production

Storage:
NVMe SSDs recommended
Minimum: 100 GB per broker
Production: multiple terabytes depending on data volume
For more detailed information, refer to the Apache Kafka documentation.

What are the most common use cases for Apache Kafka?

Apache Kafka is commonly used for real-time data streaming, allowing applications to process and react to data instantly. It supports event-driven architectures through event sourcing, enabling systems to reconstruct state by replaying events. Kafka also serves as a high-throughput messaging platform, decoupling producers and consumers, and is widely used for log aggregation, centralizing logs from multiple sources for monitoring and analysis. Additionally, it powers stream processing and analytics, real-time ETL pipelines, and metrics collection, making it a versatile backbone for modern data-driven applications.

What types of workloads is Kafka made for?

Kafka is ideal when you need to handle high volumes of real-time data from user activity events, logs, metrics, to system events, and distribute them reliably and efficiently. It supports use cases like real-time analytics, event-driven microservices, log aggregation, background job queues, data integration, stream processing, and real-time notifications or alerting.

What kind of applications benefit most from Kafka on Kamatera?

Applications that generate or handle large/continuous streams of data—e.g. real-time analytics dashboards, user behavior/event tracking, microservices architectures with asynchronous communication, large-scale log collection and processing, massive background job queues (media processing, data imports), or real-time notification systems (webhooks, push notifications, alerts).

What is message retention?

Kafka keeps messages for a set period of time or until a storage limit is reached. This allows consumers to read data at their own pace without losing messages.

Does Kamatera offer technical support?

Kamatera has a global technical support team that is available 24/7/365. Our customer support representatives will provide a prompt response to resolve your concerns.

What are the terms of the free trial?

During the 30-day trial period, you may create one server with a configuration costing up to $100. You will have 1000 GB of free traffic available. Customers must provide a valid credit card to start the trial, but the card will not be charged if you stay within the usage limits stated above. If you wish to cancel the free trial, you can simply terminate your server without incurring any charges. However, if you do not cancel before the trial ends, we will begin charging for services used.