Best Serverless Platforms for Apache Kafka
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Compare the Top Serverless Platforms that integrate with Apache Kafka as of July 2025
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This a list of Serverless platforms that integrate with Apache Kafka. Use the filters on the left to add additional filters for products that have integrations with Apache Kafka. View the products that work with Apache Kafka in the table below.
What are Serverless Platforms for Apache Kafka?
Serverless platforms are cloud computing services that allow developers to build and deploy applications without managing the underlying infrastructure, such as servers or virtual machines. These platforms automatically handle the scaling, provisioning, and maintenance of resources, allowing developers to focus on writing code and implementing business logic. Serverless platforms typically provide a pay-as-you-go pricing model, where users only pay for the actual resources used during execution rather than for idle time. Features of serverless platforms include automatic scaling, event-driven architecture, and support for various programming languages and services. Popular serverless platforms are commonly used for web applications, microservices, APIs, and data processing. Compare and read user reviews of the best Serverless platforms for Apache Kafka currently available using the table below. This list is updated regularly.
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Upstash
Upstash
Blend the performance of in-memory with the durability of disk storage enabling many use cases beyond caching. You can leverage multi-region replication with global databases. True Serverless Kafka where price scales to zero. With per-request pricing, you only pay what you use. Built-in REST API allows you to produce and consume your Kafka topics from anywhere. Start free, then pay only for what you use with per-request pricing. Forget your expensive server/instance. Use Upstash as much as you need, you'll never pay more than the cap price, guaranteed. Upstash REST API enables access from Cloudflare Workers and Fastly Compute@Edge. With the global database, you can access your database from anywhere with very low latency. Low latency data, ease of use, and pay-per-request pricing makes Upstash a perfect choice for the Jamstack and Serverless world. With servers/instances, you pay per hour or a fixed price. With Serverless, you pay per request.Starting Price: $0.2 per 100K commands -
2
Quix
Quix
Building real-time apps and services require lots of components running in concert: Kafka, VPC hosting, infrastructure as code, container orchestration, observability, CI/CD, persistent volumes, databases, and much more. The Quix platform takes care of all the moving parts. You just connect your data and start building. That’s it. No provisioning clusters or configuring resources. Use Quix connectors to ingest transaction messages streamed from your financial processing systems in a virtual private cloud or on-premise data center. All data in transit is encrypted end-to-end and compressed with G-Zip and Protobuf for security and efficiency. Detect fraudulent patterns with machine learning models or rule-based algorithms. Create fraud warning messages as troubleshooting tickets or display them in support dashboards.Starting Price: $50 per month -
3
DBOS
DBOS
A simpler, more secure way to build fault-tolerant cloud applications, powered by the revolutionary cloud-native DBOS operating system. Based on 3 years of joint MIT-Stanford open source R&D, DBOS revolutionizes cloud-native architecture. DBOS is a cloud-native OS that builds on a relational database to radically simplify today's complex cloud application stacks. DBOS powers DBOS Cloud, a transactional serverless platform that provides fault-tolerance, observability, cyber-resilience, and easy cloud deployment to stateful TypeScript applications. OS services are implemented on top of a distributed DBMS. Built-in transactional, fault-tolerant state management that simplifies the stack, with no need for containers, cluster management, or workflow orchestration. Seamless scaling, high performance, and high availability. Metrics, logs, and traces are stored in SQL-accessible tables. Smaller cyber attack surface, cyberattack self-detection, and cyber-resilience.
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