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About Aiven for Apache Kafka

Aiven for Apache Kafka is a managed event streaming platform from Aiven that provides an efficient solution for building microservices, supporting event-driven architecture, and creating streaming pipelines. It includes features such as compliance with HIPAA, PCI-DSS, GDPR, and CCPA, ensuring that data handling meets regulatory standards. The platform allows developers to set up a Kafka cluster in just two minutes, simplifying the process from zero to the first message. With its focus on security and compliance, Aiven for Apache Kafka is suitable for businesses looking to implement reliable event streaming solutions. Key capabilities: managed service microservices support event-driven architecture streaming pipelines compliance features Best for: developers that need a compliant event streaming service.

Aiven for Apache Kafka Details

Vendor
Aiven
Year Launched
2016
Location
Helsinki (HQ) Aiven Oy Antinkatu 1, 6th floor, 00100 Helsinki, Finland
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English, German, French
Users
Medium to large enterprises, DevOps teams, Data engineers, Cloud architects, AI/ML teams
Industries Served
Technology, eCommerce, Financial Services, Telecommunications, Media, Analytics
Tags
Database, Apache Kafka

Aiven for Apache Kafka's In-App Market Place

Does Aiven for Apache Kafka have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), INR (₹), RUB (₽), MXN (Mex$), BRL (R$), SEK (kr), SGD (S$), NOK (kr), HKD (HK$), KRW (₩)

Pros & Cons

  • Easy and fast setup across multiple cloud providers.
  • Great customer support and helpful documentation.
  • Reliable managed Kafka service with high uptime.
  • Enables scalable real-time analytics and microservices architecture.
  • Eliminates need for internal operational support or self-hosting.
  • Slightly expensive compared to self-managed alternatives.
  • Limited features or customizability in Kafka Connect and connectors.
  • Some advanced features require workarounds or external tools.
  • Logs and metrics visibility could be improved.
  • Can feel restrictive for highly customized enterprise use cases.

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