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Aiven Introduces an Open Source Streaming Ecosystem for Apache Kafka

Aiven’s Apache Kafka portfolio is the first and only fully open source based event streaming framework

Aiven, the open source cloud data platform, announced a complete open source streaming ecosystem for Apache Kafka, delivering a robust– and fully open source real-time data ecosystem with the latest additions of its beta service of Aiven for Apache Flink, a stream processing framework, and Klaw, a data governance tool for Apache Kafka.

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“As a leader in the open source community, Aiven is on a mission to manage software that makes developers’ lives easier – and with our complete, open source streaming ecosystem of technologies around Aiven for Apache Kafka, we’re able to do just that and more for our users”

As the first to offer managed Apache Kafka in the cloud back in 2016, Aiven has become the one, true open source Apache Kafka offering in the market. With the recent acquisition of Klaw, Aiven now provides a comprehensive portfolio of solutions and services around Apache Kafka to let customers transport, manage, process, operate and efficiently govern their organization’s streaming data in real-time. Customers utilizing the Aiven platform can now tap into new capabilities with Aiven’s streamlined, truly end-to-end open source event streaming architecture. Aiven recently announced Klaw in September 2022 after acquiring Kafkawize, a self-service open source data governance tool for Apache Kafka.

“As a leader in the open source community, Aiven is on a mission to manage software that makes developers’ lives easier – and with our complete, open source streaming ecosystem of technologies around Aiven for Apache Kafka, we’re able to do just that and more for our users,” said Oskari Saarenmaa, CEO and Co-Founder of Aiven. “I couldn’t be more excited to share this streaming ecosystem with the community and continue fueling innovative, data-intensive open source technologies.”

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Here is the complete open source streaming architecture included in Aiven’s open source streaming ecosystem for Apache Kafka:

  • Aiven for Apache Kafka: the core event streaming framework, allowing real-time data transport for any organization. Manage, operate and transport your data streams reliably and in one place, with the ability to also integrate with other Aiven services, cloud regions and external systems.
  • Aiven for Apache Kafka Connect: a fully managed, fully open source, distributed service enabling customers to integrate existing data sources and sinks seamlessly with Aiven for Apache Kafka
  • Aiven for Apache Kafka MirrorMaker2: a fully managed, fully open source distributed data replication service for cluster to cluster data replication, disaster recovery and geographic proximity across multiple regions and cloud providers.
  • Aiven for Apache Flink (beta): a fully managed, fully open source streaming SQL engine for stateful stream processing over data streams
  • Karapace: a fully open source Kafka Schema Registry that applications can access to serialize and deserialize messages with popular formats such as AVRO, Protobuf and JSON
  • Klaw: an open source data governance tool that helps enterprises exercise Apache Kafka® topic and schema governance in a self-service manner

“We’ve been using a variety of solutions from Aiven for our event streaming needs, such as Aiven for Apache Kafka and Aiven for Apache Kafka Connect. The combination of Kafka from Aiven, its APIs, and the Terraform provider from Aiven, has enabled us to automate almost everything: configuration, deployment, and maintenance,” said Carlos Olmos, Senior Principal Software Engineer from Everactive, an IoT platform based on self-powered sensor devices and low-power wireless communication. “Aiven’s support and tooling around Kafka has empowered us to embrace Kafka at Everactive and harness the potential of our streaming data.”

Streamlining solutions into one, Aiven’s open source streaming ecosystem for Apache Kafka enables both customers and developers to focus on what really matters – how to drive data outcomes effortlessly.

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