SQLStreamBuilder October Feature Update

Our mission has remained clear—to build the best way to create, manage stream processing jobs using SQL, so you can work with your Kafka clusters, databases, and processing logic like the databases you know.

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Introducing SQLStreamBuilder

Today, we are launching SQLStreamBuilder (SSB): an interface to declare stream processing jobs using SQL. SQLStreamBuilder provides a powerful interface for writing SQL as well as managing SQL jobs.

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Apache Flink: Checkpoints And Savepoints

To understand the value of Apache Flink, it’s still important to know the difference between a checkpoint and a savepoint. These mechanisms for saving state are similar in design but used for two different purposes.

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The Eventador Stream Processing Stack

Eventador allows you to quickly build and manage modern streaming data workflows on top of these state of the art platforms – Kafka and Flink.

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Apache Flink® On Eventador.Io

With the addition of Apache Flink – Eventador.io has a true end-to-end enterprise-grade stream processing platform. We run the complex infrastructure and provide support, you can focus on your streaming code.

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Microservices Enable Our New Enterprise Plan

Customer began asking for additional deployment options: they wanted the scalability and performance of Kafka teamed with the compute capabilities of Flink, and the support, tooling, management, and ease of use of Eventador.

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Announcing Apache Flink 1.3 On Eventador.Io (Beta)

Flink has become popular in recent years—a number of companies have started weaving it into their data backbones for critical line-of-business applications. We’ve had numerous discussions with customers about Flink. Our path became clear.

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