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The information in our interactive Radar is currently only available in English. To get information in your native language, please download the PDF here.

TRIAL?

Avro is a framework for data serialization. By storing schema along with the message content, it encourages schema evolution. Producers can edit field names, add new fields or delete existing fields and Avro guarantees that the clients continue to consume the messages. Having a schema allows data to be written without overhead which results in compact data encoding and faster data processing. Although the exchange of structure-less messages between producer and consumer is flexible, we've seen teams facing issues with incompatible unprocessed messages in the queue during deployments. We've used Avro in a number of projects and would recommend using it over just sending unstructured messages.

History for Avro

Nov 2017
Trial?

Avro is a framework for data serialization. By storing schema along with the message content, it encourages schema evolution. Producers can edit field names, add new fields or delete existing fields and Avro guarantees that the clients continue to consume the messages. Having a schema allows data to be written without overhead which results in compact data encoding and faster data processing. Although the exchange of structure-less messages between producer and consumer is flexible, we've seen teams facing issues with incompatible unprocessed messages in the queue during deployments. We've used Avro in a number of projects and would recommend using it over just sending unstructured messages.

Mar 2017
Trial?

Avro is a framework for data serialization. By storing schema along with the message content, it encourages schema evolution. Producers can edit field names, add new fields or delete existing fields and Avro guarantees that the clients continue to consume the messages. Having a schema allows data to be written without overhead which results in compact data encoding and faster data processing. Although the exchange of structure-less messages between producer and consumer is flexible, we've seen teams facing issues with incompatible unprocessed messages in the queue during deployments. We've used Avro in a number of projects and would recommend using it over just sending unstructured messages.