Protobuf
gRPC
Messagepack
Apache Thrift
TOML
YAML
Avro
JSON
Apache Kafka
RabbitMQ
Apache ActiveMQ
Amazon SQS
StatCounter
Histats
AFSAnalytics
IBM MQ
Protobuf Apache KafkaApache Kafka might be a bit more popular than Protobuf. We know about 120 links to it since March 2021 and only 82 links to Protobuf. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Protocol Buffers: https://developers.google.com/protocol-buffers. - Source: dev.to / over 1 year ago
ProtocolBuffers’ OneOf message addresses the case of having a message with many fields where at most one field will be set at the same time. - Source: dev.to / over 1 year ago
That's definitely the bigger thing. I think something like Protocol Buffers (Protobuf) is what you're looking for there. Output the data and consume it by something that can handle the analysis. Source: over 1 year ago
These protocols prevent an O(N x M) explosion of code that have to solve for many cases. For example, since JSON is an almost ubiquitous format for wire transfer (although other things do exist like protobufs), if I had N data formats that I want to serialize, I only need to write N serializers/deserializers (SerDes). If there was no such narrow waist and there were M alternatives to JSON in wide usage, I would... Source: over 1 year ago
gRPC uses protocol buffers (it is an open source message format) as the default method of communication between client and server. Also, gRPC uses HTTP/ 2 as the default protocol. - Source: dev.to / over 1 year ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 2 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 4 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 4 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 4 months ago
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
RabbitMQ - RabbitMQ is an open source message broker software.
Messagepack - An efficient binary serialization format.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Apache Thrift - An interface definition language and communication protocol for creating cross-language services.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.