kafka-streams-in-action
firehose
| kafka-streams-in-action | firehose | |
|---|---|---|
| 1 | 3 | |
| 259 | 313 | |
| - | 0.3% | |
| 0.0 | 2.5 | |
| almost 3 years ago | 10 months ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kafka-streams-in-action
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Unable to run Kafka Streaming App using IntelliJ in Macbook Pro M1
I have started Zookeeper and Kafka in separate terminals (Not in IDE Terminals) and I m able to send and receive messages from Kafka console. I have downloaded https://github.com/bbejeck/kafka-streams-in-action repo and am trying to run basic chapters and even tried creating a sample kafka streaming app as well. When I m starting the app, I m getting the following error:
firehose
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Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
- Firehose: Ingest streaming data to various sinks like HTTP REST, GRPC, and various databases. Firehose on daily basis ingest billions of events to our data warehouses and other storage systems. It is Open Source. Check it out and shoot us a star.
- No-Code Kafka sink to stream Protobuf/JSON data
What are some alternatives?
Pravega - Pravega - Streaming as a new software defined storage primitive
kafka-connect-cosmosdb - Kafka Connect connectors for Azure Cosmos DB
makinage - Stream Processing Made Easy
kafka-connect-jdbc - Kafka Connect connector for JDBC-compatible databases
mongo-kafka - MongoDB Kafka Connector
transit - A bytes first implementation of the Kafka API within an S3 keyspace
Apache Kafka - Mirror of Apache Kafka
siren - Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
raccoon - Raccoon is a high-throughput, low-latency service to collect events in real-time from your web, mobile apps, and services using multiple network protocols.
formula1-telemetry-kafka
dagger - Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.