kafka-rest VS kafka-connect-jdbc

Compare kafka-rest vs kafka-connect-jdbc and see what are their differences.

kafka-connect-jdbc

Kafka Connect connector for JDBC-compatible databases (by confluentinc)
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kafka-rest kafka-connect-jdbc
2 2
2,030 876
1.0% 0.5%
9.1 8.7
5 days ago 6 days ago
Java Java
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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-rest

Posts with mentions or reviews of kafka-rest. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning kafka-rest yet.
Tracking mentions began in Dec 2020.

kafka-connect-jdbc

Posts with mentions or reviews of kafka-connect-jdbc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.
  • How Sendoso is using Kafka for Event-Driven Architecture
    3 projects | dev.to | 31 Aug 2021
    Event sourcing is an effective architectural pattern to record changes to the application state. Event sequence is important - we need changes as they were originally applied. incoming events are first persisted into Kafka and then processed by services independently. Kafka, hence, becomes our source of truth (SOT), a data source that gives a complete picture of the data object as a whole. This, however, meant dramatic changes in our core application. Our source of truth is still the core database, but we generate events in Kafka when data gets persisted. To ensure transactional behavior, we employed Transactional Outbox pattern. Essentially, we a) created a new events table in the database, b) wrote event data in the same transaction when we update our SOT table. Kafka Connect is subsequently used to read this table and insert records in relevant Kafka topics. This ensures that we never have an inconsistent situation where data was inserted in the database but the event is not added to Kafka topic or vice versa. We evaluated a few connectors for sourcing data from Mysql (JdbcSourceConnector, and Debezium). Our scenario was supported out of the box in JdbcSourceConnector, making it possible to have one event table in Mysql where different rows could be routed to a relevant topic based on the topic field.
  • Data Pipeline between PostgreSQL and Cassandra using Kafka Connect
    3 projects | dev.to | 18 Jan 2021
    This is different compared to the "polling" technique adopted by the Kafka Connect JDBC connector

What are some alternatives?

When comparing kafka-rest and kafka-connect-jdbc you can also consider the following projects:

examples - Apache Kafka and Confluent Platform examples and demos

nri-prometheus - Fetch metrics in the Prometheus metrics inside or outside Kubernetes and send them to the New Relic Metrics platform.

Apache Kafka - Mirror of Apache Kafka

kafka-connect-elasticsearch - Kafka Connect Elasticsearch connector

kafdrop - Kafka Web UI

schema-registry - Confluent Schema Registry for Kafka

ksql-udf-deep-learning-mqtt-iot - Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data

cosmosdb-cassandra-kafka

firehose - 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.

postgres-kafka-cassandra - Data Pipeline between PostgreSQL and Cassandra using Kafka Connect

fast-data-dev - Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors