- kafka-connect-jdbc VS nri-prometheus
- kafka-connect-jdbc VS kafka-connect-elasticsearch
- kafka-connect-jdbc VS kafdrop
- kafka-connect-jdbc VS firehose
- kafka-connect-jdbc VS cosmosdb-cassandra-kafka
- kafka-connect-jdbc VS kafka-rest
- kafka-connect-jdbc VS data-mesh-demo
- kafka-connect-jdbc VS postgres-kafka-cassandra
- kafka-connect-jdbc VS kafka-connect-file-pulse
Kafka-connect-jdbc Alternatives
Similar projects and alternatives to kafka-connect-jdbc
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nri-prometheus
Fetch metrics in the Prometheus metrics inside or outside Kubernetes and send them to the New Relic Metrics platform.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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kafka-connect-elasticsearch
Kafka Connect Elasticsearch connector
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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. (by odpf)
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postgres-kafka-cassandra
Data Pipeline between PostgreSQL and Cassandra using Kafka Connect
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Sonar
Write Clean Java Code. Always.. Sonar helps you commit clean code every time. With over 600 unique rules to find Java bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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kafka-connect-file-pulse
🔗 A multipurpose Kafka Connect connector that makes it easy to parse, transform and stream any file, in any format, into Apache Kafka
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better kafka-connect-jdbc alternative or higher similarity.
kafka-connect-jdbc reviews and mentions
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.
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How Sendoso is using Kafka for Event-Driven Architecture
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.
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Data Pipeline between PostgreSQL and Cassandra using Kafka Connect
This is different compared to the "polling" technique adopted by the Kafka Connect JDBC connector
Stats
Basic kafka-connect-jdbc repo stats
2
887
8.4
4 days ago
confluentinc/kafka-connect-jdbc is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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