conduktor-poc-kafka-protocol
debezium
| conduktor-poc-kafka-protocol | debezium | |
|---|---|---|
| 1 | 80 | |
| 59 | 9,933 | |
| - | 1.3% | |
| 7.7 | 9.9 | |
| 14 days ago | about 9 hours ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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conduktor-poc-kafka-protocol
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What are your favorite tools or components in the Kafka ecosystem?
They also provide an open-source Kafka proxy which can be used to enhance Kafka with 'interceptors'.
debezium
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
They manage data in the application layer and your original data stays where it is. This way data consistency is no longer an issue as it was with streaming databases. You can use Change Data Capture (CDC) services like Debezium by directly connecting to your primary database, doing computational work, and saving the result back or sending real-time data to output streams.
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Generating Avro Schemas from Go types
Both of these articles mention a key player, Debezium. In fact, Debezium has had a place in the modern infrastructure. Let's use a diagram to understand why.
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debezium VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How the heck do I validate records with this kind of data??
This might be overkill, but you could use an extra tool like https://debezium.io to capture logs about all creates, updates, and deletes in your table
- All the ways to capture changes in Postgres
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Managed Relational Databases with AWS RDS and Aurora
If you're considering a relational database for an event-driven architecture, check out Debezium. It lets you stream changes to relational databases, and subscribe to change events.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
Debezium
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Postgresql to hadoop in real time
https://debezium.io/ comes to mind as an open source product, but there are a gazillion of these tools out there.
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ClickHouse Advanced Tutorial: Apply CDC from MySQL to ClickHouse
Contrary to what it sounds, it’s quite straightforward. The database changes are captured via Debezium and published as events on Apache Kafka. ClickHouse consumes those changes in partial order by Kafka Engine. Real-time and eventually consistent.
- Debezium: Stream Changes from Your Database
What are some alternatives?
kafka-ml - Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
river - 🌊 Online machine learning in Python
kafka-connect-bigquery - A Kafka Connect BigQuery sink connector
bytewax - Python Stream Processing
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
materialize - The data warehouse for operational workloads.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
console - Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
hudi - Upserts, Deletes And Incremental Processing on Big Data.
python-fake-data-producer-for-apache-kafka - The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.