pg-event-proxy-example
debezium
| pg-event-proxy-example | debezium | |
|---|---|---|
| 1 | 80 | |
| 8 | 9,907 | |
| - | 1.3% | |
| 10.0 | 9.9 | |
| over 2 years ago | 6 days ago | |
| PLpgSQL | Java | |
| - | Apache License 2.0 |
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pg-event-proxy-example
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All the ways to capture changes in Postgres
It exists [0] but does not seem to be that interesting to users
[0] https://github.com/subzerocloud/pg-event-proxy-example
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?
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
walex - Postgres change events (CDC) in Elixir
kafka-connect-bigquery - A Kafka Connect BigQuery sink connector
temporal_tables - Postgresql temporal_tables extension in PL/pgSQL, without the need for external c extension.
realtime - Broadcast, Presence, and Postgres Changes via WebSockets
connectors - Connectors for capturing data from external data sources
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
hudi - Upserts, Deletes And Incremental Processing on Big Data.
talk-transcripts - Transcripts of Clojure-related talks
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.