pg-event-proxy-example VS airbyte

Compare pg-event-proxy-example vs airbyte and see what are their differences.

pg-event-proxy-example

Send NOTIFY and WAL events from PostgreSQL to upstream services (amqp / redis / mqtt) (by subzerocloud)

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. (by airbytehq)
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pg-event-proxy-example airbyte
1 139
8 14,217
- 3.5%
10.0 10.0
over 2 years ago about 16 hours ago
PLpgSQL Python
- 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.

pg-event-proxy-example

Posts with mentions or reviews of pg-event-proxy-example. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-22.

airbyte

Posts with mentions or reviews of airbyte. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

When comparing pg-event-proxy-example and airbyte you can also consider the following projects:

maxwell - Maxwell's daemon, a mysql-to-json kafka producer

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

walex - Postgres change events (CDC) in Elixir

dagster - An orchestration platform for the development, production, and observation of data assets.

temporal_tables - Postgresql temporal_tables extension in PL/pgSQL, without the need for external c extension.

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

connectors - Connectors for capturing data from external data sources

meltano

debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

talk-transcripts - Transcripts of Clojure-related talks

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs