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ProxySQL vs Skor: What are the differences?
Developers describe ProxySQL as "A High-performance, GPL licensed MySQL proxy". It has an advanced multi-core architecture. It's built from the ground up to support hundreds of thousands of concurrent connections, multiplexed to potentially hundreds of backend servers. It helps you squeeze the last drop of performance out of your MySQL cluster, without controlling the applications that generate the queries. On the other hand, Skor is detailed as "Listen to Postgres events and forward them as JSON payloads to a webhook". skor is a utility for Postgres which calls a webhook with row changes as JSON whenever an INSERT, UPDATE or DELETE event occurs on a particular table. You can drop the docker image next to your Postgres database instance and configure a webhook that will be called.
ProxySQL and Skor can be primarily classified as "Database" tools.
Some of the features offered by ProxySQL are:
- Query caching
- Query Routing
- Supports failover
On the other hand, Skor provides the following key features:
- When you want to trigger an action in an external application when a table row is modified.
- When you want a lightweight notification system for changes in the database.
- When you want to send the changes to a message queue such as AMQP, Kafka etc.