Vector by Datadog

At first glance, Vector looks a lot like some other logging infrastructure tools you might be familiar with. It can ingest data in a number of ways (tailing files, syslog messages over the network, etc), it can process that data in flight (regex and JSON parsing, filtering, sampling, etc), and it can send the raw or processed data to a variety of external systems for storage and querying. Whether it's rsyslog, logstash, fluentd, or another example, it's more likely than not that something with this basic set of features is running in your infrastructure.

On top of this basic functionality, Vector adds a few important enhancements:

1. A richer data model, supporting not only logs but aggregated metrics, fully structured events, etc
2. Programmable transforms that let you parse, filter, aggregate, and otherwise manipulate your data in arbitrary ways
3. Uncompromising performance and efficiency that enables a huge variety of deployment strategies