Secor

Guarantees each Kafka message is persisted exactly once to cloud storage, overcoming eventual consistency models like S3's, as highlighted in the strong consistency feature of the README.

Components can crash at any point without compromising data integrity, ensuring reliability in distributed, failure-prone environments, which is a core feature listed.

Scales easily by adding or removing Secor processes with no impact on data consistency, supporting load distribution across multiple machines for handling increased Kafka loads.

Automatically partitions output data by day, hour, or minute for direct import into systems like Hive, facilitating efficient analytics workflows as described in the output partitioning feature.

Exposes metrics via Ostrich and Micrometer with export options to OpenTSDB and statsD, enabling comprehensive performance tracking, as noted in the monitoring section of the README.