Treasure Data provides a data analytics service with the following key components: - Data is collected from various sources using Fluentd and loaded into PlazmaDB. - PlazmaDB is the distributed time-series database that stores metadata and data. - Jobs like queries, imports, and optimizations are executed on Hadoop and Presto clusters using queues, workers, and a scheduler. - The console and APIs
![Overview of data analytics service: Treasure Data Service](https://cdn-ak-scissors.b.st-hatena.com/image/square/0cf51ab1af9ea68712cc5053ccd87259f98d42ac/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fnavitimecollege201602-160222090101-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)