Comparisons anchored on StarRocks, the Apache-2.0 MPP analytics database and Linux Foundation project that runs shared-nothing or shared-data on object storage.
Two MPP databases with FE and BE architectures and MySQL compatibility compared: governance (Linux Foundation versus Apache Software Foundation), update models, shared-data versus decoupled modes on object storage, lakehouse catalogs, release activity and which suits customer-facing analytics or a lakehouse query layer.
Choosing StarRocks's architecture before go-live: backend nodes with local disks against stateless compute nodes over S3, GCS, Azure Blob, MinIO or HDFS with a tiered cache, and what each means for latency, scaling, cost, recovery and running on Kubernetes with the StarRocks operator.
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