Every #TimeSeriesDatabase is just a set of storage decisions: ➡️ Row layout ➡️ Compression timing ➡️ Partitioning strategy
These choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the choice of database itself. This article works through those fundamentals from first principles, using widely available tools like PostgreSQL and Apache Parquet to make each trade-off measurable.
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