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Castra is an on-disk, partitioned, compressed, column store with a focus on time-series applications. It provides efficient columnar range queries.

• Efficient on-disk: Castra stores data on your hard drive in a way that you can load it quickly, increasing the comfort of inconveniently large data.
• Partitioned: Castra partitions your data along an index, allowing rapid loads of ranges of data like "All records between January and March"
• Compressed: Castra uses Blosc to compress data, increasing effective disk bandwidth and decreasing storage costs
• Column-store: Castra stores columns separately, drastically reducing I/O costs for analytic queries
• Tabular and time-series data: Castra plays well with Pandas and is an ideal fit for append-only applications like time-series

Castra is new and not ready for public use.