Search Results for "python storage disk manager"

pg_probackup is an advanced backup and recovery tool for PostgreSQL developed by PostgresPro. It supports full, incremental, and differential backups with compression and encryption, and provides fine-grained control over backup and restore processes. It’s designed for enterprise-grade backup strategies in PostgreSQL environments.

Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. It allows to perform remote backups of multiple servers in business critical environments and help DBAs during the recovery phase. Barman's most wanted features include backup catalogs, retention policies, remote recovery, archiving and compression of WAL files and backups. Barman is written and maintained by PostgreSQL professionals 2ndQuadrant.

Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. ...

sqlitedict is a lightweight Python wrapper that provides a persistent dictionary backed by SQLite. Applications interact with stored data using familiar dictionary operations such as indexing, keys, values, items, and length. Values can contain any picklable Python object instead of being restricted to basic SQL types. Multiple independent dictionary tables can live inside the same SQLite database file. The library supports access to one connection from multiple threads while internally...

...The table is indexed by a row key, column key, and a timestamp; each value in the table is an uninterpreted array of bytes. Support RAMDISK/SSD/DFS tiered cache. Block cache and Bloom Filters for real-time queries. Multi-type table support (RAMDISK/SSD/DISK table). Easy to use C++/Java/Python/REST-ful API. Column-oriented storage and locality group support. Ranged and hashed sharding strategies.

DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.