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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.
...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.
High performance datastore for time series and tick data
...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. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. ...
Serialization + persistance : in a few lines of code, compress and annotate Python objects into SQLite; then later retrieve them chronologically by keywords without any SQL. Most useful "standard" module for a database to store schema-less data.
Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this
"XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.