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Gadfly allows Python programs to store, retrieve and query tabular data without having to rely on any external database engine or package. It provides an in-memory relational database style engine for Python programs, complete with a notion of a "committed, recoverable transaction" and "aborts". [citation needed]
Java, C#, C, Python, Go, Node.js, Perl, libevent, PHP, Ruby, Rust Open Source (AGPL) Flash-optimized in-memory open source NoSQL database. ALTIBASE HDB: Altibase Corporation 1999 Java, C, C++, JDBC, ODBC, SQL Proprietary Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified ...
keep the working copy of the data in-memory (though there is now a variant that keeps the data in a flash-based file); use a client–server architecture to protect the data from corruption by rogue application code; have an 'active query' mechanism to update client applications when relevant database changes occur;
Valkey is an open-source in-memory storage, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. [8] Because it holds all data in memory and because of its design, Valkey offers low-latency reads and writes, making it particularly suitable for use cases that require a cache.
Very large sequence files can exceed a computer's memory resources, so Biopython provides various options for accessing records in large files. They can be loaded entirely into memory in Python data structures, such as lists or dictionaries, providing fast access at the cost of memory usage. Alternatively, the files can be read from disk as ...
Memory segmentation; Locality of reference; Logical disk; Storage virtualization; Virtual memory; Memory-mapped file; Software entropy; Software rot; In-memory database; In-memory processing; Persistence (computer science) Persistent data structure; RAID; Non-RAID drive architectures; Memory paging; Bank switching; Grid computing; Cloud ...
Exasol is an analytics database management software company. Its product is called Exasol, an in-memory, column-oriented, relational database management system [1]. Since 2008, Exasol led the Transaction Processing Performance Council's TPC-H benchmark for analytical scenarios, in all data volume-based categories 100 GB, 300 GB, 1 TB, 3 TB, 10 TB, 30 TB and 100 TB. [2]
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