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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 ...
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]
Users of the software usually make their own database of cards, although pre-made Mnemosyne databases are available, and it is possible to import SuperMemo collections and text files. SQLite is used by the program to store files. Imports of flashcard databases from Anki, as well as databases from older versions of Mnemosyne are possible.
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;
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 ...
Print/export Download as PDF; Printable version; In other projects ... Template:Database This page was last edited on 5 December 2024, at 20:43 (UTC). ...
[1] [2] The interface of an object conforming to this pattern would include functions such as Insert, Update, and Delete, plus properties that correspond more or less directly to the columns in the underlying database table. The active record pattern is an approach to accessing data in a database. A database table or view is wrapped into a class.
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 ...