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Uses a page-based mapping system for fast locking and efficient, distributed, client-side caching. ODABA: 12.3.0 (August 2013) C++, .NET SQL subset, DQL Basic Types, Classes, Multiple inheritance, Weak Typed GPL: Terminology-oriented database: OpenAccess: 2.2 C++: no Proprietary: EDA database: OpenLink Virtuoso (Virtuoso Universal Server) 7.2.7 ...
db4o (database for objects) was an embeddable open-source object database for Java and .NET developers. It was developed, commercially licensed and supported by Actian.In October 2014, Actian declined to continue to actively pursue and promote the commercial db4o product offering for new customers.
With an LMDB instance being in shared memory and the B+ tree block size being set to the OS page size, access to an LMDB store is extremely memory efficient. [7] New data is written without overwriting or moving existing data. This guarantees data integrity and reliability without requiring transaction logs or cleanup services.
Berkeley DB (BDB) is an embedded database software library for key/value data, historically significant in open-source software. Berkeley DB is written in C with API bindings for many other programming languages. BDB stores arbitrary key/data pairs as byte arrays and supports multiple data items for a single key.
This is a computer vision and artificial intelligence library. [14] [15] It implements a number of image processing algorithms and filters. It is released under the LGPLv3 and partly GPLv3 license. Majority of the library is written in C# and thus cross-platform. [citation needed] Functionality of AForge.NET has been extended by the Accord.NET ...
The programming language C# version 3.0 was released on 19 November 2007 as part of .NET Framework 3.5.It includes new features inspired by functional programming languages such as Haskell and ML, and is driven largely by the introduction of the Language Integrated Query (LINQ) pattern to the Common Language Runtime. [1]
Azure SQL Database defines connection limits based on the selected tier, while Azure SQL Managed Instance enforces limits based on allocated resources, such as CPU, memory, or vCores. When connection pool configurations exceed these limits, issues such as rejected connections, throttling, or degraded performance can occur.
The size of a thread pool is the number of threads kept in reserve for executing tasks. It is usually a tunable parameter of the application, adjusted to optimize program performance. [ 3 ] Deciding the optimal thread pool size is crucial to optimize performance.