Search Results for "ram"
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Showing 12 open source projects for "ram"
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PikaPython
An ultra-lightweight Python interpreter that runs with only 4KB of RAM
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, and zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar projects: MicroPython, JerryScript. -
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rosedb
High performance NoSQL database based on bitcask
A high-performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. rosedb is a fast, stable, and embedded NoSQL database based on bitcask, that supports a variety of data structures such as string, list, hash, set, and sorted set. Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask. -
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manticoresearch
Easy to use open source fast database for search
...Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. It speaks SQL over HTTP and uses the MySQL protocol (you can use your preferred MySQL client). JSON over HTTP: to provide a more programmatic way to manage your data and schemas, Manticore provides a HTTP JSON protocol. Written fully in C++: starts fast, doesn't take much RAM, and low-level optimizations provide good performance. ... -
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DictDataBase
A python NoSQL dictionary database, with concurrent access and ACID
DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities. -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
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AvanceDB
An in-memory database based on the CouchDB REST API
AvanceDB is a high-performance, in-memory database designed to accelerate SQL-based applications. It uses advanced caching techniques to reduce database latency and improve query execution speed, making it ideal for real-time analytics and transactional workloads. -
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Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
...Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements * Java 1.6 and up * At least 4 MB of RAM New in 3.2 (01/18/2013) * Improved auto-update functionality * Bug fixes -
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The goal of Space4J is to transparently maintain your Java objects in memory without making you worry about how they are going to be persisted. Every time your application is started, your objects will just be sitting there in RAM memory waiting for you.
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A "all-in-a-page" tool to monitor all vital information of a DB2 RDBMS server, including OS Vital Information, such as RAM, SWAP and filesystem usage.
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8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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This is an implementation of the java DOM specification that keeps all its "parsed-node" data in disk files instead of RAM. This means you can create really big DOM trees an not use all your RAM.
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[PROJECT ABANDONED] This project will provide a 100% pure Java database implementation accessible via JDBC. The database is stored in plaintext files and loaded into RAM at runtime. Implements mySQL datatypes for trivial migration to/from mySQL.
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C++ wrapper for SQLite that uses method names and behaves largely like mysql functions of PHP. Caches existing databases completely into RAM and overwrites update database upon objects' destruction.
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