Search Results for "disk clone linux"
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Showing 81 open source projects for "disk clone linux"
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Redis
An in-memory database that persists on disk
Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. You... -
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UnQLite
An Embedded NoSQL, Transactional Database Engine
UnQLite is an in-process software library that implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB, etc. as well as a standard Key/Value store similar to BerkeleyDB, LevelDB, etc. UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes... -
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HypoPG
Hypothetical Indexes for PostgreSQL
HypoPG is a PostgreSQL extension that allows you to create hypothetical indexes without actually building them on disk. It helps developers and DBAs test the impact of potential indexes on query performance before committing resources. By simulating indexes, HypoPG assists in query optimization and index strategy planning without any performance or storage cost. -
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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. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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dqlite
Embeddable, replicated and fault tolerant SQL engine
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (distributed SQLite) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client... -
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H2 Database
H2 is an embeddable RDBMS written in Java
Welcome to H2, the Java SQL database. Very fast, open source, JDBC API. Embedded and server modes; in-memory databases. Browser-based Console application. Small footprint: around 2.5 MB jar file size. Browser-based Console application. Encrypted databases. Fulltext search. Pure Java with small footprint: around 2.5 MB jar file size. ODBC driver. This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers in... -
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Dolt
Dolt, it's Git for data
Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a git repository. Connect to Dolt just like any MySQL database to run queries or update the data using SQL commands. Use the command line interface to import CSV files, commit your changes, push them to a remote, or merge your teammate's changes. All the commands you know for Git work exactly the same for Dolt. Git versions files, Dolt versions tables. It's like Git and MySQL had a baby. We also built... -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
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pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly... -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores... -
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Irmin
Irmin is a distributed database
...Backup and restore your data at any point in time. You can use Irmin on top of your own storage layer. Automatic (de)serialization for custom data types. Runs anywhere from Linux to web browsers and Xen unikernels. Bi-directional compatibility with the Git on-disk format. Irmin state can be inspected and modified using the Git command-line tool. Allows users to define custom merge functions and create event-driven workflows using a notification mechanism. Runs anywhere from Linux to web browsers and Xen unikernels. ... -
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Lightning Design System for React
Salesforce Lightning Design System for React
Accessible, localization-friendly, presentational React components. The Lightning Design System for React is an implementation of the Lightning Design System with accessible patterns and established best practices. The source code is licensed under BSD 3-Clause. For a no hassle setup and compatibility with Create React App, transpiled ES6 and CommonJS module versions have been included within the NPM package. If using this setup, please re-write the import statement in the documentation site... -
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ImmortalDB
A relentless key-value store for the browser
ImmortalDB is the best way to store persistent key-value data in the browser. Data saved to ImmortalDB is redundantly stored in Cookies, IndexedDB, and LocalStorage, and relentlessly self heals if any data therein is deleted or corrupted. For example, clearing cookies is a common user action, even for non-technical users. And browsers unceremoniously delete IndexedDB, LocalStorage, and/or SessionStorage without warning under storage pressure. ImmortalDB is resilient in the face of such... -
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ShardingSphere
Distributed database ecosphere
Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native. Apache ShardingSphere aiming at reasonably making full use of the computation and storage capacity of existed database in... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure.... -
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HyperSQL Database Engine (HSQLDB)
Relational Database
HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2023. A small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multiversion concurrency and ACID. -
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chb
Lightweight on-disk hash table for fast key-value storage in pure PHP
CHB (Colony Hash Bucket) is a lightweight on-disk hash table designed for simplicity, predictability, and fast key-value lookups. Data is organized into a fixed-size bucket directory that maps hash values to chains of records stored in a compact append-only area. Each record contains a pointer to the next record in the chain, a key-length field with deletion flag support, and a fixed-size payload area. Bucket count and record size are configurable at file creation time, allowing CHB to be... -
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AmberDB - NoSQL database engine in Perl
High-performance, NoSQL engine with transactions for Perl
AmberDB is a high-performance, flat-file NoSQL database engine for Perl built on top of Berkeley DB (DB_File). It combines the speed of flat-file storage with enterprise features: schema-driven multi-dimensional indexing, ACID-compliant transactions with Strict Two-Phase Locking (Strict 2PL), columnar faceted navigation, multilingual locale processing, and native RAM-disk caching. -
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Barman for PostgreSQL
Backup and Recovery Manager for PostgreSQL
Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. 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. -
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MayWeb
About MayWeb is a lightweight, beautifully designed local development
About MayWeb is a lightweight, beautifully designed local development environment built with ❤️. It lets you control Apache, MySQL, Redis, PHP versions, and more-all from a fast, modern UI. Ideal for developers who want performance, simplicity, and style in one powerful tool. -
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XLocate
Conveniently search and update any volume
...XLocate’s versions from 0.81 keep track of your disk partitions using their UUID, so you don’t have to specify anything in order to add them to the catalogue. You can conveniently search for files using any of the locate tools, even if not installed in your path. You can also transparently create and update indices from within the application. -
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LocustDB
Massively parallel, high performance analytics database
...To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path. -
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Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
Skiplist-CPP is a lightweight key-value storage engine implemented in C++ using a skip list as its core data structure. It showcases how a log-structured, ordered index can deliver fast inserts, lookups, and deletes while remaining simple to implement and reason about. The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. Beyond in-memory operations, it demonstrates persistence through data dump to disk...
