Open Source Linux Database Software - Page 6
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Database Software for Linux
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The Lemur Project
Search engine and data mining applications and ClueWeb datasets.
The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application. -
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GDBI is a genealogy program integrator. It includes an editor and the lifelines report language. It interfaces to multiple GEDCOM databases and is most popular as a PhpGedView client. At the core is a Java API to simplify adding databases and editors.
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Cortex
A horizontally scalable, multi-tenant, long term Prometheus
Horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus. Durably store data for longer than the lifetime of any single machine, and use this data for long-term capacity planning. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching. Cortex gives you a global view of Prometheus time series data that includes data in long-term storage, greatly expanding the usefulness of PromQL for analytical purposes. Cortex runs across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster. -
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Django Postgres Extra
Bringing all of PostgreSQL's awesomeness to Django
django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency. -
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. -
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FoundationDB
Open source, distributed, transactional key-value store
FoundationDB gives you the power of ACID transactions in a distributed database. FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost. FoundationDB has been running in production for years and been hardened with lessons learned. Backing FoundationDB up is an unmatched testing system based on a deterministic simulation engine. Developers on an OS for which there is no binary package, or who would like to start hacking on the code, can get started by compiling from source. -
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Genji
Document-oriented, embedded SQL database
Genji is an embedded database written in Go that aims to simplify dealing with data in the modern world. It combines the power of SQL with the versatility of documents to provide a maximum of flexibility with no compromise. Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. Genji was designed for simplicity in mind. It is really easy to insert and read documents of any shape. Genji mixes the best of both worlds by combining powerful SQL commands with JSON. Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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GoBackup
CLI tool for backup your databases, files to cloud storages
GoBackup is a simple backup tool for servers, written in Go. It allows users to back up databases, files, and other critical data to various cloud storage providers, ensuring data safety and disaster recovery. -
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MySQLDump - PHP
PHP version of mysqldump cli that comes with MySQL
This is a php version of mysqldump cli that comes with MySQL, without dependencies, output compression and sane defaults. Out of the box, MySQLDump-PHP supports backing up table structures, the data itself, views, triggers and events. MySQLDump-PHP is the only library that supports output binary blobs as hex. Resolves view dependencies (using Stand-In tables). Output compared against original mysqldump. Linked to travis-ci testing system (testing from php 5.3 to 7.3 & hhvm). Dumps stored routines (functions and procedures). Dumps events, does extended-insert and/or complete-insert, supports virtual columns from MySQL 5.7, does insert-ignore, like a REPLACE but ignoring errors if a duplicate key exists, modifying data from database on-the-fly when dumping, using hooks. Can save directly to google cloud storage over a compressed stream wrapper (GZIPSTREAM). -
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SQL Studio
SQL Database Explorer [SQLite, libSQL, PostgreSQL, MySQL/MariaDB
SQL Studio is a database explorer supporting multiple databases like SQLite, libSQL, PostgreSQL, MySQL/MariaDB, DuckDB, and ClickHouse. -
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SQLAlchemy
The Database Toolkit for Python
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow the transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL. -
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dbatools
SQL Server automation and instance migrations have never been safer
Instance migrations and best practice implementations have never been safer, faster or freer. dbatools is PowerShell module that you may think of like a command-line SQL Server Management Studio. The project initially started out as just Start-SqlMigration.ps1, but has now grown into a collection of over 500 commands that help automate SQL Server tasks and encourage best practices. dbatools now works on PowerShell Core (aka PowerShell 6+). This means that you can run a large majority of our commands on Linux and macOS. In addition to the simple things you can do in SSMS (e.g. starting a job, backing up a database), we've also read a whole bunch of docs and came up with commands that do nifty things quickly. By default, all SQL-based commands will login to SQL Server using Trusted/Windows Authentication. -
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mysqlclient
MySQL/MariaDB connector for Python
Summary: mysqlclient is a MySQL/MariaDB connector for Python, providing a convenient interface for database interactions. -
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The MonetDB project has moved to http://www.monetdb.org/.
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xDBD
Borland Database Desktop (DBD32.exe) replacement
This is a fully functional replacement of the Borland Database Desktop, wich is now working on Windows 10. -
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SchemaSpy analyzes database metadata to reverse engineer dynamic Entity Relationship (ER) diagrams. It works with just about any JDBC-compliant database (Oracle/MySQL/DB2/SQL Server/PostgreSQL/Sybase/etc) and can identify Ruby on Rails relationships.
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ChartDB
Database diagrams editor to visualize and design your DB
ChartDB is a web-based database diagramming editor that allows users to visualize and design their database schemas with a single "Smart Query." It offers instant schema import, customization options, and the ability to export SQL scripts, all without requiring an account. ChartDB is ideal for developers and teams looking to streamline database design and documentation. -
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DB Dumper
Dump the contents of a database
DB Dumper is a simple PHP library for creating database dumps of MySQL, PostgreSQL, and SQLite databases. It provides a fluent, expressive API that lets developers configure backup paths, credentials, and additional options. DB Dumper is ideal for integrating automated backups into Laravel or other PHP-based applications. -
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FluentPDO
A PHP SQL query builder using PDO
FluentPDO is a PHP library that provides a fluent interface for building SQL queries using PHP’s PDO. It helps developers write clean, readable SQL-like statements in a programmatic way, simplifying interaction with relational databases while retaining full control. FluentPDO is ideal for lightweight PHP applications that need query flexibility without a full ORM. -
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Hermes JS Engine
A JavaScript engine optimized for running React Native
Hermes-powered apps launch faster, thanks to build-time precompilation of JavaScript into efficient bytecode. Hermes is small in APK size, lean on memory, and starts instantly. It won't weigh your app down. It's simple to get started with Hermes in React Native apps. Hermes is open source and implements JavaScript standards. You will now be in a directory with the output of building Hermes into CLI tools. From here you can run a piece of JavaScript. If you have an existing app based on an earlier version of React Native, you will have to upgrade it first. Each Hermes release is aimed at a specific RN version. The rule of thumb is to always follow Hermes releases strictly. Version mismatch can result in instant crash of your apps in the worst case scenario. Hermes requires Microsoft Visual C++ 2015 Redistributable -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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RisingWave
RisingWave: the next-generation streaming database in the cloud
RisingWave is a cloud-native streaming database that uses SQL as the interface. It is designed to reduce the complexity and cost of building real-time applications. RisingWave consumes streaming data, performs continuous queries, and updates results dynamically. As a database system, RisingWave maintains results in its own storage so that users can access data efficiently. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and materialized CDC sources. Everything you do in RisingWave is via Postgres-compatible SQL. Create materialized views for the data that need to be incrementally aggregated. Query for data in RisingWave, including persisted data and data you add or import to RisingWave. RisingWave makes it easy to manage streams and data. All you need to interact with RisingWave is Postgres-compatible SQL. No Java or Scala codes are needed. -
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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using pip install SpeechRecognition. The first software requirement is Python 2.6, 2.7, or Python 3.3+. This is required to use the library. PyAudio is required if and only if you want to use microphone input (Microphone). PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. To hack on this library, first make sure you have all the requirements listed in the "Requirements" section. -
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ddia
Designing Data-Intensive Application
ddia is a Chinese translation and online reading project for “Designing Data-Intensive Applications.” It covers both the first edition and ongoing second-edition translation work. The repository organizes the book content into chapters about data systems, storage, encoding, replication, partitioning, transactions, distributed systems, consistency, and derived data. It is built for readers who want deep systems design material in Chinese with a structured web reading experience. The project also includes site assets, metadata, layouts, internationalization files, and build configuration for generating the online version. It is best understood as a technical translation, study resource, and open educational reference rather than an application framework. -
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pg_easy_replicate
Easily setup logical replication and switchover to new database
pg_easy_replicate is a simple tool for replicating PostgreSQL data from one database to another using logical replication. It abstracts away the complexity of publication/subscription setup and enables selective table replication. Ideal for developers or data engineers who want quick replication without deep Postgres expertise.
