Open Source Database Software - Page 7
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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directus
Directus wraps any SQL database with a real-time GraphQL+REST API
With over 18 million downloads, Directus is the world's first Open Data Platform for instantly turning any SQL database into an API and beautiful no-code app. Power any project with a modern, open-source data platform. A modern data platform, designed for developers. Our modular codebase is 100% JavaScript, leveraging the power of Node.js and Vue.js 3 for blazing performance and easy extensibility. You remain in complete control of your new or existing database. No need to migrate to a proprietary data model, so there's no vendor lock-in. Directus is the world's leading Open Data Platform, with millions of downloads, thousands of active developers, and we're just getting warmed up. Start with a new or existing database, using any SQL vendor, Directus takes care of the rest. The Directus API layers on top of your database, providing both REST and GraphQL APIs for your data. -
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The MonetDB project has moved to http://www.monetdb.org/.
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Universal Password Manager
Store all your passwords in one secure encrypted database.
Universal Password Manager allows you to store all your passwords in one highly secure encrypted database. Its strengths are simplicity, portability and security (uses 128bit AES encryption). UPM is available on Android, Windows, OS X & Linux. -
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Jena is Java toolkit for developing semantic web applications based on W3C recommendations for RDF and OWL. It provides an RDF API; ARP, an RDF parser; SPARQL, the W3C RDF query language; an OWL API; and rule-based inference for RDFS and OWL. Jena is now an Apache project: http://jena.apache.org/
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Rel
Rel is a database management system (DBMS) that implements Tutorial D.
Rel is a DBMS primarily intended for educational purposes, but also suitable as a desktop DBMS or lightweight server, that implements Date and Darwen's "Tutorial D" true relational database language. Source code is available at https://github.com/DaveVoorhis/Rel -
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Cinemagoer
Python package useful to retrieve and manage the data of IMDb
Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the object. If you know the IMDb id of a movie, you can use the get_movie method to retrieve its data. It’s possible to retrieve the list of top 250 and bottom 100 movies. As on the IMDb site, each TV series and also each of a TV series’ episodes is treated as a regular title, just like a movie. The episodes of a series can be fetched using the “episodes” infoset. -
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EMAGNET
Automated hacking tool to find leaked databases with 97.1% accuracy
Automated hacking tool that will find leaked databases with 97.1% accurate to grab mail + password. Before using Emagnet, please remember that with great power comes great responsibility. Pastebin patched the vulnerability I previously used in order to get recent uploads, so at the moment it is not possible to get recently uploaded files, you are now limited to all syntaxes exempt the default one (95% get's uploaded as 'text' and this is removed from all recent upload lists). Bruteforce support for Spotify accounts, Instagram accounts, ssh servers, Microsoft RDP clients and Gmail accounts. Emagnet is a very powerful tool for capturing email addresses and passwords from leaked databases uploaded on Pastebin. It's almost impossible to find leaked passwords after they're removed from the list on pastebin.com. Either they have been deleted by Pastebin's techs or the upload is just one in the crowd. -
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Isar Database
Extremely fast, easy to use, and fully async NoSQL database
Minimal setup, Easy to use, no config, no boilerplate. Just add a few lines of code to get started. Store hundreds of thousands of records in a single database and query them efficiently and asynchronously. Isar has a rich set of features to help you manage your data. Composite & multi-entry indexes, query modifiers, JSON support and more. Isar has built-in full-text search. Create a multi-entry index and search for records easily. Isar ACID compliant and transactions are handled automatically and all changes are rolled back if an error occurs. The unique query syntax is very powerful and statically typed. No need to worry about runtime errors. Made for Flutter. Easy to use, no config, no boilerplate. The sky is the limit. Composite & multi-entry indexes, query modifiers, JSON support etc. Asynchronous, parallel query operations & multi-isolate support by default. Open source. Everything is open source and free forever! -
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KubeBlocks
KubeBlocks is an open-source control plane that runs and manages datab
Building data infrastructure on K8s has become increasingly popular. However, the most prominent obstacles are the difficulties of integrating with cloud providers, the lack of reliable operators, and the steep learning curve of K8s. KubeBlocks offers an open-source option that helps application developers and platform engineers set up feature-rich services for RDBMS, NoSQL, streaming and analytical systems. No need to be a K8s professional, anyone can set up a full-stack, production-ready data infrastructure in minutes. KubeBlocks extends K8s StatefulSet capability with ReplicationSet and ConsensusSet workloads. They are aware of different roles in a database cluster, and choose the best update strategy with minimal impact on business continuity, monitoring data replication status and automatically fixing errors and lags. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Laravel Options
Global key-value store in the database
Global key-value store in the database. To get started with options, use Composer to add the package to your project's dependencies. Run PHP artisan migrate to migrate the table. There will now be an options table in your database. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand. -
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PgBouncer
lightweight connection pooler for PostgreSQL
PgBouncer is a lightweight, high-performance connection pooler for PostgreSQL. It reduces the overhead of frequent connection handling by maintaining a pool of open connections, which are reused by client applications. PgBouncer supports various pooling modes, transaction-level handling, and authentication mechanisms, making it essential for scaling Postgres-backed applications. -
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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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migrate
Database migrations, CLI and Golang library
Database migrations are written in Go. Use as CLI or import as a library. Migrate reads migrations from sources and applies them in correct order to a database. Drivers are "dumb", migrate glues everything together and makes sure the logic is bulletproof. (Keeps the drivers lightweight, too.) Database drivers don't assume things or try to correct user input. When in doubt, fail. Package migrate reads migrations from sources and runs them against databases. Sources are defined by the `source.Driver` and databases by the `database.Driver` interface. The driver interfaces are kept "dump", all migration logic is kept in this package. -
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mycli
CLI for MySQL with auto-completion and syntax highlighting
mycli is an enhanced command-line client for MySQL and MariaDB that features syntax highlighting and intelligent auto-completion for database queries. Built for developers and DBAs, it improves productivity with features like query history, table suggestions, and colored output. The tool is designed to be both powerful and user-friendly, making interactive database work more efficient and visually intuitive. -
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pgweb
Cross-platform client for PostgreSQL databases
Pgweb is a web-based, cross-platform PostgreSQL database browser written in Go. Go was used in backend development in order to utilize the ability of the compiler to produce zero-dependency binaries for multiple platforms. Pgweb was created as an attempt to build a very simple and portable application to work with local or remote PostgreSQL databases. -
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react-native-picker-select
A Picker component for React Native for iOS and Android
A Picker component for React Native which emulates the native select interfaces for iOS and Android. For iOS, by default we are wrapping an unstyled TextInput component. You can then pass down styles to customize it to your needs. For Android, by default we are using the native Picker component. If you prefer, you can set useNativeAndroidPickerStyle to false, which will also render an unstyled TextInput component. You can then pass down styles to customize it to your needs. For either platform, you can alternatively pass down a child element of your choice that will be wrapped in a touchable area. The component defaults to using the native Android Picker in its un-selected state. Setting this flag to false will mimic the default iOS presentation where a tappable TextInput is displayed. -
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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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GMOD is a set of interoperable open source software components for visualizing, annotating, and managing biological data. See http://gmod.org for more.
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Eclipse SQL Client for database querying/browsing any JDBC compliant database. It supports plugins with specialized functionality for individual databases (Oracle, DB2, MySQL, PostgreSQL, Sybase, Informix) and can be extended.
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Apache Impala
Apache Impala
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis. -
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AppWorks
Front-end R&D tool set based on VS Code plug-in
Use AppWorks to develop Universal Applications quickly. Click "Shop Icon" on the Activity Bar of VS Code. Enter "app works" in the input box to search. Click the Install button on the first app works option. After installation is successful, click the "AppWorks icon" on the Activity Bar of VS Code to start. We have integrated the operations of creating, debugging, and publishing projects into commonly used editors through plug-ins, making the project development process easier. We provide a material-based visual development method, block assembly generates pages, and one-click adding materials to the code, which is very friendly for newcomers. Code completion, definition preview and jump, code snippets, and code refactoring help make front-end engineering development easier. Not only JavaScript files are supported, but style files are also valid. Obtain multi-dimensional inspection reports very quickly, and support one-click quick repair of problems. -
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EdgeDB
A next-generation graph-relational database
The world's favorite graph-relational database is back for an action-packed sequel. Tune in for a series of lightning talks breaking down what's new and what's next for EdgeDB. EdgeDB is an open-source database designed as a spiritual successor to SQL and the relational paradigm. It aims to solve some hard design problems that make existing databases unnecessarily onerous to use. Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links. It's like a relational database with an object-oriented data model, or a graph database with strict schema. We call it a graph-relational database. The core unit of schema in the graph-relational model is the object type, analogous to a table in SQL. Object types contain properties and can be linked to other object types to form a schema graph. -
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Medis
Easy-to-use Mac database management application for Redis
Medis is a beautiful, easy-to-use Redis management application built on the modern web with Electron, React, and Redux. It's powered by many awesome Node.js modules, especially ioredis and ssh2. Medis only supports Redis >= 2.8 version because SCAN command was introduced since 2.8. SCAN is very useful to get key list without blocking the server, which is crucial to the production environment. Because the latest stable is 5.0 and 2.6 is a very old version, Medis doesn't support it. Works with millions keys and key members without blocking the redis server. Medis can connect to Heroku Redis addon to manage your data. You can download compiled versions of Medis for Mac OS X from the release page. Medis 0.6.0 is released with the support for in-key searching. Medis starts with all the basic features you need. -
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OceanBase seekdb
The AI-Native Search Database
seekdb is an AI-native search database from OceanBase that unifies vector, full-text, relational, JSON, and GIS data into a single query engine. The system is designed to support hybrid search workloads and in-database AI workflows without requiring multiple specialized databases. It enables developers to perform semantic search, keyword search, and structured SQL queries within the same platform, simplifying modern AI application stacks. seekdb also embeds AI capabilities directly in the database layer, including embedding generation, reranking, and LLM inference for end-to-end RAG pipelines. Built on the OceanBase engine, it maintains ACID compliance and MySQL compatibility while delivering real-time analytical performance. Overall, seekdb positions itself as a unified data foundation for next-generation AI applications that require both transactional and semantic retrieval capabilities.
