Open Source Windows Database Software - Page 24
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Database Software for Windows
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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CovenantSQL
A decentralized, trusted, high performance, SQL database
CovenantSQL(CQL) is a decentralized, GDPR-compliant, trusted, SQL database with blockchain features. ServerLess: Free, High Availabile, Auto Sync Database Service for Serverless App. GDPR-compliant: Zero pain to be GDPR-compliant.. SQL: Most SQL-92 support. Decentralize: Running on Open Internet without Central Coordination. Privacy: Access with Granted Permission and Encryption Pass. Immutable: Query History in CQL is Immutable and Trackable. Permission: Column Level ACL and SQL Pattern Whitelist. CovenantSQL provides a cql command line toolset for terminal users to access and manage user accounts, wallet balances, and databases. For security, the private key file is usually encrypted with a master key. A master key is individually chosen by the user while creating an account and is memorized or kept somewhere by the user -- note that the config file will not keep the master key. When the private key is required by the cql command, it will ask the user to input the master key. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries. -
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CrossUI
CrossUI is a free Cross-Browser Javascript framework
Build fully interactive experiences codeless and serverless. Create code into Github repository directly. CrossUI No-Code App Builder enables anyone (no software developer required) to Create Interactive Apps Without Coding. Prototype, develop and package the exactly same code into Web Apps, Native Desktop (Windows, Linux and Mac) Apps, as well as Mobile Apps. Rich client-side API, works with any backend or static HTML pages. Web services (JSON/XML/SOAP) can be directly bound. More than 100 components, including Tabs, Dialog, TreeGrid, SVG Shapes, Chart and many other web GUI components. Support reusable modules. Wide cross-browser compatibility, IE6+, firefox3+, opera9+, safari3+ and Google Chrome. Full API Documentation with tons of samples. Ever Increasing Code Snippets. PHP/C #/JAVA Back-end service codes are available. CrossUI Framework is Open Source under LGPL3 license. -
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DataKit
Connect processes into powerful data pipelines
Connect processes into powerful data pipelines with a simple git-like filesystem interface. DataKit is a tool to orchestrate applications using a Git-like dataflow. It revisits the UNIX pipeline concept, with a modern twist: streams of tree-structured data instead of raw text. DataKit allows you to define complex build pipelines over version-controlled data. DataKit is currently used as the coordination layer for HyperKit, the hypervisor component of Docker for Mac and Windows, and for the DataKitCI continuous integration system. src contains the main DataKit service. This is a Git-like database to which other services can connect. ci contains DataKitCI, a continuous integration system that uses DataKit to monitor repositories and store build results. The easiest way to use DataKit is to start both the server and the client in containers. -
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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DataScript
Immutable database and Datalog query engine for Clojure, ClojureScript
An immutable in-memory database and Datalog query engine in Clojure and ClojureScript. DataScript is meant to run inside the browser. It is cheap to create, quick to query and ephemeral. You create a database on page load, put some data in it, track changes, do queries and forget about it when the user closes the page. DataScript databases are immutable and based on persistent data structures. In fact, they’re more like data structures than databases (think Hashmap). Unlike querying a real SQL DB, when you query DataScript, it all comes down to a Hashmap lookup. Or series of lookups. Or array iteration. There’s no particular overhead to it. You put a little data in it, it’s fast. You put in a lot of data, well, at least it has indexes. That should do better than you filtering an array by hand anyway. The thing is really lightweight. The intention with DataScript is to be a basic building block in client-side applications that needs to track a lot of state during their lifetime. -
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Database Backup Manager
Database backup manager for dumping to and restoring databases from S3
This package provides a framework-agnostic database backup manager for dumping to and restoring databases from S3, Dropbox, FTP, SFTP, and Rackspace Cloud. Backup the development database to Amazon S3. The S3 backup path will be test/backup.sql.gz in the end, when gzip is done with it. Once installed, the package must be bootstrapped (initial configuration) before it can be used. We recommend using the vagrant configuration supplied with this package for development and contribution. Simply install VirtualBox, Vagrant, and Ansible then run vagrant up in the root folder. A virtual machine specifically designed for the development of the package will be built and launched for you. Backup to / restore from any configured filesystem. Configure your filesystems. Configure your databases. -
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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. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. Using the copy-on-write capabilities of ZFS, the DLE is able to generate full-size replicas of the production database in seconds. These writable "thin clones" will behave identically to production: they will have the same data and generate the same query plans. Instances of the Database Lab Engine (DLE) and all thin clones reside completely within your own infrastructure at all times. -
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Datalevin
A simple, fast and versatile Datalog database
Datalevin is an open-source Datalog-based database written in Clojure that runs natively on top of LMDB. It supports full ACID transactions, schema-less EDN data storage, vector search with SIMD acceleration, and text-based querying. Usable as an embedded library or as a client/server database with RBAC access, it acts like SQLite or Datomic on a ledger of immutable datoms, plus modern features like vector and full-text search. -
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Datatables.AspNet
Microsoft AspNet bindings and automatic parsing for jQuery DataTables
Formerly known as DataTables.Mvc, this project started with small objectives around 2014, aiming to provide intermediate and experienced developers a tool to avoid the boring process of handling DataTables parameters. More than a year later after a full rewrite, we are now proud to support Asp.net MVC, WebApi, and Asp.Net Core (full .NET Core support). Unit-testing is a priority to avoid breaking your app and every stable release should provide better and wider test cases. Datatables.AspNet is a server-side integration library for using DataTables with ASP.NET, enabling efficient handling of large data sets in web applications. -
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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Dgraph
The Only Native GraphQL Database With A Graph Backend
Dgraph is a horizontally scalable and distributed GraphQL database, the only native GraphQL database to have a graph backend. Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables; or if you just want a simple and flexible schema, and prioritize speed and performance at scale, Dgraph is the best choice for you. It’s fully equipped with everything you need and more. -
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Doctrine JSON Functions
Doctrine DQL functions for SQL JSON data type
DoctrineJsonFunctions is a library that adds native support for JSON-related SQL functions to Doctrine ORM. It extends Doctrine’s DQL capabilities to handle PostgreSQL, MySQL, and SQLite JSON functions, enabling developers to write expressive queries involving JSON fields directly in DQL. This is especially useful for applications that store semi-structured data in relational databases. -
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Ecto
A toolkit for data mapping and language integrated query
Ecto is the official Elixir library that serves as a database wrapper and integrated query system, enabling developers to define schemas, construct and execute type-safe queries, manage database migrations, and validate data via changesets; it is the foundational tool for working with relational databases in Elixir. Note that mix test does not run the tests in the integration_test folder. To run integration tests, you can clone ecto_sql in a sibling directory and then run its integration tests with the ECTO_PATH environment variable pointing to your Ecto checkout. Support for database migrations (version-controlled schema changes). -
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Elassandra
Elassandra = Elasticsearch + Apache Cassandra
Elassandra is an open-source integration of Apache Cassandra and Elasticsearch, combining the distributed NoSQL storage of Cassandra with Elasticsearch’s search and analytics capabilities. This hybrid database solution allows users to store, index, and query data efficiently while ensuring fault tolerance and scalability. -
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EliasDB
EliasDB a graph-based database
EliasDB is a graph-based database that aims to provide a lightweight solution for projects which want to store their data as a graph. Build on top of a custom key-value store that supports transactions and memory-only storage. Data is stored in nodes (key-value objects) which are connected via edges. Stored graphs can be separated via partitions. Stored graphs support cascading deletions - delete one node and all its "children". All stored data is indexed and can be quickly searched via a full text phrase search. EliasDB has a GraphQL interface which can be used to store and retrieve data. For more complex queries EliasDB has an own query language called EQL with an sql-like syntax. Includes a scripting interpreter to define alternative actions for database operations or writing backend logic. Written in Go from scratch. Only uses gorilla/websocket to support websockets for GraphQL subscriptions. The database can be embedded or used as a standalone application. -
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often unknown. This database tries to solve that. It features 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. It, therefore, allows you to obtain a broad overview of sectors, industries, types of investments and much more. The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using yfinance, FundamentalAnalysis or ThePassiveInvestor. -
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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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Full Stack FastAPI and PostgreSQL
Full stack, modern web application generator
Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic interactive documentation. Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time. -
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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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GeoIP2 Reader for Go
Unofficial MaxMind GeoIP2 Reader for Go
This library reads MaxMind GeoLite2 and GeoIP2 databases. This library is built using the Go maxminddb reader. All data for the database record is decoded using this library. If you only need several fields, you may get superior performance by using maxminddb's Lookup directly with a result struct that only contains the required fields. (See example_test.go in the maxminddb repository for an example of this.) Metadata takes no arguments and returns a struct containing metadata about the MaxMind database in use by the Reader. Enterprise takes an IP address as a net.IP struct and returns an Enterprise struct and/or an error. This is intended to be used with the GeoIP2 Enterprise database. -
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GlueSQL
GlueSQL is quite sticky. It attaches to anywhere
An embedded SQL database engine written in Rust, designed for lightweight, in-memory, and persistent storage use cases. -
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GoRose ORM
Mini database ORM for golang
GoRose (go orm), a mini database ORM for golang, which was inspired by the famous PHP framework laravel's eloquent. It will be friendly for PHP developers and python or ruby developers. Currently provides six major database drivers: MySQL, sqlite3, Postgres, Oracle, MySQL. GoRose 2.0 adopts a modular architecture, communicates through the API of the interface, and strictly depends on the lower layer. Each module can be disassembled or even customized to your liking. GoRose provides data object binding (map, struct), and supports string table name and map data return. Provides great flexibility. It is recommended to use data binding to complete the query operation so that the data source type can be controlled. -
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GrandNode Database
Open-Source eCommerce Platform on .NET Core, MongoDB, AWS DocumentDB
GrandNode 2 is an open-source, headless, and multi-platform e-commerce solution built on .NET and MongoDB. It is designed for high scalability and flexibility, making it suitable for businesses requiring a customizable online store with modern technologies. -
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Greenmask
PostgreSQL database anonymization and synthetic data generation tool
Greenmask is a powerful open-source utility that is designed for logical database backup dumping, obfuscation, and restoration. It offers extensive functionality for backup, anonymization, and data masking. Greenmask is written in pure Go and includes ported PostgreSQL libraries that allows for platform independence. This tool is stateless and does not require any changes to your database schema. It is designed to be highly customizable and backward-compatible with existing PostgreSQL utilities. The Greenmask utility plays a central role in the Greenmask ecosystem. Our goal is to develop a comprehensive, UI-based solution for managing obfuscation procedures. We recognize the challenges of maintaining obfuscation consistency throughout the software lifecycle. Greenmask is dedicated to providing valuable tools and features that ensure the obfuscation process remains fresh, predictable, and transparent. -
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GreptimeDB
An open-source, cloud-native, unified time series database for metrics
GreptimeDB treats all time series as contextual events with timestamps, and thus unifies the processing of metrics, logs, and events. It supports analyzing metrics, logs, and events with SQL, PromQL, and streaming with continuous aggregation. GreptimeDB is a time-series database optimized for storing and querying large amounts of time-series data, commonly used in monitoring and IoT applications. -
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HOTOSM Tasking Manager
The tool to team up for mapping in OpenStreetMap
Tasking Manager is a web platform developed by Humanitarian OpenStreetMap Team (HOT) to coordinate collaborative mapping projects. It divides mapping tasks into smaller sections that contributors can work on independently, streamlining efforts in disaster response, development planning, and humanitarian aid.
