Open Source Windows Database Software - Page 16
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Database Software for Windows
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AdminJS
AdminJS is an admin panel for apps written in node.js
Our system leverages AI to effortlessly generate text. Simplify your product database management with just one click. The out-of-the-box version of AdminJS is pretty powerful, but its in-depth customizability is where it really shines. With a basic knowledge of React and Node.js, you can change nearly every behavior of your admin panel. With AdminJS you can Create, Read, Update, and Delete all of your resources, no matter where they come from. Thanks to the tight integration with your ORM/ODM, AdminJS picks up all the validation rules, data types, and relationships. AdminJS has a simple interface for connecting multiple data sources like SQL/noSQL databases and multiple APIs. We already created adapters for the most popular services. With AdminJS, you can easily find any record inside your dataset. Everything thanks to the advanced filters panel which is able to narrow your search according to multiple criteria. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables. -
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Apache Iceberg
Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. The Iceberg format specification is being actively updated and is open for comment. Until the specification is complete and released, it carries no compatibility guarantees. The spec is currently evolving as the Java reference implementation changes. -
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ArangoDB JavaScript Driver
The official ArangoDB JavaScript driver
ArangoJS is the official JavaScript client for ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph data models. This client provides a powerful yet simple API to interact with ArangoDB from Node.js or browser-based applications. -
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Blaze
File sharing progressive web app built using WebTorrent and WebSocket
Blaze is a file-sharing progressive web app(PWA) that allows users to transfer files between multiple devices. It works similarly to SHAREit or the Files app by Google but uses web technologies to eliminate the process of installing native apps for different devices and operating systems. It also supports instant file sharing with multiple devices at once which many file-sharing apps lack. Blaze primarily uses WebTorrent and WebSockets protocol (as a fallback) to transfer files between multiple devices. Files shared via WebTorrent are peer-to-peer(as they use WebRTC internally) which means there is a direct transfer between the sender and receiver without any intermediate server. Do note that tracker servers in WebTorrent are used which carry metadata and facilitate the file transfer but do not get the complete file in any form. -
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Bolt
An embedded key/value database for Go
Bolt is a pure Go key/value store inspired by Howard Chu's LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL. Since Bolt is meant to be used as such a low-level piece of functionality, simplicity is key. The API will be small and only focus on getting values and setting values. That's it. Bolt is stable, the API is fixed, and the file format is fixed. Full unit test coverage and randomized black box testing are used to ensure database consistency and thread safety. Bolt is currently used in high-load production environments serving databases as large as 1TB. Many companies such as Shopify and Heroku use Bolt-backed services every day. Please note that Bolt obtains a file lock on the data file so multiple processes cannot open the same database at the same time. -
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Bower
A package manager for the web
Bower offers generic, unopinionated front-end package management. It manages all the packages you need for a website, making sure they are all up-to-date and in the specific versions that you need. Bower can manage components that contain HTML, CSS, JavaScript, fonts or even image files. There’s no concatenating, minifying code or anything else - it just installs the right versions of the packages you need and their dependencies. How you use your packages will then be entirely up to you. Bower runs over Git and is package-agnostic, which means that a packaged component can be made up of any type of asset, and use any type of transport. -
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Cloud SQL Auth Proxy
A utility for connecting securely to your Cloud SQL instances
Cloud SQL Proxy is a secure connectivity utility that enables applications to connect to Google Cloud SQL instances without requiring manual configuration of SSL certificates or network access rules. It works by establishing an encrypted connection between the client and the Cloud SQL instance using TLS and authenticating requests through Google Cloud IAM, ensuring that only authorized users or services can access the database. The proxy runs locally or alongside applications, exposing a local TCP port or Unix socket that applications can use as if they were connecting to a standard database. This abstraction simplifies development and deployment by allowing developers to use familiar database clients while the proxy handles authentication and encryption behind the scenes. It supports both public and private IP connections and can be deployed in environments such as local machines, virtual machines, Kubernetes clusters, or as a sidecar container. -
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CloudNativePG
CloudNativePG is a Kubernetes operator that covers the full lifecycle
CloudNativePG is an open-source operator designed to manage PostgreSQL workloads on any supported Kubernetes cluster running in private, public, hybrid, or multi-cloud environments. The goal of CloudNativePG is to increase the adoption of PostgreSQL, one of the most loved DBMS in traditional VM and bare metal environments, inside Kubernetes, thus making the database an integral part of the development process and GitOps CI/CD automated pipelines. CloudNativePG has been designed by Postgres experts with Kubernetes administrators in mind. Put simply, it leverages Kubernetes by extending its controller and by defining, in a programmatic way, all the actions that a good DBA would normally do when managing a highly available PostgreSQL database cluster. Built on proven DevOps concepts like immutable infrastructure, declarative configuration, and microservice architecture, CloudNativePG exclusively relies on the Kubernetes API server to maintain the state of a PostgreSQL cluster. -
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Cockpit Content Platform
Cockpit Core - Content Platform
Cockpit is a flexible, API-first content management system (CMS) designed for developers who need a headless CMS to manage structured content for websites and applications. -
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DenoDB
MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
Supports PostgreSQL, MySQL, MariaDB, SQLite and MongoDB. Setting up your database with DenoDB is a four-step process. Create models, extending Model. table and fields are both required static attributes. Link your models, to add them to your database instance. Optional, create tables in your database, by using sync. Query your models! Using Mongo means adapting your models to its standards, one being the use of _id for identifying records. The only change on your side is to add an _id field to your models. Models represent tables in your database. Each model should link to one of your database's tables. Every field should also match the name from your database. Creating models is very easy. Import Model from the library and create a class based on what you plan to modelize. The name we call our model might differ from the table name in our database. -
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Doctrine Migrations Bundle
Symfony integration for the doctrine/migrations library
The Doctrine Migrations Bundle is an extension for Symfony that integrates the Doctrine Migrations library, allowing developers to version and manage database schema changes in a structured and consistent way. It simplifies the process of creating, executing, and tracking database migrations, making it essential for projects that undergo frequent schema updates or improvements. The bundle is highly configurable and supports custom migration commands. -
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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 DoltHub, a place to share Dolt databases. We host public data for free. If you want to host your own version of DoltHub, we have DoltLab. If you want us to run a Dolt server for you, we have Hosted Dolt. MySQL comes with a MySQL server called mysqld and a MySQL client called mysql. You're only interested in the client. After following the instructions from MySQL's documentation, make sure you have a copy of the mysql client on your path. -
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DoltgreSQL
DoltgreSQL - Version Controlled PostgreSQL
DoltgreSQL is an experimental Postgres fork that adds Git-like version control to your database. It allows users to commit, branch, merge, and revert changes to data and schema, bringing collaborative workflows to SQL databases. DoltgreSQL is designed for teams who want full auditability and control over every change made in their data layer. -
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Druid
Database connection pool written in Java
Druid is an open-source database connection pool written in Java. Druid is able to provide an extensive number of powerful monitoring functionalities for database connection. Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle database. -
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Duktape
Embeddable Javascript engine with a focus on portability
Duktape is easy to integrate into a C/C++ project: add duktape.c, duktape.h, and duk_config.h to your build, and use the Duktape API to call ECMAScript functions from C code and vice versa. Partial support for ECMAScript 2015 (E6) and ECMAScript 2016 (E7), Post-ES5 feature status, kangax/compat-table. Combined reference counting and mark-and-sweep garbage collection with finalization. Property virtualization using a subset of ECMAScript ES2015 Proxy object. Bytecode dump/load for caching compiled functions. Distributable includes an optional logging framework, CommonJS-based module loading implementations, CBOR bindings, etc. See duktape.org for packaged end-user downloads and documentation. The end user downloads are also available from the duktape-releases repo as both binaries and in unpacked form as git tags. -
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DynamoDB Toolbox
Lightweight and type-safe query builder for DynamoDB and TypeScript
A high-level abstraction library for Amazon DynamoDB, simplifying data modeling and query operations in JavaScript applications. -
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EF Core
Object-database mapper for .NET
EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. Entity Framework Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations. EF Core works with many databases, including SQL Database (on-premises and Azure), SQLite, MySQL, PostgreSQL, and Azure Cosmos DB. To install EF Core, you install the package for the EF Core database provider(s) you want to target. This tutorial uses SQLite because it runs on all platforms that .NET Core supports. This application intentionally keeps things simple for clarity. Connection strings should not be stored in the code for production applications. You may also want to split each C# class into its own file. Query and manage relational data in a .NET Core app with an Object-Relational Mapper (O/RM). -
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ERAlchemy
Entity Relation Diagrams generation tool
ERAlchemy is a tool that generates Entity-Relationship (ER) diagrams from databases or SQLAlchemy models and vice versa. It’s useful for database documentation, reverse engineering, and understanding complex schemas. ERAlchemy can export diagrams in formats like Graphviz and Mermaid, making it easy to include in reports or markdown files. -
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Ebean
Ebean ORM
Ebean provides multiple levels of query abstraction ORM Queries, mixed with SQL, DTO Queries, SqlQuery and JDBC. Work at the highest level of abstraction and drop down levels as needed. Built in DB migration generation and running. Support for "rebase" migrations as well as repeatable, init and 'normal' migrations. Ebean produces SQL that you would hand craft yourself. Use great SQL, never generate SQL cartesian product, always honor relational limit/offset. For ORM queries Ebean can profile the object graph being used and either automatically tune the query. Docker test containers for all the supported databases. Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
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EventStoreDB
The stream database optimised for event sourcing
Persist your application data as streams of events with our open-source database, the best data storage solution for event-sourced systems. Available for free download on most platforms or use our managed service Event Store Cloud. EventStoreDB is an open-source database technology that stores your critical data in streams of immutable events. It was built from the ground up for Event Sourcing, we believe that makes it the best solution in the market for building event-sourced systems. Event Sourcing offers some great benefits over state-oriented systems; the key ones are explained below. An event-sourced system stores your data as a series of immutable events over time, providing one of the strongest audit log options available. All state changes are kept, so it is possible to move systems backward and forwards in time which is extremely valuable for debugging and “what if” analysis. -
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Evolve
Database migration tool for .NET and .NET Core projects
Evolve is a lightweight database migration tool for .NET applications, compatible with PostgreSQL, MySQL, SQLite, and SQL Server. Designed with simplicity and speed in mind, it runs SQL scripts in order and tracks their history to keep database schema consistent. Evolve integrates easily with .NET projects for version-controlled schema updates. -
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Fapro
Fake Protocol Server
Fapro is an open-source asset discovery and vulnerability scanning tool developed by Fofa Pro. It assists in identifying and managing network assets, detecting potential vulnerabilities, and enhancing overall security posture -
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FiloDB
Distributed Prometheus time series database
FiloDB is an open-source distributed, real-time, in-memory, massively scalable, multi-schema time series / event / operational database with Prometheus query support and some Spark support as well. The normal configuration for real-time ingestion is deployment as stand-alone processes in a cluster, ingesting directly from Apache Kafka. The processes form a cluster using peer-to-peer Akka Cluster technology. Designed to ingest many millions of entities, sharded across multiple processes, with distributed querying built in. Support for indexing and fast querying over flexible tags for each time series/partition, just like Prometheus. Holds a huge amount of data in-memory thanks to columnar compression techniques. Designed for highly concurrent, low-latency workloads such as dashboards and alerting. Data immediately available for querying once ingested. -
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FlockDB
A distributed, fault-tolerant graph database
FlockDB is a specialized graph / adjacency-list storage system designed for high performance in large-scale, low-latency, real-time environments. It was developed at Twitter to store social graph data (followers, following, blocks, etc.) and secondary indexes. FlockDB emphasizes horizontal scalability, replication, and support for high rates of writes and updates, as well as efficient paging through very large result sets. It is not a general graph database in the sense of supporting complex multi-hop traversal queries or sophisticated graph algorithms; instead it focuses on the core problem of storing and querying directed edges with attributes such as sort order, state (normal, archived, removed), and position. Edges are stored both in forward and backward directions to facilitate queries in both directions. The project is now archived and in read-only mode, meaning it's no longer actively maintained by Twitter.
