Open Source Mac Database Software - Page 16
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Database Software for Mac
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Laravel Tenanti
Multi-tenant Database Schema Manager for Laravel
Multi-tenant Database Schema Manager for Laravel. Tenanti allows you to manage multi-tenant data schema and migration manager for your Laravel application. -
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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 examples. Advanced usage requires that your babel presets are set up correctly. create-react-app and environments that do not transpile code within node_modules are not compatible with the component import below. All the examples on the documentation site use this syntax. You can use the Babel preset, @salesforce/babel-preset-design-system-react, to get started. This preset will keep Babel compatible with Design System React and allow ES6 module benefits such as tree-shaking. -
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Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
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Mongoeye
Schema and data analyzer for MongoDB written in Go
MongoEye is a monitoring and analytics tool for MongoDB databases. It provides real-time performance insights, query optimization suggestions, and alerting capabilities to help database administrators improve efficiency and troubleshoot issues proactively. -
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MySQL Export Laravel Migrations
A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations
A MySQL Workbench plugin that allows for exporting a model to Laravel 5 migrations that follow PSR-2 coding standards. When exported, each migration is generated and saved in it's own, properly named, migration file. -
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MySQLTuner
Script written in Perl to assist with MySQL configurations
MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability. The current configuration variables and status data is retrieved and presented in a brief format along with some basic performance suggestions. MySQLTuner supports ~300 indicators for MySQL/MariaDB/Percona Server in this last version. MySQLTuner is maintained and indicator collect is increasing week after week supporting a lot of configuration such as Galera Cluster, TokuDB, Performance schema, Linux OS metrics, InnoDB, MyISAM, Aria, etc. It is extremely important for you to fully understand each change you make to a MySQL database server. If you don't understand portions of the script's output, or if you don't understand the recommendations, you should consult a knowledgeable DBA or system administrator that you trust. Always test your changes on staging environments. -
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Npgsql Entity Framework Core PostgreSQL
Entity Framework Core provider for PostgreSQL
Npgsql.EntityFrameworkCore.PostgreSQL is the open source EF Core provider for PostgreSQL. It allows you to interact with PostgreSQL via the most widely-used .NET O/RM from Microsoft, and use familiar LINQ syntax to express queries. It's built on top of Npgsql. The provider looks and feels just like any other Entity Framework Core provider. Aside from providing general EF Core support for PostgreSQL, the provider also exposes some PostgreSQL-specific capabilities, allowing you to query JSON, array or range columns, as well as many other advanced features. For more information, see the the Npgsql site. -
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs. Read-write transactions can read, update and delete keys from the DB. NutsDB allows only one read-write transaction at a time but allows as many read-only transactions as you want at a time. Each transaction has a consistent view of the data as it existed when the transaction started. When a transaction fails, it will roll back, and revert all changes that occurred to the database during that transaction. -
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ObjectBox Go Database
Embedded Go Database, the fast alternative to SQLite, gorm, etc.
ObjectBox Go is a lightweight and high-performance embedded NoSQL database designed for Go applications, providing efficient data storage and retrieval with minimal overhead. -
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Pop Database
A Tasty Treat For All Your Database Needs
Pop is a data access toolkit for Go that simplifies database interactions. It combines the power of an ORM with the flexibility of SQL, providing developers with tools to manage database schemas, run migrations, and perform CRUD operations. -
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PostgreSQL Book
Book about PostgreSQL (russian)
PostgreSQL Book is an open-source Russian-language guide that covers PostgreSQL best practices, performance tuning, configuration, and ecosystem tools. It offers in-depth documentation for developers and DBAs who want to deepen their understanding of PostgreSQL’s internals and practical usage. The project also includes curated links and community resources. -
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PowerUpSQL
A PowerShell toolkit for attacking SQL Server
PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to inventory SQL Server attack surface and hunt for misconfigurations. PowerUpSQL can surface things like weak configuration flags, dangerous surface (for example, features that may enable code execution from SQL), credential material exposed in configuration, and cross-instance trust relationships such as linked servers. The codebase is implemented primarily in PowerShell, organized as a module with many discrete functions, and includes helper scripts and documentation for usage scenarios. -
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Prequel
Prequel for Laravel. Clear and concise database management
Prequel is meant to be a database management tool for Laravel to replace the need for separate standalone database tools like phpMyAdmin, Sequel Pro or MySQL Workbench. With its (hopefully) clear and concise UI, Prequel is to be a modern and lightweight database browser/tool ready for the web of the future. Prequel's design is purposefully based on that of Laravel Telescope because (web-)developers today have enough to learn and master already, so let's help each other out and make sure to not add anything virtually useless to that huge pile of knowledge. You can help by contributing to the code or donating using the button below! Both are highly appreciated and contribute directly to keeping open-source free and sustainable! -
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RESTHeart
Rapid API Development with MongoDB
RESTHeart is an open-source middleware that exposes MongoDB databases as a RESTful API, allowing developers to interact with MongoDB using HTTP-based queries instead of traditional drivers. -
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ReadySet
Readyset is a MySQL and Postgres wire-compatible caching layer
ReadySet is a SQL caching engine designed to improve query response times and scalability for PostgreSQL and MySQL databases. It acts as a transparent caching layer, automatically maintaining cached query results and serving them with sub-millisecond latency, without requiring changes to application code. -
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Realm Swift
Realm is a mobile database: a replacement for Core Data & SQLite
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. Accelerate time-to-market with easy to learn, language-native APIs that simplify data access. Device Sync, backed by MongoDB Atlas, handles the most complex part of connecting your client to the backend with ease – guaranteeing an app that works as expected and syncs data reliably, every time. -
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RedisGraph
A graph database as a Redis module
A high-performance graph database module for Redis that enables fast graph processing and analytics using a query engine based on Cypher. -
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SQLDelight
SQLDelight - Generates typesafe Kotlin APIs from SQL
SQLDelight is a multiplatform Kotlin SQL library developed by Square. It generates typesafe Kotlin APIs from your SQL statements and integrates seamlessly with Android, iOS, JVM, and web platforms. SQLDelight ensures compile-time verification of SQL queries and supports migrations, transactions, and coroutines, making it a robust solution for cross-platform persistence. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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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 distributed system, rather than a totally new database. As the cornerstone of enterprises, relational database still takes a huge market share. Therefore, we prefer to focus on its increment instead of a total overturn. Apache ShardingSphere begin to focus on pluggable architecture from version 5.x, features can be embedded into project flexibility. -
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SnappyData
Memory optimized analytics database, based on Apache Spark
SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. For instance, there is no need to often pre-aggregate/reduce or generate cubes over your large data sets for ad-hoc visual analytics. This is made possible by smartly managing data in memory, dynamically generating code using vectorization optimizations, and maximizing the potential of modern multi-core CPUs. SnappyData enables complex processing on large data sets in sub-second timeframes. -
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SpringBlade
Microservice architecture that provides SpringCloud solutions
BladeX is a well-designed microservice architecture that provides a full set of SpringCloud solutions. Open source China's first batch of microservice architectures that perfectly integrate SpringCloud Alibaba series components are upgraded and optimized based on stable production commercial projects, and are closer to enterprise-level needs. Pursuing enterprise development More efficient, easier to deploy, and more stable. The multi-tenant architecture that meets the Chinese-style needs supports flexible combinations of multiple modes such as multi-tenant-one database, one-tenant-one database, and multi-tenant multi-database. The system provides three configurations of menu button authority, data authority, and interface authority. The combination configuration method based on annotation + Web is flexible and takes effect immediately. Deeply customize the Flowable workflow to meet SpringCloud distributed scenarios, escort complex processes, etc. -
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Squawk
Linter for Postgres migrations & SQL
Squawk is a static SQL linter for PostgreSQL designed to catch common mistakes and enforce query best practices. It analyzes raw SQL files and flags errors, anti-patterns, or style issues before queries are deployed. Squawk is ideal for teams that want to enforce SQL standards in CI pipelines. -
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SummitDB
In-memory NoSQL database with ACID transactions, Raft consensus, etc.
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and is built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting. The easiest way to get SummitDB is to use one of the pre-built release binaries which are available for OSX, Linux, and Windows. SummitDB can be compiled and used on Linux, OSX, Windows, FreeBSD, ARM (Raspberry PI) and probably others since the codebase is 100% Go. We support both 32-bit and 64-bit systems. Go must be installed on the build machine. It may be worth noting that while SummitDB supports many Redis features, it is not a strict Redis clone. SummitDB provides one key space that is a large B-tree. An ordered key space allows for stable paging through keys using the KEYS command. Redis uses an unordered dictionary structure and provides a specialized SCAN command for iterating through keys. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing.
