Open Source Mac Database Software - Page 5
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Database Software for Mac
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OpenRefine
A free, open source, powerful tool for working with messy data
OpenRefine is a powerful Java-based tool designed to work with messy data and improve it. With OpenRefine you can load data, understand it, clean it up, transform it, reconcile it, and augment it with web services and external data. It allows you to do this all from a web browser and in the convenience and privacy of your own computer. OpenRefine keeps all data securely in your computer by running a small server on it, using your web browser to interact with it. When you're ready, then that is the only time the data will be shared outside of your computer. OpenRefine is available in over 15 languages, is cross-platform and part of the Code for Science & Society. -
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PHP-CRUD-API
Single file PHP script that adds a REST API to a SQL database
Single file PHP script that adds a REST API to a MySQL/MariaDB, PostgreSQL, SQL Server or SQLite database. Howto: Upload "api.php" to your webserver, configure it to connect to your database, have an instant full-featured REST API. This is the TreeQL reference implementation in PHP. This is a single file application! Upload "api.php" somewhere and enjoy! For local development you may run PHP's built-in web server. All configuration options are also available as environment variables. Write the config option with capitals, a "PHP_CRUD_API_" prefix and underscores for word breaks. The environment variables take precedence over the PHP configuration. -
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PocketBase
Open Source realtime backend in 1 file
PocketBase is an open-source backend written in Go, packaged as a single binary. It features an embedded SQLite database, real-time subscriptions, built-in authentication and file management, a web-based admin dashboard, and a simple REST-style API—ideal for building self‑contained apps on a single server. -
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SQLECTRON
A simple and lightweight SQL client desktop with cross database
A simple and lightweight SQL client desktop/terminal with cross database and platform support. In case you prefer terminal interfaces. You should try this one. A desktop application with a simple interface. -
Connect every part of your business to one bank accountNorth One is proudly built for small businesses, startups and freelancers across America. Make payments easily, keep tabs on your money and put your finances on autopilot through smart integrations with the tools you’re already using. North One was built to make managing money easy so you can focus on running your business. No more branches. No more lines. No more paperwork. Get complete access to your North One Account from your phone or computer, wherever your business takes you. Create Envelopes for taxes, payroll, rent, and anything else automatically.
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pg_analytics
DuckDB-powered analytics for Postgres
pg_analytics (formerly named pg_lakehouse) puts DuckDB inside Postgres. With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
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SQL DAL Maker
A generator of DTO, Model, and DAO classes to access relational DB
SQL DAL Maker is a generator of DTO, Model, and DAO classes to access relational databases. Target programming languages: PHP, Java, C++, Python, and Go. To generate the class, you declare it in XML meta-program. At the stage of code generation, the target database must exist and be available for JDBC connection. Generated code is being synchronized with the current database schema using "live" JDBC metadata. Written in Java. Implemented as plug-ins For Eclipse: https://marketplace.eclipse.org/content/sql-dal-maker For IntelliJ: https://plugins.jetbrains.com/plugin/7092 HOWTO install-update: http://sqldalmaker.sourceforge.net GitHub: https://github.com/panedrone/sqldalmaker Quick-Demo in mp4: https://github.com/panedrone/sqldalmaker/releases/tag/latest -
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SQLeo Visual Query Builder
Helping users to quickly understand SQL queries
SQLeo is a professional lightweight SQL Query tool that permits to create or display complex sql queries (from OBIEE, Microstrategy, SSRS, Cognos, Hyperion, Pentaho ...) and permits to reverse engineer database models as db designers do. This SQL GUI supports all JDBC drivers: Oracle, MySQL, MSSQL, Firebird, HSQLDB, H2, PostgreSQL, CsvJdbc, SQLite, UCanAccess, MonetDB ... (but MySQL jdbc and CsvJdbc are the only driver included in the package) Can be compared with : FreeQueryBuilder (SQLeonardo ancestor), SQuirreL SQL, Active Query Builder, Flyspeed, Oracle SQL developer, Toad, DbVisualizer, MySQL Workbench, DBeaver, Aqua Data Studio ... -
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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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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data stored in Excel (both .xls and .xlsx), CSV, JSON, TAB, IndexedDB, LocalStorage, and SQLite files. The library adds the comfort of a full database engine to your JavaScript app. No, really - it's working towards a full database engine complying with most of the SQL-99 language, spiced up with additional syntax for NoSQL (schema-less) data and graph networks. -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture and built-in compression ensure that networks and storage are utilized efficiently. Support for DataFrames with thousands of columns enables large trading universes. -
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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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Lada Cache
A Redis based, fully automated and scalable database cache layer
A Redis-based, fully automated, and scalable database cache layer for Laravel. -
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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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PolarDB for PostgreSQL
A cloud-native database based on PostgreSQL developed by Alibaba Cloud
PolarDB for PostgreSQL is Alibaba Cloud's cloud-native, distributed version of PostgreSQL designed for high availability, scalability, and performance. It enhances standard PostgreSQL with features like shared storage, compute-storage separation, and parallel processing. PolarDB supports cloud-native workloads, offering enterprise-grade capabilities while maintaining PostgreSQL compatibility. -
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Realm
Mobile database: a replacement for Core Data & SQLite
Realm’s mobile database is an open source, developer-friendly alternative to CoreData and SQLite. Start in minutes, port your app in hours, and save yourself weeks of work. Available for Swift, Objective-C, Java, Kotlin, C#, and JavaScript. Realm’s object-oriented data model is simple to learn, doesn’t need an ORM, and lets you write less code. Realm’s local database persists data on-disk, so apps work as well offline as they do online. Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life. Realm was built for mobile developers, with simplicity in mind. The idiomatic, object-oriented data model can save you thousands of lines of code. Realm’s live objects mean data updated anywhere is automatically updated everywhere. If you need to freeze elements of your data for Reactive frameworks, you can do that, too. -
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TOra is a Toolkit for Oracle which aims to help the DBA or developer of database applications. Features PL/SQL debugger, SQL worksheet with syntax highlighting, DB browser and a full set of DBA tools. TOra also includes support for MySQL and Postgres.
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A read-only JDBC driver for Java that uses Comma Separated Value (CSV) files as database tables. Ideal for writing data import programs and conversion programs.
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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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Implementation of the popular ODBC standard for non-Windows platforms such as Linux and Mac OS X. Includes; DriverManager and several command-line tools
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Antares
A modern, fast and productivity driven SQL client with a focus in UX
Antares is a modern, cross-platform SQL client built with Electron and Vue.js. It offers a clean and intuitive UI for managing databases like MySQL, PostgreSQL, SQLite, and more. Designed for developers and DBAs, Antares supports tabbed browsing, query editing with syntax highlighting, and visual schema exploration, making it a powerful alternative to heavier database tools. -
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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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Firebird
Firebird server, client and tools
Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981. To enhance the Firebird functionality, IBSurgeon has sponsored the development and now released for public use the free open source "IBSurgeon Full Text Search UDR" to perform full-text search queries within SQL and PSQL. UDR works with Firebird 3 and 4, for Windows, there are ready-to-use binaries, for Linux, it is necessary to build the UDR. The UDR is based on Lucene++ engine, with all the powerful features required for full-text search and with very fast performance (build as native C++ library). The Firebird Project is a commercially independent project of C/C++ programmers. -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed. -
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Redix
A very simple pure key => value storage system that speaks Redis
redix is a very simple key => value storage engine that speaks redis and even more simpler and flexible. redis is very simple, sometimes we abuse it, so I decided to build a pure key-value storage system that introduces the core utilities for building any data structure you want based on the key => value model that is because I think that everything could be modeled easily using that model, so I decided to not to follow redis and all of its commands, you won’t find lpush, hset, sadd, … etc you will find a new way to do the same job but more easier and flexable, i.e, the well-known hset key field value command could be replaced with set key/field value, but sometimes you need to return a specific hashmap as key => value, but you run hget key field to get the key’s value and also it could be replaced with get key/field, but how could we replace hgetall key? I will say “it is easy”, let’s make the hget command work as a prefix scanner that scan the whole database. -
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SchemaCrawler
Free database schema discovery and comprehension tool
SchemaCrawler is a free database schema discovery and comprehension tool. SchemaCrawler has a good mix of useful features for data governance. You can search for database schema objects using regular expressions, and output the schema and data in a readable text format. The output serves for database documentation, and is designed to be diff-ed against other database schemas. SchemaCrawler also generates schema diagrams. You can execute scripts in any standard scripting language against your database. You can find potential schema design issues with lint. SchemaCrawler supports almost any database that has a JDBC driver, but for convenience is bundled with drivers for some commonly used RDBMS systems. SchemaCrawler works with any operating system that supports Java SE 8 or better. SchemaCrawler is also a Java API that makes working with database metadata as easy as working with plain old Java objects.