Open Source Mac Database Software - Page 13
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Database Software for Mac
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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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RxDB
Client side, offline-first, reactive database for JavaScript apps
RxDB (short for Reactive Database) is a NoSQL-database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps, Progressive Web Apps and Node.js. Reactive means that you can not only query the current state but subscribe to all state changes like the result of a query or even a single field of a document. This is great for UI-based real-time applications in a way that makes it easy to develop and also has great performance benefits. To replicate data between your clients and server, RxDB provides modules for real-time replication with any CouchDB compliant endpoint and also with custom GraphQL endpoints. Multiplatform support for browsers, nodejs, electron, Cordova, react-native and every other javascript runtime. Replication between client and server-data, compatible with pouchdbPouchDB, couchdbCouchDB, and cloudantIBM Cloudant. There is also a plugin for a GraphQL replication. -
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SQLpage
Fast SQL-only data application builder
SQLPage is a rapid application development tool that enables developers to build data-driven web applications using only SQL queries. By writing simple .sql files, users can create interactive web pages that display data as text, lists, grids, plots, and forms, streamlining the process of developing data applications without extensive frontend coding. -
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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. -
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ShareDB
Realtime database backend based on Operational Transformation (OT)
ShareDB is a realtime database backend based on Operational Transformation (OT) of JSON documents. It is the realtime backend for the DerbyJS web application framework. Realtime synchronization of any JSON document. Synchronous editing API with asynchronous eventual consistency. Projections to select desired fields from documents and operations. Middleware for implementing access control and custom extensions. Ideal for use in browsers or on the server. In-memory implementations of database and pub/sub for unit testing. Access to historic document versions. Realtime user presence syncing. -
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Skunk
A data access library for Scala + Postgres
Skunk is a Postgres library for Scala. Skunk is powered by cats, cats-effect, scodec, and fs2. Skunk is purely functional, non-blocking, and provides a tagless-final API. Skunk gives very good error messages. Skunk embraces the Scala Code of Conduct. Skunk is pre-release software! Code and documentation are under active development! Skunk is published for Scala 2.12/2.13/3.1 and can be included in your project.Query and Command types are usually inferrable, but specifying a type ensures that the chosen encoders and decoders are consistent with the expected input and output Scala types. Postgres provides a protocol for execution of simple queries, returning all rows at once (Skunk returns them as a list). -
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Speedment
Speedment is a Stream ORM Java Toolkit and Runtime
Speedment is an open-source Java Stream ORM toolkit and runtime. The toolkit analyzes the metadata of an existing SQL database and automatically creates a Java representation of the data model. This powerful ORM enables you to create scalable and efficient Java applications using standard Java streams with no need to type SQL or use any new API. Speedment was originally developed by researchers and engineers based in Palo Alto with the purpose to simplify and streamline the development of Java database applications by leveraging the Java Stream API. Speedment is licensed under the business-friendly Apache 2 license. Contribution from users is encouraged. Please feel free to request new features, suggest improvements and file bug reports. Assuming you have Maven installed and a relational database available, you can start using Speedment in a minute. Automatic Java representation of the latest state of your database eliminates boilerplate code and the need of manually writing Java. -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. Spring Data Neo4j is a core part of the Spring Data project which aims to provide convenient data access for NoSQL databases. Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides. -
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Sql driver mock for Golang
Sql mock driver for golang to test database interactions
sqlmock is a mock library implementing sql/driver. Which has one and only purpose - to simulate any sql driver behavior in tests, without needing a real database connection. It helps to maintain correct TDD workflow. In v1.2.0 sqlmock.Rows has changed to struct from interface, if you were using any type references to that interface, you will need to switch it to a pointer struct type. Also, sqlmock.Rows were used to implement driver.Rows interface, which was not required or useful for mocking and was removed. Visit godoc for general examples and public api reference. See .travis.yml for supported go versions. Different use case, is to functionally test with a real database - go-txdb all database-related actions are isolated within a single transaction so the database can remain in the same state. -
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SqlKata QueryBuilder
SQL query builder, written in c#, helps you build complex queries
SqlKata is a powerful and elegant SQL query builder for .NET that provides a fluent, expressive syntax to construct complex SQL queries programmatically. It supports multiple database engines and can compile queries to raw SQL with parameters, making it easy to integrate with Dapper or ADO.NET. SqlKata emphasizes flexibility and readability, enabling developers to write maintainable and reusable query logic. -
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Supabase Realtime
Listen to your to PostgreSQL database in realtime via websockets
Supabase is an open-source Firebase alternative. Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, and Storage. Every project is a full Postgres database, the world's most trusted relational database. Add user sign ups and logins, securing your data with Row Level Security. Store, organize, and serve large files. Any media, including videos and images. Write custom code without deploying or scaling servers. Supported by a network of early advocates, contributors, and champions. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. -
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that keeps backends simple and consistent. -
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Trailbase
A blazingly fast, open-source application server with type-safe APIs
A blazingly fast, open-source application server with type-safe APIs, built-in JS/ES6/TS Runtime, Auth, and Admin UI built on Rust, SQLite & V8. Simplify with fewer moving parts: an easy-to-self-host, single-file, extensible backend for your mobile, web, or desktop application. Sub-millisecond latencies eliminate the need for dedicated caches, no more stale or inconsistent data. -
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Yearning SQL
A most popular sql audit platform for mysql
The MYSQL SQL audit tool used to unpack. Using the compiled binary files, only one database does not rely on any other plug-in to easily deploy. go+vue brings a smooth and beautiful user interface and powerful performance to Yearning. Yearning automatically reviews Mysql's syntax grammar norms based on Mysql grammar analysis and conducts functional audits based on the audit rules implemented by Yearning itself. -
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YugabyteDB
The high-performance distributed SQL database for global apps
Microservices need a cloud-native relational database that is resilient, scalable, and geo-distributed. YugabyteDB powers your modern applications. Get instantly productive with a Postgres compatible RDBMS. YugabyteDB reuses PostgreSQL’s query layer and supports all advanced features. Scale-out and in with zero impact. Proven in production to scale beyond 300K TPS, over 100TB of data, and thousands of concurrent connections. Achieve continuous availability during infrastructure failures and on maintenance tasks such as software upgrades and distributed backups. Use powerful replication and data geo-partitioning capabilities to achieve the latency, resilience, and compliance your applications need. Deploy YugabyteDB in public, private, and hybrid cloud environments, on VMs, containers, or bare metal. Lower TCO for dev, staging, and production deployments. Powering a wide range of cloud-native workloads. Risk-free migration from on-prem to the cloud. -
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ZhParser
PostgreSQL extension for full-text search of Chinese language
zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications. -
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apache/solr-operator
Official Kubernetes operator for Apache Solr
Solr Operator is a Kubernetes operator for managing Apache Solr clusters in a cloud-native environment. It automates deployment, scaling, and maintenance of Solr instances within Kubernetes, making it easier to manage search infrastructures at scale. It supports rolling updates, backups, and configuration management for Solr. -
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asami
A flexible graph store, written in Clojure
Asami is now being developed in this repository, as it is no longer being supported at Cisco. The deployment to Clojars has not changed, as it was always to my personal account. -
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athenaSQL
SQL builder for AWS Athena, inspired by sparkSQL
athenaSQL is Athena SQL query builder, inspired by sparkSQL. It borrow some sparkSQL’s concept sparkSQL. It was initially designed to eliminate the need for hard-coding SQL queries as strings within Python scripts and as an alternative to any bespoke SQL query templating. However, it offers the flexibility to be used in various ways as needed. -
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go-orbit-db
Go version of P2P Database on IPFS
orbit-db is a distributed peer-to-peer database on IPFS. This project intends to provide a fully compatible port of the JavaScript version in Go. The majority of this code was vastly derived from JavaScript's orbit-db project. -
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ksqlDB
The database purpose-built for stream processing applications
Build applications that respond immediately to events. Craft materialized views over streams. Receive real-time push updates, or pull current state on demand. Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your applications. Use a familiar, lightweight syntax to pack a powerful punch. Capture, process, and serve queries using only SQL. No other languages or services are required. ksqlDB enables you to build event streaming applications leveraging your familiarity with relational databases. Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. They're useful for representing a series of historical facts. Tables are mutable collections of events. They let you represent the latest version of each value per key. -
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lmdb-js
Simple, efficient, ultra-fast, scalable data store wrapper for LMDB
This is an ultra-fast NodeJS, Bun, and Deno interface to LMDB; probably the fastest and most efficient key-value/database interface that exists for storage and retrieval of structured JS data (objects, arrays, etc.) in a true persisted, scalable, ACID compliant database. It provides a simple interface for interacting with LMDB, as a key-value db, which makes it easy to fully leverage the power, crash-proof design, and efficiency of LMDB using intuitive JavaScript, and is designed to scale across multiple processes or threads. Several key features make it idiomatic, highly performant, and easy to use LMDB efficiently. -
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nippleJS
A virtual joystick for touch capable interfaces
A virtual joystick for touch-capable interfaces. Import it the way you want into your project. Your joystick's container has to have its CSS position property set, either absolute, relative, static. You can configure your joystick in different ways. The dom element in which all your joysticks will be injected. You can listen events both on the manager and all the joysticks. But some of them are specific to its instance. When listening on the manager, you can also target a joystick in particular by prefixing the event with its identifier. -
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pg-listen
PostgreSQL LISTEN & NOTIFY for node.js that finally works
pg-listen is a Node.js library that simplifies listening to PostgreSQL notifications via the LISTEN/NOTIFY mechanism. It enables real-time event handling by subscribing to PostgreSQL channels and reacting to database changes. pg-listen is ideal for applications needing real-time updates or inter-process communication. -
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pg-osc
Easy CLI tool for making zero downtime schema changes
pg-osc (Online Schema Change) is a CLI tool for making non-blocking schema changes to large PostgreSQL tables. It creates a shadow table, copies data incrementally, and swaps tables with minimal downtime. Ideal for high-traffic applications, pg-osc lets teams modify database structures safely in production environments. -
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pgstream
PostgreSQL replication with DDL changes
pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided output. One of the main differentiators of pgstream is the fact that it tracks and replicates schema changes automatically. It relies on SQL triggers that will populate a Postgres table (pgstream.schema_log) containing a history log of all DDL changes for a given schema. Whenever a schema change occurs, this trigger creates a new row in the schema log table with the schema encoded as a JSON value. This table tracks all the schema changes, forming a linearised change log that is then parsed and used within the pgstream pipeline to identify modifications and push the relevant changes downstream.
