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Cloud框架"],"readme":"_**`This project is in active development. A stable version will be released soon.`**_\n\n# \u003cimg src=\"https://raw.githubusercontent.com/rmagen/unipop/master/docs/images/unipop-logo.png\" width=70 style=\"vertical-align:middle;\"\u003e \u003cspan style=\"vertical-align:middle;\"\u003eUnipop\u003c/span\u003e\n[![Build Status](https://travis-ci.org/unipop-graph/unipop.svg?branch=master)](https://travis-ci.org/unipop-graph/unipop)\n\n\u003e Analyze data from **multiple sources** using the [power of\n**graphs**](https://academy.datastax.com/resources/getting-started-graph-databases).\n\n**Unipop** is a data [Federation](https://en.wikipedia.org/wiki/Federated_database_system)\nand [Virtualization](https://en.wikipedia.org/wiki/Data_virtualization)\nengine that models your data as a \"virtual\" graph,\nexposing a querying API using the [Gremlin](http://tinkerpop.apache.org/gremlin.html) GQL\n([Sql](https://github.com/twilmes/sql-gremlin)\nand [SPARQL](https://github.com/dkuppitz/sparql-gremlin) are also available.)\n\nThis means you get the benefits of a graph data model without migrating/replicating/restructuring\nyour data, whether its stored in a ***RDBMS***, **_NoSql Store_**,\nor any other data source (see \"Customize and Extend\" below.)\n\n\n### Why Graphs?\n\nGraphs provide a very \"natural\" way to analyze your data.\nThe simple Vertex/Edge structure makes it very easy to model complex and varied data,\nand then analyze it by exploring the connections/relationships in it.\n\nThis is especially relevant for a data Federation / Virtualization platform,\nwhich integrates a large variety of different data sources, structures, and schemas.\n\n\nOur chosen GQL is **Gremlin**, which comes as part of the\n[**Apache Tinkerpop**](http://tinkerpop.incubator.apache.org/) framework.\nLet's compare Gremlin to _**SQL**_, the industry standard:\n\n|           | Schema   | Relationships   | Flexibility   | Usability   |\n|:---------:|----------|-----------------|---------------|-------------|\n| SQL       | _Structured_ - Tables and their fields need to be explicitly defined. | Joins require knowledge of all relationships (PK/FK), and can become [quite complicated](http://sql2gremlin.com/#_recommendation). | Sql's syntax requires very specific, rigid structures. | Queries are loosely-typed \"free text\", often requiring complicated ORMs. |\n| Gremlin   | _Unstructured_ - Different structures can be created on the fly. | Connections (i.e edges) are \"First-class citizens\", enabling easy exploration of your data. | Queries are written in a pipelined (\"functional\") syntax, providing considerable flexibility. | Host Language embedding. Easier to read, write, find errors, and reuse queries. |\n\n\nThe Tinkerpop framework also provides us with other useful features \"out of the box\":\n- **Traversal Strategies** - an extensible query optimization mechanism.\nUnipop utilizes this to implement different performance optimizations.\n- **Console \u0026 Server** - production grade tooling.\n- **Language Drivers** - JavaScript, TypeScript, PHP, Python, Java, Scala, .Net, Go.\n- **Extensible Query Languages** - [Gremlin](http://tinkerpop.apache.org/gremlin.html),\n[SQL](https://github.com/twilmes/sql-gremlin), [SPARQL](https://github.com/dkuppitz/sparql-gremlin)\n- **DSL support**\n- **Testing Framework**\n\n\n## Getting started\n*TBD*\n\n#### Setup\n- Console - a local instance with an interactive Shell for issuing queries.\n- Server - a web server with WebSocket \u0026 HTTP APIs.\n- Embedded - run Unipop inside any JVM based application.\n\n#### Configure\nAdd your data sources to Unipop's configuration. Configuring a source entails mapping its schema to a \"property\ngraph\" model (i.e. vertices \u0026 edges).\nUnipop is built in an extensible way, enabling many different mapping options.\n\n#### Query\nConsole, Server, Embedded, or Language drivers\n\n## Customize \u0026 Extend\n*TBD*\n\n## How it works\n*TBD*\n\nTechnical details.\n\n## Contributing\n*TBD*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funipop-graph%2Funipop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funipop-graph%2Funipop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funipop-graph%2Funipop/lists"}