bigconnect / bigconnect

A multi-model Big Data graph store supporting graph, document, key/value, and object models

Home Page:https://bigconnect.io

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The multi-model Big Graph Store

Welcome to BigConnect!

bigconnect.io

A massively scalable Big Data graph store designed for holding and querying vast amounts of raw data.

It can store objects and links with multi-valued properties and raw data, fast queries, aggregations, distributed data processing pipelines and super-strong security (row and property-level).

Can be used to build solutions that cover most data analytics use cases and industry requirements, from financial analysis to social media and cybersecurity.

Can be deployed on-premise, in the cloud, or both.

Features:

  • Dynamic data model (concepts, relations, properties, tables), multivalued properties and property metadata support
  • Authorizations and visibilities for rows and columns
  • Indexing for fast search: full-text, fuzzy, spatial, aggregations
  • Async distributed processing pipeline for applying custom logic on import/update/delete operationg
  • Cypher query language support
  • Super extensible and modular
  • Beautiful feature-rich visual explorer
  • Developed in Java

Have a look at the Architecture and Concepts page to understand how the platform works.

Supported backends

  • Memory
  • RocksDB
  • Apache Accumulo
  • ElasticSearch

BigConnect Explorer

The visual face of BigConnect, available in the bigconnect-explorer repository.

Features:

  • Dashboard with configurable widgets
  • Collaboration using spaces
  • Global faceted search with aggregation support
  • Graph visualization with advanced features
  • Charts
  • Map visualization
  • Timeline visualization
  • Custom item viewer for documents, video, audio & images
  • Annotation of text & images
  • Data Schema configuration
  • Extensible at all levels with plugins
  • LDAP & SSO integration
  • Developed in Java, React & FlightJS

BigConnect Core Installation

BigConnect can be run just about anywhere using the deployment methods described below.

Docker

To run the latest build via Docker with the RocksDB backend and embeded ElasticSearch, just type

docker run -d -p 10242:10242 -p 10243:10243 bigconnect/bigconnect

If you would like to persist data between runs you can supply a volume to the docker run command:

docker run -d -p 10242:10242 -p 10243:10243 -v /tmp/datastore:/bc/datastore bigconnect/bigconnect

Now, open a browser and go to http://localhost:10243/cypherlab/index.html

Login with the following details:

  • Connect URL: bolt://localhost:10242
  • Username: admin
  • Password admin

The easiest way to interact with BigConnect is to use the Cypher query language.

Get started by following the Cypher tutorials available here.

Locally

To run the latest build you need to build the project first. You need to have Maven installed and JDK11.

mvn -Pbin-release clean install

The release artifacts are available in the release/target/bc-core-* folder

Advanced

Advanced installations require a Hadoop cluster with Apache Accumulo 1.9, RabbitMQ and an ElasticSearch 7.6+ cluster.

Contributing

Contributions are warmly welcomed and greatly appreciated. Here are a few ways you can contribute:

  • Start by fixing some issues
  • Submit a Pull Request with your fix

Getting help & Contact

License

BigConnect is an open source product licensed under AGPLv3.

About

A multi-model Big Data graph store supporting graph, document, key/value, and object models

https://bigconnect.io

License:GNU Affero General Public License v3.0


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