A multi-model Big Data graph store supporting graph, document, key/value, and object models
AGPL-3.0 License
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.
Have a look at the Architecture and Concepts page to understand how the platform works.
The visual face of BigConnect, available in the bigconnect-explorer repository.
BigConnect can be run just about anywhere using the deployment methods described below.
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:
The easiest way to interact with BigConnect is to use the Cypher query language.
Get started by following the Cypher tutorials available here.
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 installations require a Hadoop cluster with Apache Accumulo 1.9, RabbitMQ and an ElasticSearch 7.6+ cluster.
Contributions are warmly welcomed and greatly appreciated. Here are a few ways you can contribute:
BigConnect is an open source product licensed under AGPLv3.