Getting Started
Deploy Invana infrastructure using docker compose
Invana Graph Analytics System can be deployed in your local or cloud using docker compose.

Features

  1. 1.
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Install using Docker

You can use the following templates to setup Invana with supported graph databases as graph processing engine.
Using JanusGraph
Using Neo4j
Using ArcadeDB
git clone [email protected]:invanalabs/docker-templates.git
cd docker-templates/invana-with-janusgraph
docker-compose up
git clone [email protected]:invanalabs/docker-templates.git
cd docker-templates/invana-with-neo4j
docker-compose up
git clone [email protected]:invanalabs/docker-templates.git
cd docker-templates/invana-with-arcadedb
docker-compose up
In theory, you can run any Apache TinkerPop supported graph database as graph processing engine with Invana.
Invana Engine
http://<ip-address>:8200
Invana Studio
http://<ip-address>:8300
Apache TinkerPop Server
http://<ip-address>:8182
Docker compose will expose the following services, that lets you visualise and browse through the graph data.

Graph databases

  1. 1.
    ​JanusGraph​

Usage

  • Python API
  • GraphQL API
  • REST API
Let's start with a story of graph.