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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.

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.

Usage

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