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Get Started with Graph Analytics in Oracle Autonomous Database for free
Try a scalable graph database that makes it easy to explore and discover relationships in data for industries such as financial services, marketing, manufacturing, and more. Oracle Autonomous Database’s graph offering comes with close to 60 built-in, parallel analytic functions; a graph query language for simple data discovery; and developer APIs.
Oracle Cloud Free Tier makes it easy to get started by offering two always-free Autonomous Database instances with 1 OCPU and 20 GB of storage each. Analysts and developers also get US$300 in free credits for a 30-day trial of a wide range of other Oracle Cloud services.
Start learning from the relationships in your data by easily converting relational data into a graph model, and then visualizing it.
Graph features offer powerful analytics and fast, enterprise-grade performance to help you discover insights so that your organization becomes more data-driven.
Step 1
Create and login to your Oracle cloud account
Create an account through a web browser or mobile device. It only takes a few minutes.
- Sign up for a free Oracle Cloud account
- Read the welcome email for access details
- Login to the free Oracle Cloud account
Step 2
Create an Oracle Autonomous Database
Produce a database instance and utilize its embedded graph technologies to query, analyze, and visualize graph content stored in a Free Tier Autonomous Database instance.
- Choose a workload and deployment type for your database
- Create administrator credentials and choose network access
- Click "Create Database"—it’s that easy
Step 3
Set up a graph environment
Developers and analysts can load graph data from files before setting up a graph database with a few simple steps.
- Create a Free Tier Virtual Machine
- Deploy Graph Server from Oracle Cloud Infrastructure (OCI) Marketplace
- Set up the database user in Autonomous Database
- Load table data and create a graph
Step 4
Learn how to create and explore graphs
Discover how integrating multiple datasets in a graph can lead to new insights. Developers and analysts can perform the following common graph queries and analyses: pattern matching, detecting cycles, finding important nodes, community detection, and recommendations.
- Perform graph query and analysis in JShell
- Experiment with different graph algorithms
- Try graph visualizations
Get started
Try a graph workshop
Explore graph features at no cost.
Try Oracle Cloud Free Tier
Get started with graph analytics in Oracle Autonomous Database.