TigerGraph Cloud – The Scalable Distributed Graph DBaaS Supports Microsoft Azure

When we developed TigerGraph, the scalable graph database as a service for agile teams who’d rather be building innovative applications to deliver new insights than managing databases, we made sure it would be cloud agnostic. That’s why we’re excited to announce we’ve launched Microsoft Azure as another choice that our users can select for the backend of their TigerGraph Cloud service.

You can choose from two Azure regions: West US (California, US West) and West Europe (Amsterdam, Netherlands). Five different instance types are supported in each region, ranging from 8 vCPUs with 16 GiB RAM, to 32 vCPUs with 256 GiB RAM. We’ve kept the pricing for instances, storage, and backup on a par with our AWS pricing, so it’s up to you. Cloud agnostic.  For more on pricing, see www.tigergraph.com/tigergraph-cloud-pricing/.

How Do I Get Started?

Provisioning a TigerGraph solution running on Azure is easy. Just follow the simple steps here:

1. Signup/login to tgcloud.io

2. Create a solution in “My Solutions” and choose “Azure” as the platform (a valid credit card is required in your TigerGraph Cloud account)

Storage and Backup Choices on Microsoft Azure:

You can choose from the following storage components for TigerGraph Cloud:

1. Disk Storage: TigerGraph Cloud uses Azure Premium SSD Managed Disks (https://docs.microsoft.com/en-us/azure/virtual-machines/windows/disks-types#premium-ssd) as the attached disk for TigerGraph solutions.

2. Backup Storage: For the built-in 7 copies of full database backups, TigerGraph solutions use Azure Files (https://azure.microsoft.com/en-us/services/storage/files/) for backups provisioned on Microsoft Azure.

Pricing: Storage and backup unit pricing are the same, whether you choose to run on Azure or AWS. Please refer to the “Pricing” tab on https://www.tigergraph.com/cloud/

Starting your Production-Ready TigerGraph Solution on Azure:

Where do I start if I want to have a highly available production-ready TigerGraph cluster on tgcloud.io with Azure?

Here is a recommended configuration to start with: choose TG.C8.M16 with 128 GB of disk, and enter 2 for partition factor and 2 for replication factor for a highly available TigerGraph cluster.

Note: More technical details about partition factor and replication factor.

This configuration allows you to use a total of 32 GB memory to accommodate your graph data and computation. Find out more on sizing here: https://www.tigergraph.com/tigergraph-cloud-pricing/

What’s Coming?

TigerGraph is a cloud neutral graph database and analytics platform. Stay tuned for more announcements on TigerGraph Cloud regarding the upgrade to TigerGraph 3.0, and the upcoming support for the Google Cloud Platform (GCP).

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