ThoughtSpot can be deployed using several different GCP instance types.

ThoughtSpot can be deployed in your GCP environment by deploying compute (VM) instances in your VPC as well as an underlying persistent storage infrastructure. Currently two configuration modes are supported by ThoughtSpot:

  • Mode 1: Compute VMs + SSD Persistent Disk storage-only
  • Mode 2: Compute VMs + SSD Persistent Disk and Google Cloud Storage (GCS).

For more information about Persistent Storage, see Zonal Persistent SSD disks in Google’s Cloud documentation.

For more information about Google Cloud Storage, see Cloud Storage Buckets in Google’s Cloud documentation.

All GCP VMs (nodes) in a ThoughtSpot cluster must be in the same zone (and, therefore, also in the same region). ThoughtSpot does not support deploying VMs (nodes) of the same cluster across different zones. For more information, see Regions and Zones in Google’s Cloud documentation.

ThoughtSpot GCP instance types

When choosing an instance type, ensure that it uses Intel CPUs.

VMs with Persistent Disk-only storage

Per VM user data capacity Instance type CPU/RAM Recommended per-VM
Zonal Persistent SSD Disk volume
Required root volume capacity
208 GB n1-highmem-64 64/416 2x 1 TB 200 GB for each node
312 GB n1-highmem-96 96/624 2x 1.5 TB 200 GB for each node
100 GB n1-highmem-32 32/208 2X 400 GB 200 GB for each node
20 GB n1-highmem-16 16/122 2X 400 GB 200 GB for each node
180 GB n1-standard-96 96/330 2X 1 TB 200 GB for each node

VMs with Persistent Disk and Google Cloud storage

Per VM user data capacity Instance type CPU/RAM Recommended per-VM
Zonal Persistent SSD Disk volume
Required root volume capacity
208 GB n1-highmem-64 64/416 1X 500 GB 200 GB for each node
312 GB n1-highmem-96 96/624 1X 500 GB 200 GB for each node
100 GB n1-highmem-32 32/208 1X 500 GB 200 GB for each node
20 GB n1-highmem-16 16/122 1X 500 GB 200 GB for each node
180 GB n1-standard-96 96/330 1X 500 GB 200 GB for each node

For most instances, the per VM recommended user data capacity is set at 50% of the available RAM on the instance. However, in the case of our 16CPU/122GB RAM and 32CPU/208GB RAM instances, we support user data sizes below those numbers to budget for application overhead.