For Google Cloud sales teams

Know every account's stack before you call on it.

StackFacts maps a prospect's technology footprint, shows where Google Cloud attaches, and generates the positioning play - in about 90 seconds.

Run a free landscape

No credit card. Three free landscapes a month.

Example

A typical enterprise stack, through a Google Cloud lens

Given an account running AWS, Kubernetes, Snowflake, ServiceNow, Okta, Splunk:

66%depth-weighted integration coverage

4 of 6 stack technologies have documented Google Cloud integrations

Gaps a rep should know before the first call: AWS, Kubernetes

Computed from the same integration data below. Every account scores differently - that's the point.

What Google Cloud attaches to

55 documented technology integrations across 8 architecture layers. Sources linked; ordering does not imply ranking.

Data

SnowflakeNative

Cross-cloud data sharing and external tables on Google Cloud Storage

Source

DatabricksNative

Delta Lake on GCS, BigQuery connector, and managed Spark via Dataproc

Source

MongoDBCertified

MongoDB Atlas on GCP with Private Service Connect for secure database access

Source

ConfluentCertified

Managed Kafka on GCP with BigQuery sink connectors for analytics

Source

Observability

DatadogNative

GCP metrics and logs integration with GKE container monitoring and tracing

Source

SplunkAPI

GCP log export via Pub/Sub for centralized SIEM and observability

Source

Infrastructure

HashiCorpCertified

Terraform GCP provider for infrastructure-as-code, Vault integration with IAM and Secret Manager

Source

Security

Palo Alto NetworksCertified

VM-Series firewall for GCP and Prisma Cloud workload protection

Source

CrowdStrikeCertified

Falcon sensor for GCE/GKE workloads with SCC finding integration

Source

Identity

OktaCertified

SAML/OIDC federation for GCP console and Workspace access

Source

Applications

ServiceNowCertified

ITSM integration with GCP resource provisioning and event-driven workflows

Source

SalesforceAPI

CRM data sync to BigQuery for analytics and Pub/Sub event streaming

Source

SAPCertified

SAP certified infrastructure on GCP with BigQuery for analytics

Source

WorkdayAPI

HR data sync to BigQuery for workforce analytics

Source

AI / ML

AnthropicNative

Claude models available natively through Vertex AI Model Garden

Source

Compute / Runtime

DockerNative

Container deployment to Cloud Run and GKE with Artifact Registry

Source

Additional documented integrations

BigQueryDataflowVertex AIChronicle Security OperationsMandiantOracleNew RelicElasticAnthropic ClaudeMistralGoogle Cloud MarketplaceShopifyApigeeUniversal Commerce ProtocolFortinetCloudflareNVIDIAdbt LabsGrafana LabsPing IdentityWizDrataSecureframeVMwareNetAppRed HatSUSEFastlyRedisCouchbaseCockroachDBSingleStoreTiDBMilvusTalendInformaticaTrend MicroCheck PointLabelbox

What a Google Cloud rep gets from a landscape

1. The stack

The account's technology footprint across seven layers - what you know, plus what public evidence shows, with confidence labeled.

2. The play

What to lead with given their stack, a talk track, and evidence-based discovery questions with "if confirmed" outcomes.

3. The entry points

Where Google Cloud integrates with what they already run - the integrations above, matched to their actual stack.

Run a landscape on your next account

StackFacts maintains vendor neutrality. Integration data is compiled from public vendor documentation with sources linked and verification dates tracked; inclusion and ordering never imply ranking or recommendation.

Positioning intelligence for other platforms

Amazon Web Services · Arista Networks · Cisco · Cloudflare · Confluent · CrowdStrike · Databricks · Datadog · Dynatrace · Fortinet · GitLab · HashiCorp · Microsoft · MongoDB · Netskope · NVIDIA · Okta · Palo Alto Networks · SailPoint · Salesforce · SAP · SentinelOne · ServiceNow · Snowflake · Splunk · Wiz · Workday · Zscaler