For Datadog sales teams

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

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

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Example

A typical enterprise stack, through a Datadog lens

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

67%depth-weighted integration coverage

5 of 6 stack technologies have documented Datadog integrations

Gaps a rep should know before the first call: Splunk

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

What Datadog attaches to

39 documented technology integrations across 6 architecture layers. Sources linked; ordering does not imply ranking.

Infrastructure

Amazon Web ServicesNative

Full-stack AWS monitoring - EC2, ECS, Lambda, RDS, S3, and 80+ AWS services

Source

Microsoft AzureNative

First-party Azure integration for VMs, AKS, App Service, and resource monitoring

Source

Google CloudNative

GCP monitoring for Compute Engine, GKE, Cloud Functions, and Cloud Run

Source

HashiCorpCertified

Terraform provider for Datadog resources, plus Vault and Consul monitoring

Source

Compute / Runtime

KubernetesNative

Cluster monitoring, pod-level metrics, container tracing, and log aggregation

Source

DockerNative

Container-level metrics, log collection, and distributed tracing

Source

Data

SnowflakeAPI

Warehouse performance monitoring, query profiling, and cost tracking

Source

PostgreSQLNative

Query performance monitoring, wait event analysis, and explain plan capture

Source

MongoDBAPI

MongoDB Atlas cluster monitoring with query performance insights

Source

ConfluentAPI

Kafka broker, consumer group, and topic monitoring with lag tracking

Source

Applications

PagerDutyNative

Automatic alert routing and incident creation from Datadog monitors

Source

SlackNative

Alert notifications, incident updates, and on-call management in Slack channels

Source

GitLabAPI

CI/CD pipeline monitoring with test performance tracking and flaky test detection

Source

Identity

OktaAPI

SAML SSO for Datadog organization access with role mapping

Source

Security

CrowdStrikeAPI

Falcon detection events ingested into Cloud SIEM for security correlation

Source

Additional documented integrations

AWSJiraGitHubTerraformMySQLRedisOpenTelemetryJenkinsRapDev IntegrationsMuleSoftCisco MerakiGitHub CopilotLiteLLMAzureServiceNowCloudflareZscalerPalo Alto NetworksNew RelicSnykCriblAkamaiFastlyCockroachDB

What a Datadog 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 Datadog 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 · Dynatrace · Fortinet · GitLab · Google Cloud · HashiCorp · Microsoft · MongoDB · Netskope · NVIDIA · Okta · Palo Alto Networks · SailPoint · Salesforce · SAP · SentinelOne · ServiceNow · Snowflake · Splunk · Wiz · Workday · Zscaler