For Databricks sales teams

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

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

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Example

A typical enterprise stack, through a Databricks lens

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

50%depth-weighted integration coverage

3 of 6 stack technologies have documented Databricks integrations

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

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

What Databricks attaches to

36 documented technology integrations across 5 architecture layers. Sources linked; ordering does not imply ranking.

Infrastructure

Amazon Web ServicesNative

Native deployment on AWS with S3 storage, IAM integration, and Unity Catalog

Source

Microsoft AzureNative

First-party Azure service with Entra ID integration and ADLS storage

Source

Google CloudNative

Native deployment on GCP with GCS storage and BigQuery connector

Source

HashiCorpCertified

Infrastructure-as-code management of Databricks workspaces, clusters, and jobs

Source

Data

dbtNative

SQL transformations on Databricks SQL warehouses with Unity Catalog lineage

Source

FivetranNative

Automated data ingestion into Delta Lake tables via Partner Connect

Source

SnowflakeAPI

Delta Sharing protocol for cross-platform data exchange without copies

Source

ConfluentNative

Kafka-to-Delta Lake streaming pipelines with exactly-once semantics

Source

InformaticaCertified

Enterprise data integration with native Delta Lake write support

Source

Applications

TableauNative

Direct SQL connection to Databricks SQL endpoints for live dashboards

Source

Power BINative

Native Power BI connector with DirectQuery for Databricks SQL warehouses

Source

Observability

DatadogAPI

Cluster performance monitoring, job tracking, and Spark metric collection

Source

Identity

OktaNative

SAML SSO and SCIM provisioning for workspace user management

Source

Additional documented integrations

AWSAirbyteSalesforceBigQueryCollibraMicrosoft PurviewAtlanLangChainHugging FaceDenodoMongoDBTalendMonte CarloGreat ExpectationsWorkdaySAPNVIDIAdbt LabsMatillionDataRobotDataikuH2O.aiLabelbox

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