Real-time
Two-way sync
Changes in Databricks or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Databricks to HubSpot integration — real-time, two-way sync
Keep Databricks and HubSpot in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Databricks and HubSpot
Sync HubSpot into Databricks continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Line Item, Product, Ticket, Quote from HubSpot land in Databricks as live tables, updated within seconds, and columns computed in Databricks write back to fields in HubSpot. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Write warehouse-computed lead and account scores back to HubSpot properties on a schedule or in near real time.
- Sync HubSpot Tickets with an internal support database to unify service reporting across channels.
- Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
CRM analytics on live data
Accounts, contacts, and activity from HubSpot are queryable in Databricks moments after they change, so dashboards stop lagging the reality they describe.
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Databricks appear as fields in HubSpot, where the people working accounts actually see them.
A single customer view
Join HubSpot's relationship data with billing, product, and support data in Databricks to build the customer picture the CRM alone cannot hold.
What you can sync between Databricks and HubSpot
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Databricks objects | HubSpot objects | |
|---|---|---|
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Pipeline Synced with incremental and full sync per the Stacksync docs. | |
| Views Curated read-only projections used as sync sources for downstream tools. | Stages Synced with incremental and full sync per the Stacksync docs. | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Audit Synced with incremental and full sync per the Stacksync docs. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Contact Synced with incremental and full sync per the Stacksync docs. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Company Synced with incremental and full sync per the Stacksync docs. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Deal Synced with incremental and full sync per the Stacksync docs. |
What ships with Databricks ⇄ HubSpot
Connect Databricks and HubSpot for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–HubSpot connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or HubSpot data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Databricks or HubSpot record.
Observability
Monitoring
Track your Databricks ⇄ HubSpot sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Databricks and HubSpot.
How the Databricks and HubSpot connectors work
Databricks
- Integration surface
- SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
- Authentication
- Personal access tokens or OAuth machine-to-machine credentials for service principals
- Change detection
- Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
- Capabilities
- read · write · CDC
- Rate limits
- Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
HubSpot
- Integration surface
- REST API (CRM v3)
- Authentication
- OAuth (choose HubSpot account and authorize Stacksync); requires a HubSpot 'Super Admin' to grant access; optional "Grant access to sensitive fields" checkbox for sensitive/highly sensitive fields
- Change detection
- Records: incremental near-real-time change tracking. Associations: HubSpot has no native association CDC
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- Request limits vary by subscription tier and API type.
How it works
How to connect Databricks to HubSpot — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Databricks and HubSpot with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Databricks
connected
HubSpot
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and HubSpot objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Databricks ⇄ HubSpotCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Databricks HubSpotCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and HubSpot integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and HubSpot: authenticate both systems, choose the objects to sync (such as Databricks's Delta Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Databricks and HubSpot: CRM analytics on live data; Scores and segments back on the record; A single customer view. Accounts, contacts, and activity from HubSpot are queryable in Databricks moments after they change, so dashboards stop lagging the reality they describe.
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Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. HubSpot: REST API (CRM v3). Authentication: OAuth (choose HubSpot account and authorize Stacksync); requires a HubSpot 'Super Admin' to grant access; optional "Grant access to sensitive fields" checkbox for sensitive/highly sensitive fields. Stacksync manages authentication, retries, and rate limits on both sides.
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HubSpot: Associations CDC Boost is unavailable on Free and Starter HubSpot accounts; without it, detecting association changes requires full scans (1M associations > 1 hour). Databricks: SQL warehouses expose standard JDBC/ODBC connectivity plus a REST statement-execution endpoint, so tools can integrate without cluster management. Stacksync's field mapping accounts for these differences between Databricks and HubSpot without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Databricks and HubSpot records are not retained after a sync operation.
SECURITY
Security teams love Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Databricks and HubSpot.
Popular · 8 of 386
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Databricks ⇄ Intercom -
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HubSpot ⇄ Yellowbrick -
HubSpot ⇄ Snowflake -
HubSpot ⇄ BigQuery -
HubSpot ⇄ MotherDuck
No integrations match .
