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Marketing ⇄ Database

Demandbase to Google Cloud SQL integration — real-time, two-way sync

Keep Demandbase and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Demandbase and Google Cloud SQL

Give your team Demandbase's contacts, campaigns, and engagement in Google Cloud SQL: query them with SQL, push audiences built from your own data back to Demandbase, and skip the marketing API.

Demandbase holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in Google Cloud SQL, hard to get into campaigns without manual exports.

Stacksync mirrors People (Persons), Activities, Campaigns, Account & Person Lists (Audiences) from Demandbase into Instances, Databases, Schemas, Tables in Google Cloud SQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in Google Cloud SQL, from usage, orders, or account status, sync back into Demandbase to drive campaigns and ads, with Demandbase kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 03 Enrich CRM Company and Contact records with Demandbase firmographics, technographics, and verified business emails through the B2B Company and Contact Details endpoints.
  • 04 Sync Opportunities and Activities two-way so CRM deal and engagement data flows into Demandbase reporting and Demandbase-calculated insights flow back to the warehouse.

Common sync patterns

React to marketing changes as row changes

A new lead, form fill, or list change in Demandbase arrives as a row change in Google Cloud SQL, so scoring, jobs, and notifications run in the tooling your team already uses.

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

Query Demandbase like a database

Contacts, leads, audiences, and campaign metrics from Demandbase live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

What you can sync between Demandbase and Google Cloud SQL

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.

Demandbase objects Google Cloud SQL objects How this pairing syncs
Campaigns Marketing campaign records and creative assets exported through the Data Export API; read-only reporting feed. Databases Scope the tables included in a sync configuration. Campaigns is specific to Demandbase and Databases to Google Cloud SQL — each maps to any object or custom field on the other side.
Account & Person Lists (Audiences) Named account and person segments exported via Data Export; custom audiences pushed into Demandbase through the Data Import API. Read and write. Schemas Namespace tables in PostgreSQL and SQL Server instances. Account & Person Lists (Audiences) is specific to Demandbase and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side.
Company Details (B2B enrichment) Firmographics, technographics, competitors, and corporate family tree fetched by domain or name via the B2B Company Search and Details endpoints; read-only enrichment. Tables Mapped directly to sync targets; schema changes can be propagated. Company Details (B2B enrichment) is specific to Demandbase and Tables to Google Cloud SQL — each maps to any object or custom field on the other side.
Change Subscriptions Company firmographic, company news, family-tree (ownership), and DB person employment subscriptions delivered as webhook alerts with a signing secret; the real-time change feed. Rows Read and written by primary key during each sync cycle. Change Subscriptions is specific to Demandbase and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
Accounts Company/account records with firmographics, intent, and Demandbase qualification and engagement scores; exported via the Data Export API and imported or updated via the Data Import API. Views Read-only sources for shaping data before syncing it out. Accounts is specific to Demandbase and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Opportunities Opportunity records synced from the CRM into Demandbase; exported with calculated insights and imported or updated through the Data Import API. Read and write. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Opportunities is specific to Demandbase and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Demandbase and Google Cloud SQL

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Demandbase Google Cloud SQL Sub-second propagation

DetectionDemandbase notifies Stacksync of record changes through webhook events. Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL.

DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.

Google Cloud SQL Demandbase Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

DeliveryEach detected change is written to Demandbase through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Demandbase: Credit-based per API call; bulk jobs accept up to 10,000 records per submission, CSV uploads up to 5GB, and result URLs stay valid 24 hours; subscription alerts page up to 5,000 entities and list endpoints up to 100 per page.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Demandbase ⇄ Google Cloud SQL

Connect Demandbase and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Demandbase–Google Cloud SQL connection.

Real-time

Two-way sync

Changes in Demandbase or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Demandbase or Google Cloud SQL 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 Demandbase or Google Cloud SQL record.

Observability

Monitoring

Track your Demandbase ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Demandbase and Google Cloud SQL.

How the Demandbase and Google Cloud SQL connectors work

Demandbase

Integration surface
REST APIs (Demandbase One) - a B2B API (company/contact search, details, and match with async bulk enrichment jobs), a read-only Data Export API and a write-capable Data Import API (both async bulk jobs), and a Subscription API for webhook change alerts.
Authentication
JWT bearer tokens minted from Demandbase One API Key Sets at the platform level; each credential set expires after 8 hours and is rotated. Legacy single-user API tokens are deprecated.
Change detection
Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL secured with a signing secret; bulk reads run as async export jobs (submit, poll, download). No log-based CDC.
Capabilities
read · write · webhooks
Rate limits
Credit-based per API call; bulk jobs accept up to 10,000 records per submission, CSV uploads up to 5GB, and result URLs stay valid 24 hours; subscription alerts page up to 5,000 entities and list endpoints up to 100 per page.

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Demandbase to Google Cloud SQL — 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.

  1. 01

    Connect your apps

    Authenticate Demandbase and Google Cloud SQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Demandbase connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Demandbase and Google Cloud SQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Demandbase ⇄ Google Cloud SQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Demandbase Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Demandbase and Google Cloud SQL integration FAQ

SECURITY

Security teams trust 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.

Learn more about security
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ISO 27001
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 395 integrations available for Demandbase and Google Cloud SQL.

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