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Database ⇄ Marketing

Amazon Aurora to Demandbase integration — real-time, two-way sync

Keep Amazon Aurora and Demandbase 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Aurora and Demandbase

Give your team Demandbase's contacts, campaigns, and engagement in Amazon Aurora: 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 Amazon Aurora, hard to get into campaigns without manual exports.

Stacksync mirrors People (Persons), Activities, Campaigns, Account & Person Lists (Audiences) from Demandbase into Views, Materialized Views, Columns and Data Types, Primary and Foreign Keys in Amazon Aurora 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 Amazon Aurora, 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 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 03 Push warehouse-computed account scores, custom fields, and audiences into Demandbase via the Data Import API so ABM campaigns and sales plays target the segments the warehouse defines.
  • 04 Enrich CRM Company and Contact records with Demandbase firmographics, technographics, and verified business emails through the B2B Company and Contact Details endpoints.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Demandbase land in Amazon Aurora beside the matching customer record, ready for reporting and revenue attribution.

React to marketing changes as row changes

A new lead, form fill, or list change in Demandbase arrives as a row change in Amazon Aurora, 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.

What you can sync between Amazon Aurora and Demandbase

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.

Amazon Aurora objects Demandbase objects How this pairing syncs
Tables Relational tables synced bi-directionally at row level. 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. Tables is specific to Amazon Aurora and Account & Person Lists (Audiences) to Demandbase — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. 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. Views is specific to Amazon Aurora and Company Details (B2B enrichment) to Demandbase — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. 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. Materialized Views is specific to Amazon Aurora and Change Subscriptions to Demandbase — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. 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. Columns and Data Types is specific to Amazon Aurora and Accounts to Demandbase — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. 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. Primary and Foreign Keys is specific to Amazon Aurora and Opportunities to Demandbase — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. People (Persons) Contact/person records with verified business email, title, seniority, and quality grades; fetched and matched via the B2B Contact endpoints and exported or imported. Read Replicas is specific to Amazon Aurora and People (Persons) to Demandbase — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Demandbase

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.

Amazon Aurora Demandbase Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Demandbase Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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.
What ships with Amazon Aurora ⇄ Demandbase

Connect Amazon Aurora and Demandbase for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Demandbase connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Demandbase instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Demandbase 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 Amazon Aurora or Demandbase record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Demandbase sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Demandbase.

How the Amazon Aurora and Demandbase connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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.
How it works

How to connect Amazon Aurora to Demandbase — 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 Amazon Aurora and Demandbase 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
    Amazon Aurora connected
    Demandbase connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Demandbase 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 · Amazon Aurora ⇄ Demandbase
    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
    Amazon Aurora Demandbase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Demandbase 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.

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→ 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 394 integrations available for Amazon Aurora and Demandbase.

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