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Database ⇄ Marketing

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

Keep Amazon Aurora and Marketo 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 Amazon Aurora and Marketo

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

Marketo 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 Activities and Lead Changes, Static Lists, Programs and Program Members, Smart Campaigns from Marketo into Tables, Views, Materialized Views, Columns and Data Types 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 Marketo to drive campaigns and ads, with Marketo 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 Add or remove Leads on Static Lists or set Program Member status from lifecycle stage computed downstream, then run a trigger Smart Campaign against them.
  • 04 Sync Opportunities and Opportunity Roles into Marketo so revenue and pipeline data can drive account-aware nurture and reporting.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Marketo 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 Marketo 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 Marketo

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 Marketo objects How this pairing syncs
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Leads Core person records (called Leads/People), deduped on email address by default or a configured dedupe field; read via GET /rest/v1/leads.json with a filterType, upserted via POST /rest/v1/leads.json (action createOrUpdate/createOnly/updateOnly), bulk-imported via CSV through POST /bulk/v1/leads.json, and bulk-exported via /bulk/v1/leads/export/create.json. Schemas is specific to Amazon Aurora and Leads to Marketo — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Companies Company records linked to Leads via a company link field; read and upserted through /rest/v1/companies.json, typically mastered in a CRM or ERP and written into Marketo for account context. Tables is specific to Amazon Aurora and Companies to Marketo — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Opportunities and Opportunity Roles Revenue objects synced via /rest/v1/opportunities.json and /rest/v1/opportunities/roles.json; roles associate an opportunity with a Lead, so pipeline data can drive nurture and scoring. Views is specific to Amazon Aurora and Opportunities and Opportunity Roles to Marketo — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Custom Objects Auxiliary data tables described via /rest/v1/customobjects.json and read/written via /rest/v1/customobjects/{apiName}.json, linked to Leads by a dedupe/link field so campaigns branch on records like purchases or subscriptions. Materialized Views is specific to Amazon Aurora and Custom Objects to Marketo — 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. Activities and Lead Changes Engagement feed (opens, clicks, form fills, Data Value Changes) read via GET /rest/v1/activities.json using a paging token from /rest/v1/activities/pagingtoken.json (sinceDatetime), plus Get Lead Changes and Get Deleted Leads; read-only, also available via async Bulk Activity Extract. Columns and Data Types is specific to Amazon Aurora and Activities and Lead Changes to Marketo — 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. Static Lists Named static lists; read via /rest/v1/lists.json, with Leads added or removed via POST and DELETE on /rest/v1/lists/{listId}/leads.json to control campaign membership from lifecycle logic computed downstream. Primary and Foreign Keys is specific to Amazon Aurora and Static Lists to Marketo — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Marketo

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 Marketo 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 Marketo through its API, with automatic retries and rate-limit backoff.

Marketo Amazon Aurora Interval-based propagation

DetectionStacksync polls Marketo for changes on an incremental schedule, reading only records changed since the previous pass. Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on.

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.
  • Marketo: Interactive calls are capped at 100 per 20 seconds (error 606) and a maximum of 10 concurrent calls (error 615) per instance, neither increasable; a default daily quota of 50,000 calls (increasable, resets midnight CST) applies. Bulk Extract shares a 500 MB/day export quota across data types with at most 2 concurrent jobs and 10 queued.
What ships with Amazon Aurora ⇄ Marketo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Marketo 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 Marketo record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Marketo 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 Marketo.

How the Amazon Aurora and Marketo 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

Marketo

Integration surface
Marketo REST API (JSON over HTTPS) for Leads, Companies, Opportunities, Custom Objects, Activities, Lists, Programs, and Campaigns, plus an asynchronous Bulk Import (leads) and Bulk Extract (leads/activities/program members/custom objects) API and an Asset REST API for emails, forms, and landing pages
Authentication
OAuth 2.0 client_credentials (2-legged): GET the Identity URL /oauth/token?grant_type=client_credentials with a Custom Service client_id and client_secret to receive an access token valid for 3600 seconds, then send it as Authorization: Bearer on each call. The instance base URL is https://{munchkinId}.mktorest.com; passing the token as an access_token query parameter is deprecated (removal July 31, 2026).
Change detection
Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on createdAt/updatedAt. Marketo's Webhooks are Smart Campaign flow-step outbound HTTP calls to a URL, not a general record-change subscription, so there is no push feed of arbitrary CRUD.
Capabilities
read · write
Rate limits
Interactive calls are capped at 100 per 20 seconds (error 606) and a maximum of 10 concurrent calls (error 615) per instance, neither increasable; a default daily quota of 50,000 calls (increasable, resets midnight CST) applies. Bulk Extract shares a 500 MB/day export quota across data types with at most 2 concurrent jobs and 10 queued.
How it works

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

    Choose tables

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

Amazon Aurora and Marketo 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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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 Marketo.

Popular · 8 of 394
All Amazon Aurora integrations All Marketo integrations Browse all integrations
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