Two-way sync
Changes in Google AlloyDB or Marketo instantly reflect in both systems. No stale data, no manual imports.
Keep Google AlloyDB 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.
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 Google AlloyDB, hard to get into campaigns without manual exports.
Stacksync mirrors Opportunities and Opportunity Roles, Custom Objects, Activities and Lead Changes, Static Lists from Marketo into Sequences, Replication Slots, Databases, Schemas in Google AlloyDB 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 AlloyDB, 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.
Segments computed in Google AlloyDB from product usage, orders, or account status sync into Marketo as lists or audiences, so campaigns and ads target the people your data says they should.
Opens, clicks, sends, RSVPs, or ad activity from Marketo land in Google AlloyDB beside the matching customer record, ready for reporting and revenue attribution.
A new lead, form fill, or list change in Marketo arrives as a row change in Google AlloyDB, so scoring, jobs, and notifications run in the tooling your team already uses.
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.
| Google AlloyDB objects | Marketo objects | How this pairing syncs | |
|---|---|---|---|
| Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | 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. | Databases is specific to Google AlloyDB and Leads to Marketo — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to separate synced SaaS data from application tables. | 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. | Schemas is specific to Google AlloyDB and Companies to Marketo — each maps to any object or custom field on the other side. | |
| Tables Primary read/write target for bi-directional sync with CRMs and other systems. | 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. | Tables is specific to Google AlloyDB and Opportunities and Opportunity Roles to Marketo — each maps to any object or custom field on the other side. | |
| Views Curated projections used as read-only sync 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. | Views is specific to Google AlloyDB and Custom Objects to Marketo — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | 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. | Materialized Views is specific to Google AlloyDB and Activities and Lead Changes to Marketo — each maps to any object or custom field on the other side. | |
| Indexes Keep sync key lookups fast on high-volume tables. | 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. | Indexes is specific to Google AlloyDB and Static Lists to Marketo — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to Marketo through its API, with automatic retries and rate-limit backoff.
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 Google AlloyDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google AlloyDB–Marketo connection.
Changes in Google AlloyDB or Marketo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google AlloyDB or Marketo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google AlloyDB or Marketo record.
Track your Google AlloyDB ⇄ Marketo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google AlloyDB and Marketo.
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.
Authenticate Google AlloyDB 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.
Pick the Google AlloyDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google AlloyDB and Marketo: authenticate both systems, choose the objects to sync (such as Google AlloyDB's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. On Marketo: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google AlloyDB side: Sequences, Replication Slots, Databases, Schemas, plus custom fields where Google AlloyDB exposes them. On the Marketo side: Opportunities and Opportunity Roles, Custom Objects, Activities and Lead Changes, Static Lists. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Google AlloyDB and Marketo: Build audiences from your own data; Engagement and results next to the customer; React to marketing changes as row changes. Segments computed in Google AlloyDB from product usage, orders, or account status sync into Marketo as lists or audiences, so campaigns and ads target the people your data says they should.
Google AlloyDB: SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP. Authentication: Database credentials or IAM database authentication. Marketo: 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). Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 407 integrations available for Google AlloyDB and Marketo.