Two-way sync
Changes in Marketo or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Keep Marketo and Oracle DB 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 Oracle DB, hard to get into campaigns without manual exports.
Stacksync mirrors Companies, Opportunities and Opportunity Roles, Custom Objects, Activities and Lead Changes from Marketo into Partitions, JSON columns, Tables, Views in Oracle DB 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 Oracle DB, 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.
Opens, clicks, sends, RSVPs, or ad activity from Marketo land in Oracle DB 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 Oracle DB, so scoring, jobs, and notifications run in the tooling your team already uses.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
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.
| Marketo objects | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Sequences Key generators to respect when external systems insert rows | Leads is specific to Marketo and Sequences to Oracle DB — each maps to any object or custom field on the other side. | |
| 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. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Companies is specific to Marketo and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side. | |
| 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. | Partitions Physical subdivisions relevant when replicating high-volume tables | Opportunities and Opportunity Roles is specific to Marketo and Partitions to Oracle DB — each maps to any object or custom field on the other side. | |
| 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. | JSON columns Document data stored in the converged engine and synced alongside relational rows | Custom Objects is specific to Marketo and JSON columns to Oracle DB — each maps to any object or custom field on the other side. | |
| 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. | Tables The primary read/write surface for row-level sync over SQL | Activities and Lead Changes is specific to Marketo and Tables to Oracle DB — each maps to any object or custom field on the other side. | |
| 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. | Views Curated read-only projections exposed to downstream consumers | Static Lists is specific to Marketo and Views to Oracle DB — 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.
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 Oracle DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is written to Marketo through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Marketo–Oracle DB connection.
Changes in Marketo or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Marketo or Oracle DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Marketo or Oracle DB record.
Track your Marketo ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Marketo and Oracle DB.
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 Marketo and Oracle DB 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 Marketo and Oracle DB 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 Marketo and Oracle DB: authenticate both systems, choose the objects to sync (such as Marketo's Leads and Companies), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Marketo and Oracle DB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Marketo and Oracle DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Marketo–Oracle DB integration in-house.
Yes — Stacksync ships production-grade connectors for both Marketo and Oracle DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Oracle DB side: Partitions, JSON columns, Tables, Views, plus custom fields where Oracle DB exposes them. On the Marketo side: Companies, Opportunities and Opportunity Roles, Custom Objects, Activities and Lead Changes. Stacksync auto-detects both schemas and converts types between the two systems.
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 418 integrations available for Marketo and Oracle DB.