Two-way sync
Changes in Marketo or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Marketo and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Snowflake is where your team models customers, product usage, and revenue into trusted tables; Marketo runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.
Stacksync syncs Views, Materialized Views, Streams, Stages in Snowflake with Static Lists, Programs and Program Members, Smart Campaigns, Leads in Marketo field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Marketo while sends, opens, and conversions flow back to Snowflake — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and Snowflake holds the current state for auditing.
Product-usage counts, plan tier, region, or account owner computed in Snowflake appear on the matching record in Marketo, so targeting, routing, and personalization use up-to-date context.
A segment or score built in Snowflake — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Marketo, so campaigns target the people your data actually points to instead of a static export.
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 | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Custom Objects is specific to Marketo and Virtual Warehouses to Snowflake — 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. | Databases Top-level containers that scope which data a sync can touch. | Activities and Lead Changes is specific to Marketo and Databases to Snowflake — 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. | Schemas Namespaces within a database used to organize synced tables. | Static Lists is specific to Marketo and Schemas to Snowflake — each maps to any object or custom field on the other side. | |
| Programs and Program Members Marketing programs read via /rest/v1/programs.json; program membership and member status managed via /rest/v1/leads/programs/{programId}.json and the program status endpoint for acquisition and attribution reporting. | Tables The main landing and activation target for synced records. | Programs and Program Members is specific to Marketo and Tables to Snowflake — each maps to any object or custom field on the other side. | |
| Smart Campaigns Automation flows read via /rest/v1/campaigns.json and run against a set of Leads by requesting a trigger campaign with POST /rest/v1/campaigns/{id}/trigger.json, so downstream logic can push Leads into a Marketo flow. | Views Modeled projections used as the source side of outbound syncs. | Smart Campaigns is specific to Marketo and Views to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed results synced outward for low-latency reads. | Leads is specific to Marketo and Materialized Views to Snowflake — 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 Snowflake as a row-level write, with types converted between the two schemas.
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
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–Snowflake connection.
Changes in Marketo or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Marketo or Snowflake 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 Snowflake record.
Track your Marketo ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Marketo and Snowflake.
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 Snowflake 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 Snowflake 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 Snowflake: authenticate both systems, choose the objects to sync (such as Marketo's Custom Objects and Activities and Lead Changes), 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 Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Marketo and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Marketo–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Marketo and Snowflake. 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 Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Snowflake side: Views, Materialized Views, Streams, Stages, plus custom fields where Snowflake exposes them. On the Marketo side: Static Lists, Programs and Program Members, Smart Campaigns, Leads. 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 507 integrations available for Marketo and Snowflake.