Two-way sync
Changes in Amazon Redshift or Marketo instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Amazon Redshift 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 Schemas, Tables, Views, Materialized Views in Amazon Redshift with Opportunities and Opportunity Roles, Custom Objects, Activities and Lead Changes, Static Lists 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 Amazon Redshift — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
New and updated contacts, leads, or audience members flow between Amazon Redshift and Marketo, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.
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 Amazon Redshift holds the current state for auditing.
Product-usage counts, plan tier, region, or account owner computed in Amazon Redshift appear on the matching record in Marketo, so targeting, routing, and personalization use up-to-date context.
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 Redshift objects | Marketo objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers within a cluster or serverless workgroup. | 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 is specific to Amazon Redshift and Activities and Lead Changes to Marketo — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | 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 is specific to Amazon Redshift and Static Lists to Marketo — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | 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 is specific to Amazon Redshift and Programs and Program Members to Marketo — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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 is specific to Amazon Redshift and Smart Campaigns to Marketo — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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 is specific to Amazon Redshift and Leads to Marketo — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Companies 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Marketo connection.
Changes in Amazon Redshift or Marketo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Marketo record.
Track your Amazon Redshift ⇄ Marketo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Marketo: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Databases and Schemas), 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 Amazon Redshift and Marketo records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Redshift and Marketo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Marketo integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and Marketo. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. 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 Amazon Redshift side: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Redshift 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.
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 502 integrations available for Amazon Redshift and Marketo.