Two-way sync
Changes in Materialize or Resend instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize and Resend in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Resend is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Email events, API keys, Emails, Contacts from Resend into tables in Materialize continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Materialize can also be written back into fields in Resend where the tool can use them.
Segments, scores, or reference values computed in Materialize sync back onto records in Resend, putting analysis where the work happens.
A continuously synced copy in Materialize preserves a queryable record even as data ages out of Resend or gets changed inside it.
Records and events from Resend land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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.
| Materialize objects | Resend objects | How this pairing syncs | |
|---|---|---|---|
| Schemas & Databases Namespaces that organize objects a sync targets. | Email events Delivered, bounced, complained, opened, and clicked events emitted via webhooks and written back to source systems. | Schemas & Databases is specific to Materialize and Email events to Resend — each maps to any object or custom field on the other side. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | API keys Scoped credentials managed per environment for send and read access. | Tables is specific to Materialize and API keys to Resend — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Emails Sent messages retrievable by ID with current delivery status. | Sources is specific to Materialize and Emails to Resend — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Contacts Recipient records with email, name, and subscription state, synced from CRMs or databases. | Materialized Views is specific to Materialize and Contacts to Resend — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Audiences Named contact lists that broadcasts target; typically mirrored from CRM segments. | Sinks is specific to Materialize and Audiences to Resend — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Broadcasts One-to-many campaign sends addressed to an audience. | Indexes is specific to Materialize and Broadcasts to Resend — 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 Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to Resend through its API, with automatic retries and rate-limit backoff.
DetectionResend notifies Stacksync of record changes through webhook events. Webhooks for email lifecycle events.
DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Resend connection.
Changes in Materialize or Resend instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize or Resend data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Materialize or Resend record.
Track your Materialize ⇄ Resend sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize and Resend.
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 Materialize and Resend 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 Materialize and Resend 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 Materialize and Resend: authenticate both systems, choose the objects to sync (such as Materialize's Schemas & Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and Resend connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Resend integration in-house.
Yes — Stacksync ships production-grade connectors for both Materialize and Resend. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. On Resend: Webhooks for email lifecycle events; polling for contact and audience state. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Resend side: Email events, API keys, Emails, Contacts, plus custom fields where Resend exposes them. On the Materialize side: Clusters, Connections & Secrets, Schemas & Databases, Tables. 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.
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 328 integrations available for Materialize and Resend.