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Data warehouse ⇄ CRM

Materialize to Vitally integration — real-time, two-way sync

Keep Materialize and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Materialize and Vitally

Sync Vitally into Materialize continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. NPS Response, Custom Trait, Account, User from Vitally land in Materialize as live tables, updated within seconds, and columns computed in Materialize write back to fields in Vitally. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 02 Sync account health scores and lifecycle stages from Vitally into a CRM so sales sees churn risk before renewals.
  • 03 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
  • 04 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.

Common sync patterns

A single customer view

Join Vitally's relationship data with billing, product, and support data in Materialize to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Materialize can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Vitally are queryable in Materialize moments after they change, so dashboards stop lagging the reality they describe.

What you can sync between Materialize and Vitally

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 Vitally objects How this pairing syncs
Clusters Compute pools that isolate ingestion, view maintenance, and serving. NPS Response NPS survey responses for account-health reporting. Clusters is specific to Materialize and NPS Response to Vitally — each maps to any object or custom field on the other side.
Connections & Secrets Stored credentials and endpoints used by sources and sinks. Custom Trait Custom account and user traits for segmentation. Connections & Secrets is specific to Materialize and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Schemas & Databases Namespaces that organize objects a sync targets. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Schemas & Databases is specific to Materialize and Account to Vitally — each maps to any object or custom field on the other side.
Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. User End users tied to accounts, including activity and custom traits. Tables is specific to Materialize and User to Vitally — 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. Organization Parent organizations for hierarchical B2B account structures. Sources is specific to Materialize and Organization to Vitally — 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. Task CS tasks and follow-ups, readable and writable for workflow sync. Materialized Views is specific to Materialize and Task to Vitally — each maps to any object or custom field on the other side.

How changes propagate between Materialize and Vitally

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.

Materialize Vitally Sub-second propagation

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 Vitally through its API, with automatic retries and rate-limit backoff.

Vitally Materialize Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Materialize ⇄ Vitally

Connect Materialize and Vitally for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Vitally connection.

Real-time

Two-way sync

Changes in Materialize or Vitally instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Materialize or Vitally data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Materialize or Vitally record.

Observability

Monitoring

Track your Materialize ⇄ Vitally sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Materialize and Vitally.

How the Materialize and Vitally connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect Materialize to Vitally — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Materialize and Vitally with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Materialize connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Materialize and Vitally 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Materialize ⇄ Vitally
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Materialize Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Materialize and Vitally integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for Materialize and Vitally.

Popular · 8 of 390
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