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Business productivity ⇄ Data warehouse

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

Keep Front and Materialize 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

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Why teams connect Front and Materialize

Get the data locked inside Front into Materialize as live tables, and send results back where Front can use them, without writing a pipeline.

Whatever Front 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 Teammates, Channels, Conversations, Messages from Front 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 Front where the tool can use them.

Common use cases

  • 01 Mirror conversations tagged for escalation into engineering trackers through the synced database.
  • 02 Feed CSAT and SLA reporting from synced conversation events rather than manual exports.
  • 03 Read computed view results back into a CRM or application database as derived fields.
  • 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

Common sync patterns

Cross-tool reporting

Combine Front's data with data from every other synced system to answer questions no single tool can.

Where Front accepts updates: operational write-back

Segments, scores, or reference values computed in Materialize sync back onto records in Front, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Materialize preserves a queryable record even as data ages out of Front or gets changed inside it.

What you can sync between Front and Materialize

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.

Front objects Materialize objects How this pairing syncs
Inboxes Shared queues that conversations live in; used to segment reporting by team or channel. Schemas & Databases Namespaces that organize objects a sync targets. Inboxes is specific to Front and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.
Tags Labels applied to conversations; drive routing and category-level analytics. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Tags is specific to Front and Tables to Materialize — each maps to any object or custom field on the other side.
Teammates Agents; used for ownership mapping and workload reporting. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Teammates is specific to Front and Sources to Materialize — each maps to any object or custom field on the other side.
Channels Connected addresses (email, SMS, chat); define where messages originate and send from. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Channels is specific to Front and Materialized Views to Materialize — each maps to any object or custom field on the other side.
Conversations The central threaded unit that messages, comments, and tags attach to; synced for support analytics. Sinks Outbound connections that emit view changes to Kafka topics. Conversations is specific to Front and Sinks to Materialize — each maps to any object or custom field on the other side.
Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting. Indexes In-memory arrangements that make view reads fast for serving workloads. Messages is specific to Front and Indexes to Materialize — each maps to any object or custom field on the other side.

How changes propagate between Front and Materialize

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.

Front Materialize Sub-second propagation

DetectionFront notifies Stacksync of record changes through webhook events. Application webhooks and rule-triggered webhooks, with the events endpoint available for polling.

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

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

Rate-limit considerations

  • Front: Request limits vary by plan.
What ships with Front ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Front or Materialize 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 Front or Materialize record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Front and Materialize connectors work

Front

Integration surface
REST API (Core API)
Authentication
OAuth authorization via the Stacksync UI ("Connections" > "create new connection" > "Front" > "Authorize") — no coding required
Change detection
Application webhooks and rule-triggered webhooks, with the events endpoint available for polling
Capabilities
read · write · webhooks
Rate limits
Request limits vary by plan.
Front setup guide

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
How it works

How to connect Front to Materialize — 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 Front and Materialize 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
    Front connected
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Front and Materialize 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 · Front ⇄ Materialize
    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
    Front Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Front and Materialize 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
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 420 integrations available for Front and Materialize.

Popular · 8 of 420
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