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Business productivity ⇄ Data warehouse

Aviato to Materialize integration — real-time data sync

Keep Aviato 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 Aviato and Materialize

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

Aviato is a read-only source: Stacksync reads its data in real time and delivers it into Materialize, so Materialize always reflects the current state of Aviato — without exports, scripts, or schedulers.

Whatever Aviato 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.

Common use cases

  • 01 Backfill missing firmographic fields on inbound leads by matching them to Aviato company profiles
  • 02 Enrich CRM accounts with Aviato firmographic data (sector, stage, headcount) so reps see current company context without manual research
  • 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

Analytics on Aviato's data

Records and events from Aviato land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

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

Where Aviato accepts updates: operational write-back

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

What you can sync between Aviato 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.

Aviato objects Materialize objects How this pairing syncs
Employment Record Person-to-company links with role and tenure that model team movement Clusters Compute pools that isolate ingestion, view maintenance, and serving. Employment Record is specific to Aviato and Clusters to Materialize — each maps to any object or custom field on the other side.
Acquisition / Exit Event M&A and exit records tied to the acquired company profile Connections & Secrets Stored credentials and endpoints used by sources and sinks. Acquisition / Exit Event is specific to Aviato and Connections & Secrets to Materialize — each maps to any object or custom field on the other side.
Company Private-company profiles with firmographics, sector tags, and status Schemas & Databases Namespaces that organize objects a sync targets. Company is specific to Aviato and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.
Person Founder and employee profiles linked to current and past companies Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Person is specific to Aviato and Tables to Materialize — each maps to any object or custom field on the other side.
Funding Round Round-level records with stage, amount, date, and participating investors Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Funding Round is specific to Aviato and Sources to Materialize — each maps to any object or custom field on the other side.
Investor Funds and angels connected to the rounds and companies they back Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Investor is specific to Aviato and Materialized Views to Materialize — each maps to any object or custom field on the other side.

How changes propagate between Aviato 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.

Aviato Materialize Interval-based propagation

DetectionStacksync polls Aviato for changes on an incremental schedule, reading only records changed since the previous pass. Polling-based: re-query tracked records on a schedule and diff against the last synced state.

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

Materialize Aviato 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.

DeliveryAviato does not accept inbound record writes, so this direction carries requests rather than records: Aviato's output flows back as field updates on the originating Materialize records.

Rate-limit considerations

  • Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
What ships with Aviato ⇄ Materialize

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aviato 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 Aviato or Materialize record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Aviato and Materialize connectors work

Aviato

Integration surface
REST API returning JSON, with search/filter endpoints for querying company and people records
Authentication
API key passed on each request
Change detection
Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed
Capabilities
read
Rate limits
Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls

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

    Choose tables

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

Aviato 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 217 integrations available for Aviato and Materialize.

Popular · 5 of 217
All Aviato integrations All Materialize integrations Browse all integrations
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