Real-time sync
Changes in Aviato or Materialize instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Records and events from Aviato land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Aviato's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Materialize sync back onto records in Aviato, putting analysis where the work happens.
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 | |
|---|---|---|
| Employment Record Person-to-company links with role and tenure that model team movement | Clusters Compute pools that isolate ingestion, view maintenance, and serving. | |
| 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. | |
| Company Private-company profiles with firmographics, sector tags, and status | Schemas & Databases Namespaces that organize objects a sync targets. | |
| Person Founder and employee profiles linked to current and past companies | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | |
| 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. | |
| 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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–Materialize connection.
Changes in Aviato or Materialize instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aviato or Materialize data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Aviato or Materialize record.
Track your Aviato ⇄ Materialize sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aviato and Materialize.
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 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.
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.
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 integration between Aviato and Materialize — Aviato is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate 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 Aviato and Materialize records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aviato and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aviato–Materialize integration in-house.
Yes — Stacksync ships production-grade connectors for both Aviato and Materialize. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Aviato: Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed. On Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aviato side: Employment Record, Acquisition / Exit Event, Company, Person, plus custom fields where Aviato exposes them. On the Materialize side: Sources, Materialized Views, Sinks, Indexes. 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 386 integrations available for Aviato and Materialize.