Real-time
Real-time sync
Changes in Aviato or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Aviato to PostgreSQL integration — real-time data sync
Keep Aviato and PostgreSQL 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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Migrated from Celigo
Why teams connect Aviato and PostgreSQL
Mirror Aviato's data into PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Aviato is a read-only source: Stacksync reads its data in real time and delivers it into PostgreSQL, so PostgreSQL always reflects the current state of Aviato — without exports, scripts, or schedulers.
Engineers integrate with tools like Aviato through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in PostgreSQL.
Stacksync mirrors Acquisition / Exit Event, Company, Person, Funding Round from Aviato into Sequences, Custom Types and Enums, Tables, Views in PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Aviato, so the tool and the database never disagree.
Common use cases
- Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
- Feed lead-scoring models with growth signals (funding recency, headcount trajectory) pulled from Aviato
- Consolidate data from several microservice databases into one operational Postgres store
- Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
React to changes as they happen
Updates in Aviato arrive as row changes in PostgreSQL, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Aviato with a query
Records from Aviato are ordinary rows in PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Aviato and PostgreSQL
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 | PostgreSQL objects | |
|---|---|---|
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Company Private-company profiles with firmographics, sector tags, and status | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | |
| Person Founder and employee profiles linked to current and past companies | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Funding Round Round-level records with stage, amount, date, and participating investors | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Investor Funds and angels connected to the rounds and companies they back | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Schemas Namespaces that scope which tables a sync reads and writes. |
What ships with Aviato ⇄ PostgreSQL
Connect Aviato and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Aviato ⇄ PostgreSQL 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 PostgreSQL.
How the Aviato and PostgreSQL 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
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Aviato to PostgreSQL — 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.
- 01
Connect your apps
Authenticate Aviato and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Aviato
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and PostgreSQL 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.
objects · Aviato ⇄ PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Aviato PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and PostgreSQL — 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.
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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 PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aviato and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aviato–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Aviato and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Aviato side: Acquisition / Exit Event, Company, Person, Funding Round, plus custom fields where Aviato exposes them. On the PostgreSQL side: Sequences, Custom Types and Enums, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams love 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 386 integrations available for Aviato and PostgreSQL.
Popular · 8 of 386
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Aviato ⇄ Apache Cassandra -
Aviato ⇄ Azure Cosmos DB -
Aviato ⇄ Azure SQL Database -
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PostgreSQL ⇄ Microsoft Dynamics 365 -
PostgreSQL ⇄ Microsoft Teams -
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PostgreSQL ⇄ Orderful
No integrations match .
