Real-time
Real-time sync
Changes in Aviato or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Aviato to AWS Aurora PostgreSQL integration — real-time data sync
Keep Aviato and AWS Aurora 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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Why teams connect Aviato and AWS Aurora PostgreSQL
Mirror Aviato's data into AWS Aurora 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 AWS Aurora PostgreSQL, so AWS Aurora 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 AWS Aurora PostgreSQL.
Stacksync mirrors Funding Round, Investor, Headcount Snapshot, Employment Record from Aviato into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora 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
- Keep a warehouse table of tracked private companies refreshed on a schedule for downstream scoring and reporting
- Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Feed operational dashboards from a read replica while the writer handles sync traffic.
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 AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Automate Aviato from your codebase
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Aviato, replacing custom integration code.
What you can sync between Aviato and AWS Aurora 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 | AWS Aurora PostgreSQL objects | |
|---|---|---|
| Investor Funds and angels connected to the rounds and companies they back | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | |
| Employment Record Person-to-company links with role and tenure that model team movement | Replication slots and publications The logical replication objects that power log-based CDC. | |
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | |
| Company Private-company profiles with firmographics, sector tags, and status | Tables The core sync unit; rows are matched across systems by primary key. | |
| Person Founder and employee profiles linked to current and past companies | Rows Inserted, updated, and deleted in both directions during bi-directional syncs. |
What ships with Aviato ⇄ AWS Aurora PostgreSQL
Connect Aviato and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or AWS Aurora 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 AWS Aurora PostgreSQL record.
Observability
Monitoring
Track your Aviato ⇄ AWS Aurora 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 AWS Aurora PostgreSQL.
How the Aviato and AWS Aurora 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
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Aviato to AWS Aurora 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 AWS Aurora 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
AWS Aurora PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and AWS Aurora 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 ⇄ AWS Aurora 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 AWS Aurora PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and AWS Aurora PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Aviato and AWS Aurora 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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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 AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. 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: Funding Round, Investor, Headcount Snapshot, Employment Record, plus custom fields where Aviato exposes them. On the AWS Aurora PostgreSQL side: Replication slots and publications, Databases and schemas, Tables, Rows. Stacksync auto-detects both schemas and converts types between the two systems.
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Aviato is a read-only source, so this integration runs one-way: Stacksync reads from Aviato in real time and delivers into AWS Aurora PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
-
Common patterns for Aviato and AWS Aurora PostgreSQL: One integration pattern for the whole stack; Read Aviato with a query; Automate Aviato from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
Aviato: REST API returning JSON, with search/filter endpoints for querying company and people records. Authentication: API key passed on each request. AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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 AWS Aurora PostgreSQL.
Popular · 8 of 386
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Aviato ⇄ Citus -
Aviato ⇄ Couchbase -
Aviato ⇄ DuckDB -
Aviato ⇄ Elasticsearch -
AWS Aurora PostgreSQL ⇄ Amazon Seller Central -
AWS Aurora PostgreSQL ⇄ SendGrid -
AWS Aurora PostgreSQL ⇄ Twilio -
AWS Aurora PostgreSQL ⇄ GitHub
No integrations match .
