Real-time
Real-time sync
Changes in Aviato or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Aviato to Postgres Heroku integration — real-time data sync
Keep Aviato and Postgres Heroku 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Aviato and Postgres Heroku
Mirror Aviato's data into Postgres Heroku 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 Postgres Heroku, so Postgres Heroku 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 Postgres Heroku.
Stacksync mirrors Investor, Headcount Snapshot, Employment Record, Acquisition / Exit Event from Aviato into JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku 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
- 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 Keep several Heroku app databases aligned with one system of record
- 04 Reflect billing and subscription records into the app database so product logic reads local rows
Common sync patterns
React to changes as they happen
Updates in Aviato arrive as row changes in Postgres Heroku, 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 Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Aviato and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Materialized Views Precomputed result sets synced outward on refresh. | Headcount Snapshot is specific to Aviato and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Employment Record Person-to-company links with role and tenure that model team movement | Schemas Namespaces that scope which tables a sync reads and writes. | Employment Record is specific to Aviato and Schemas to Postgres Heroku — 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 | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Acquisition / Exit Event is specific to Aviato and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Company Private-company profiles with firmographics, sector tags, and status | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Company is specific to Aviato and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Person Founder and employee profiles linked to current and past companies | Sequences Generate surrogate keys for rows created by inbound syncs. | Person is specific to Aviato and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Funding Round Round-level records with stage, amount, date, and participating investors | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Funding Round is specific to Aviato and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Aviato and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Aviato Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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 Postgres Heroku records.
Rate-limit considerations
- Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Aviato ⇄ Postgres Heroku
Connect Aviato and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Aviato ⇄ Postgres Heroku 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 Postgres Heroku.
How the Aviato and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Aviato to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and Postgres Heroku — 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 Postgres Heroku 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 Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aviato–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Aviato and Postgres Heroku. 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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: Investor, Headcount Snapshot, Employment Record, Acquisition / Exit Event, plus custom fields where Aviato exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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
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No integrations match .
