Real-time
Two-way sync
Changes in Postgres Heroku or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Postgres Heroku to Sysaid integration — real-time, two-way sync
Keep Postgres Heroku and Sysaid 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Sysaid
Mirror Sysaid'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.
Engineers integrate with tools like Sysaid 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 Users, Assets, Configuration Items (CIs), Companies from Sysaid into Sequences, Follower Databases, Tables, Views 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 Sysaid, so the tool and the database never disagree.
Common use cases
- 01 Stream Service Records into a warehouse for SLA, backlog, and MTTR reporting without manual CSV exports.
- 02 Two-way sync Incidents and Service Requests with a Postgres database so on-call and internal apps read and update tickets in SQL while agents keep working in SysAid.
- 03 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 04 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Common sync patterns
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 Sysaid with a query
Records from Sysaid are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
Automate Sysaid from your codebase
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Sysaid, replacing custom integration code.
What you can sync between Postgres Heroku and Sysaid
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.
| Postgres Heroku objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Follower Databases is specific to Postgres Heroku and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Tables is specific to Postgres Heroku and Service Requests to Sysaid — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. | Views is specific to Postgres Heroku and Problems to Sysaid — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. | Materialized Views is specific to Postgres Heroku and Changes to Sysaid — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. | Schemas is specific to Postgres Heroku and Users to Sysaid — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. | Primary and Unique Keys is specific to Postgres Heroku and Assets to Sysaid — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and Sysaid
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.
Postgres Heroku Sysaid 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.
DeliveryEach detected change is written to Sysaid through its API, with automatic retries and rate-limit backoff.
Sysaid Postgres Heroku Sub-second propagation
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- Sysaid: Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
What ships with Postgres Heroku ⇄ Sysaid
Connect Postgres Heroku and Sysaid for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Sysaid connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Sysaid 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 Postgres Heroku or Sysaid record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Sysaid.
How the Postgres Heroku and Sysaid connectors work
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
Sysaid
- Integration surface
- REST API (JSON)
- Authentication
- Client-credentials app keys: an application key (clientId/clientSecret) is created via /v1/application-keys, then exchanged at /v1/access-tokens for a bearer token (default 24h, up to 30 days); an x-sysaid-accountid header scopes the account. Legacy V0 uses session-cookie login.
- Change detection
- Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte.
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
How it works
How to connect Postgres Heroku to Sysaid — 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 Postgres Heroku and Sysaid with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Postgres Heroku
connected
Sysaid
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and Sysaid 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 · Postgres Heroku ⇄ SysaidCustomers 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.
Postgres Heroku SysaidCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Sysaid integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Sysaid: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Sysaid: The v1 API authenticates with client-credentials app keys, and each organization is limited to 100 application keys, so an integration should reuse a single key. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Postgres Heroku and Sysaid without custom code.
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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 Postgres Heroku and Sysaid 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 Postgres Heroku and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Sysaid integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Sysaid. 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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 453 integrations available for Postgres Heroku and Sysaid.
Popular · 7 of 453
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Postgres Heroku ⇄ ConnectWise -
Postgres Heroku ⇄ Customer.io -
Postgres Heroku ⇄ eClinicalWorks -
Sysaid ⇄ Elasticsearch -
Sysaid ⇄ Google Cloud Spanner - Sysaid ⇄ Google Cloud SQL
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Sysaid ⇄ IBM AS/400
No integrations match .
