Two-way sync
Changes in Postgres Heroku or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku and SAP ASE (Sybase) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Postgres Heroku and SAP ASE (Sybase) continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Keep the same dataset live in both Postgres Heroku and SAP ASE (Sybase), so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 | SAP ASE (Sybase) objects | |
|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Databases and Schemas Namespaces that scope sync configuration and permissions. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | Tables The core sync unit; rows are read and written with standard SQL. | |
| Views Read-side projections exposed to outbound syncs. | Views Read-only projections used to shape data for extraction without touching base tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–SAP ASE (Sybase) connection.
Changes in Postgres Heroku or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku or SAP ASE (Sybase) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Postgres Heroku or SAP ASE (Sybase) record.
Track your Postgres Heroku ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and SAP ASE (Sybase).
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 Postgres Heroku and SAP ASE (Sybase) 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 Postgres Heroku and SAP ASE (Sybase) 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 two-way integration between Postgres Heroku and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Postgres Heroku's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and SAP ASE (Sybase) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–SAP ASE (Sybase) integration in-house.
Yes — Stacksync ships production-grade connectors for both Postgres Heroku and SAP ASE (Sybase). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns, plus custom fields where Postgres Heroku exposes them. On the SAP ASE (Sybase) side: Triggers, Indexes, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 Postgres Heroku and SAP ASE (Sybase).