Two-way sync
Changes in Amazon Aurora or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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.
| Amazon Aurora objects | SAP ASE (Sybase) objects | |
|---|---|---|
| Databases Logical databases within a cluster that scope a sync connection. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | |
| Tables Relational tables synced bi-directionally at row level. | Tables The core sync unit; rows are read and written with standard SQL. | |
| Views Read-only query-backed sources for downstream syncs. | Views Read-only projections used to shape data for extraction without touching base tables. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Databases and Schemas Namespaces that scope sync configuration and permissions. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–SAP ASE (Sybase) connection.
Changes in Amazon Aurora or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or SAP ASE (Sybase) record.
Track your Amazon Aurora ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Amazon Aurora's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Aurora side: Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases, plus custom fields where Amazon Aurora exposes them. On the SAP ASE (Sybase) side: Databases and Schemas, Triggers, Indexes, Tables. 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.
Common patterns for Amazon Aurora and SAP ASE (Sybase): Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Amazon Aurora and SAP ASE (Sybase), so each workload runs on the engine that suits it.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. SAP ASE (Sybase): SQL over the TDS wire protocol; JDBC (jConnect) and ODBC drivers. Authentication: Database credentials (username/password), optionally backed by LDAP or Kerberos. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. SAP ASE (Sybase): Connectivity typically goes through SAP's jConnect JDBC driver or Open Client/ODBC libraries. Stacksync's field mapping accounts for these differences between Amazon Aurora and SAP ASE (Sybase) without custom code.
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 Amazon Aurora and SAP ASE (Sybase).