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AWS Aurora MySQL to SAP ASE (Sybase) integration — real-time, two-way sync

Keep AWS Aurora MySQL 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and SAP ASE (Sybase)

Keep AWS Aurora MySQL and SAP ASE (Sybase) synchronized in real time, across engines, regions, or services, in one or both directions.

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 AWS Aurora MySQL 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.

Common use cases

  • 01 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 02 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 03 Bridge legacy ASE-backed applications to modern SaaS tools through a synced intermediate database.
  • 04 Migrate off ASE incrementally by keeping old and new databases in sync during cutover.

Common sync patterns

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between AWS Aurora MySQL and SAP ASE (Sybase)

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.

AWS Aurora MySQL objects SAP ASE (Sybase) objects How this pairing syncs
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Tables The core sync unit; rows are read and written with standard SQL. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Can serve as read-only sync sources for derived or filtered datasets. Views Read-only projections used to shape data for extraction without touching base tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. Columns is specific to AWS Aurora MySQL and Stored Procedures to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Databases and Schemas Namespaces that scope sync configuration and permissions. Primary keys and indexes is specific to AWS Aurora MySQL and Databases and Schemas to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. Foreign keys is specific to AWS Aurora MySQL and Triggers to SAP ASE (Sybase) — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. Stored procedures and triggers is specific to AWS Aurora MySQL and Indexes to SAP ASE (Sybase) — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and SAP ASE (Sybase)

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.

AWS Aurora MySQL SAP ASE (Sybase) Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is applied to SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.

SAP ASE (Sybase) AWS Aurora MySQL Interval-based propagation

DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

What ships with AWS Aurora MySQL ⇄ SAP ASE (Sybase)

Connect AWS Aurora MySQL and SAP ASE (Sybase) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–SAP ASE (Sybase) connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or SAP ASE (Sybase) 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 AWS Aurora MySQL or SAP ASE (Sybase) record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and SAP ASE (Sybase).

How the AWS Aurora MySQL and SAP ASE (Sybase) connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

SAP ASE (Sybase)

Integration surface
SQL over the TDS wire protocol; JDBC (jConnect) and ODBC drivers
Authentication
Database credentials (username/password), optionally backed by LDAP or Kerberos
Change detection
Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components
Capabilities
read · write
How it works

How to connect AWS Aurora MySQL to SAP ASE (Sybase) — 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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    SAP ASE (Sybase) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ SAP ASE (Sybase)
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL SAP ASE (Sybase)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and SAP ASE (Sybase) integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for AWS Aurora MySQL and SAP ASE (Sybase).

Popular · 8 of 392
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