Two-way sync
Changes in SAP ASE (Sybase) or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep SAP ASE (Sybase) and TimescaleDB 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 SAP ASE (Sybase) and TimescaleDB 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both SAP ASE (Sybase) and TimescaleDB, so each workload runs on the engine that suits it.
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.
| SAP ASE (Sybase) objects | TimescaleDB objects | |
|---|---|---|
| Views Read-only projections used to shape data for extraction without touching base tables. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | Views Standard SQL views used to shape or filter data for consumers. | |
| Databases and Schemas Namespaces that scope sync configuration and permissions. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Tables The core sync unit; rows are read and written with standard SQL. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP ASE (Sybase)–TimescaleDB connection.
Changes in SAP ASE (Sybase) or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SAP ASE (Sybase) or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single SAP ASE (Sybase) or TimescaleDB record.
Track your SAP ASE (Sybase) ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SAP ASE (Sybase) and TimescaleDB.
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 SAP ASE (Sybase) and TimescaleDB 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 SAP ASE (Sybase) and TimescaleDB 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 SAP ASE (Sybase) and TimescaleDB: authenticate both systems, choose the objects to sync (such as SAP ASE (Sybase)'s Views and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both SAP ASE (Sybase) and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP ASE (Sybase) side: Databases and Schemas, Triggers, Indexes, Tables, plus custom fields where SAP ASE (Sybase) exposes them. On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates. 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 SAP ASE (Sybase) and TimescaleDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 SAP ASE (Sybase) and TimescaleDB.