Two-way sync
Changes in Neo4j or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j 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 Neo4j 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Neo4j 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.
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.
| Neo4j objects | SAP ASE (Sybase) objects | |
|---|---|---|
| Labels Node type markers used to map source tables or objects onto the graph. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Tables The core sync unit; rows are read and written with standard SQL. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Views Read-only projections used to shape data for extraction without touching base tables. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Databases and Schemas Namespaces that scope sync configuration and permissions. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–SAP ASE (Sybase) connection.
Changes in Neo4j or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j 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 Neo4j or SAP ASE (Sybase) record.
Track your Neo4j ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j 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 Neo4j 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 Neo4j 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 Neo4j and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Neo4j's Labels and Indexes & Constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. 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 Neo4j side: Nodes, Relationships, Properties, Labels, plus custom fields where Neo4j exposes them. On the SAP ASE (Sybase) side: Stored Procedures, Databases and Schemas, Triggers, Indexes. 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 Neo4j and SAP ASE (Sybase): Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. 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.
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 Neo4j and SAP ASE (Sybase).