Two-way sync
Changes in Reltio or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Reltio and SAP Hana 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 Reltio and SAP Hana 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 Reltio and SAP Hana, 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.
| Reltio objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Matches (Potential Matches) Candidate duplicate pairs produced by match rules; read to review, and resolved with merge, unmerge, or not-a-match actions to control survivorship. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Matches (Potential Matches) is specific to Reltio and Sequences to SAP Hana — each maps to any object or custom field on the other side. | |
| Activity Log Immutable audit trail of changes to entities and relations via /activities; read-only, used for history, lineage, and compliance reporting. | Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. | Activity Log is specific to Reltio and Triggers to SAP Hana — each maps to any object or custom field on the other side. | |
| Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. | System-versioned temporal tables Column store tables with a history table tracking each row's validity period; used to reconstruct update and delete history for change capture. | Data Change Requests (DCR) is specific to Reltio and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Reference Data (RDM) Managed lookup and reference values (country codes, standardized values, hierarchies); read and updated so downstream systems share consistent reference data. | System views (SYS schema) Catalog and monitoring views such as SYS.TABLES and TABLE_COLUMNS; read to discover schema and auto-generate field mappings for new tables. | Reference Data (RDM) is specific to Reltio and System views (SYS schema) to SAP Hana — each maps to any object or custom field on the other side. | |
| Entities Golden records for each configured entity type (for example Organization, Individual/Contact, Location, or Product); full CRUD via /entities, so records are created, updated, and deleted, and Reltio matches and merges them by survivorship rules. | Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Entities is specific to Reltio and Column store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Relations Typed relationships between two entities (affiliations, hierarchies, employment, households); read and written via /relations to keep account hierarchies and affiliation graphs aligned across systems. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Relations is specific to Reltio and Row store tables to SAP Hana — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Reltio for changes on an incremental schedule, reading only records changed since the previous pass. Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
DeliveryEach detected change is written to Reltio through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Reltio–SAP Hana connection.
Changes in Reltio or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Reltio or SAP Hana data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Reltio or SAP Hana record.
Track your Reltio ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Reltio and SAP Hana.
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 Reltio and SAP Hana 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 Reltio and SAP Hana 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 Reltio and SAP Hana: authenticate both systems, choose the objects to sync (such as Reltio's Matches (Potential Matches) and Activity Log), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Reltio and SAP Hana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Reltio: Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored watermark. Reltio has no CDC log external tools consume; separately, Reltio's event streaming can publish entity change events (created, changed, removed) to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka), which is a queue feed rather than HTTP webhooks. On SAP Hana: Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Reltio side: Crosswalks, Interactions, Matches (Potential Matches), Activity Log, plus custom fields where Reltio exposes them. On the SAP Hana side: Sequences, Triggers, System-versioned temporal tables, System views (SYS schema). 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 Reltio and SAP Hana: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Reltio and SAP Hana, so each workload runs on the engine that suits it.
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 465 integrations available for Reltio and SAP Hana.