Two-way sync
Changes in Reltio or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Reltio and SQL Server 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 SQL Server 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.
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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Data Change Requests (DCR) is specific to Reltio and Stored Procedures to SQL Server — 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. | Databases Instance-level databases that scope a sync's reads and writes. | Reference Data (RDM) is specific to Reltio and Databases to SQL Server — 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. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Entities is specific to Reltio and Schemas to SQL Server — 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. | Tables The primary sync target; rows map to records in connected systems. | Relations is specific to Reltio and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Crosswalks Per-entity references to the source systems and their record IDs; written when loading records so Reltio ties each source contribution to a golden record, and read to trace lineage back to origin systems. | Views Read-side projections used as outbound sync sources. | Crosswalks is specific to Reltio and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. | Columns Field-level mapping targets with T-SQL types. | Interactions is specific to Reltio and Columns to SQL Server — 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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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–SQL Server connection.
Changes in Reltio or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Reltio or SQL Server 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 SQL Server record.
Track your Reltio ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Reltio and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server: authenticate both systems, choose the objects to sync (such as Reltio's Data Change Requests (DCR) and Reference Data (RDM)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Reltio: Reltio REST API (Data API) — /entities, /relations, /interactions, /activities, plus Match, RDM (reference data), and Data Change Request endpoints; base URL https://{environment}.reltio.com/reltio/api/{tenantId}. Authentication: OAuth 2.0 bearer tokens obtained from Reltio's central auth server (POST https://auth.reltio.com/oauth/token, client-credentials or password grant, application/x-www-form-urlencoded) and sent as Authorization: Bearer <token>; access tokens expire after about 60 minutes and are renewed with a refresh token, and are scoped per API (entities_api, relations_api, interactions_api, configuration_api, graphs_api). SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Reltio: Reltio has no database-style CDC log external tools consume; incremental sync filters entities and relations on updateTime (epoch-ms). Reltio separately can publish change events to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka) — a queue feed, not HTTP webhooks. SQL Server: Change Tracking is a lower-overhead alternative that records which rows changed, but not intermediate values, so it suits net-change syncs. Stacksync's field mapping accounts for these differences between Reltio and SQL Server without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Reltio and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Reltio and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Reltio–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Reltio and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates 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 464 integrations available for Reltio and SQL Server.