Two-way sync
Changes in Reltio or Twilio instantly reflect in both systems. No stale data, no manual imports.
Keep Reltio and Twilio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Twilio through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Reltio.
Stacksync mirrors Addresses, Flows, Usage Records, Messages from Twilio into Reference Data (RDM), Entities, Relations, Crosswalks in Reltio and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Twilio, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Twilio are ordinary rows in Reltio; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Reltio and Stacksync propagates the change into Twilio, replacing custom integration code.
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 | Twilio objects | How this pairing syncs | |
|---|---|---|---|
| Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. | Accounts Synced with incremental and full sync per the Stacksync docs. | Interactions is specific to Reltio and Accounts to Twilio — each maps to any object or custom field on the other side. | |
| 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. | Roles Synced with incremental and full sync per the Stacksync docs. | Matches (Potential Matches) is specific to Reltio and Roles to Twilio — 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. | Addresses Synced with incremental and full sync per the Stacksync docs. | Activity Log is specific to Reltio and Addresses to Twilio — 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. | Flows Synced with incremental and full sync per the Stacksync docs. | Data Change Requests (DCR) is specific to Reltio and Flows to Twilio — 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. | Usage Records Aggregated usage and spend data synced into finance systems for cost tracking. | Reference Data (RDM) is specific to Reltio and Usage Records to Twilio — 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. | Messages SMS, MMS, and WhatsApp messages with delivery status; synced to log outreach in CRMs and databases. | Entities is specific to Reltio and Messages to Twilio — 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 written to Twilio through its API, with automatic retries and rate-limit backoff.
DetectionTwilio notifies Stacksync of record changes through webhook events. Status callback webhooks per message and call, plus polling of resource lists for backfill.
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–Twilio connection.
Changes in Reltio or Twilio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Reltio or Twilio 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 Twilio record.
Track your Reltio ⇄ Twilio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Reltio and Twilio.
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 Twilio 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 Twilio 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 Twilio: authenticate both systems, choose the objects to sync (such as Reltio's Interactions and Matches (Potential Matches)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Twilio: Every Twilio resource carries a 34-character SID with a type prefix (for example SM for messages, CA for calls), which gives syncs stable unique keys. 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. Stacksync's field mapping accounts for these differences between Reltio and Twilio 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 Twilio records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Reltio and Twilio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Reltio–Twilio integration in-house.
Yes — Stacksync ships production-grade connectors for both Reltio and Twilio. 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 Twilio: Status callback webhooks per message and call, plus polling of resource lists for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 378 integrations available for Reltio and Twilio.