Two-way sync
Changes in Drift or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Drift and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Playbooks, Meetings, Contacts, Conversations from Drift land in StarRocks as live tables, updated within seconds, and columns computed in StarRocks write back to fields in Drift. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Drift's relationship data with billing, product, and support data in StarRocks to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in StarRocks can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Drift are queryable in StarRocks moments after they change, so dashboards stop lagging the reality they describe.
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.
| Drift objects | StarRocks objects | |
|---|---|---|
| Accounts Company records used for account-based routing and targeting. | Partitions Time or range partitions that scope loads and retention. | |
| Users Agents and sales reps who own conversations and meetings. | Columns Columnar storage with types mapped from source systems during sync. | |
| Playbooks Bot flows that generate conversations and qualify visitors. | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Meetings Meetings booked through Drift, synced to CRM as sales activities. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Contacts Visitor and lead records created or matched from chat identities; the main CRM-sync object. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Conversations Chat threads with status and participants; the center of Drift's data model. | Views Logical views for shaping analytical reads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Drift–StarRocks connection.
Changes in Drift or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Drift or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Drift or StarRocks record.
Track your Drift ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Drift and StarRocks.
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 Drift and StarRocks 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 Drift and StarRocks 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 Drift and StarRocks: authenticate both systems, choose the objects to sync (such as Drift's Accounts and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Drift and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Drift: Webhook events for new conversations, messages, and contact changes; polling for backfills. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Drift side: Playbooks, Meetings, Contacts, Conversations, plus custom fields where Drift exposes them. On the StarRocks side: Databases, Tables, Materialized views, Views. 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 Drift and StarRocks: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Drift's relationship data with billing, product, and support data in StarRocks to build the customer picture the CRM alone cannot hold.
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 Drift and StarRocks.