Two-way sync
Changes in Salesforce or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Salesforce 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. Opportunities, Cases, Campaigns, Tasks and Events from Salesforce land in StarRocks as live tables, updated within seconds, and columns computed in StarRocks write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in StarRocks appear as fields in Salesforce, where the people working accounts actually see them.
Join Salesforce'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.
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.
| Salesforce objects | StarRocks objects | |
|---|---|---|
| Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Views Logical views for shaping analytical reads. | |
| Cases Support records; synced with help desk tools or internal databases for escalation workflows. | Partitions Time or range partitions that scope loads and retention. | |
| Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | Columns Columnar storage with types mapped from source systems during sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Salesforce–StarRocks connection.
Changes in Salesforce or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Salesforce 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 Salesforce or StarRocks record.
Track your Salesforce ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Salesforce 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 Salesforce 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 Salesforce 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 Salesforce and StarRocks: authenticate both systems, choose the objects to sync (such as Salesforce's Accounts and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). 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 Salesforce side: Opportunities, Cases, Campaigns, Tasks and Events, plus custom fields where Salesforce exposes them. On the StarRocks side: Materialized views, Views, Partitions, Columns. 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 Salesforce and StarRocks: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in StarRocks appear as fields in Salesforce, where the people working accounts actually see them.
Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). 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 Salesforce and StarRocks.