Two-way sync
Changes in Salesforce or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Salesforce and TimescaleDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Opportunities, Cases, Campaigns, Tasks and Events from Salesforce into Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to TimescaleDB sync onto the matching records in Salesforce, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.
Field and stage updates in Salesforce arrive as row changes in TimescaleDB, ready to drive jobs and notifications.
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 | TimescaleDB objects | |
|---|---|---|
| Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Views Standard SQL views used to shape or filter data for consumers. | |
| Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Salesforce–TimescaleDB connection.
Changes in Salesforce or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Salesforce or TimescaleDB 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 TimescaleDB record.
Track your Salesforce ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Salesforce and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Salesforce's Products and Price Books and Custom Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Salesforce: Change Data Capture publishes create, update, delete, and undelete events on per-object channels, giving near-real-time change feeds without polling. TimescaleDB: Native compression converts older chunks to a columnar layout while keeping them queryable with the same SQL. Stacksync's field mapping accounts for these differences between Salesforce and TimescaleDB 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 Salesforce and TimescaleDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Salesforce and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Salesforce–TimescaleDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Salesforce and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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 386 integrations available for Salesforce and TimescaleDB.