Two-way sync
Changes in CockroachDB or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Keep CockroachDB and DealCloud 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 CockroachDB, where it can be queried and joined like everything else.
Stacksync mirrors Deal, Company, Contact, Fund from DealCloud into Tables, Views, Indexes, Sequences in CockroachDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in DealCloud 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 CockroachDB sync onto the matching records in DealCloud, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
Field and stage updates in DealCloud arrive as row changes in CockroachDB, 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.
| CockroachDB objects | DealCloud objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers a sync connects to, addressed like PostgreSQL databases. | Deal Synced with incremental and full sync. | Databases is specific to CockroachDB and Deal to DealCloud — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables from application tables. | Company Synced with incremental and full sync. | Schemas is specific to CockroachDB and Company to DealCloud — each maps to any object or custom field on the other side. | |
| Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | Contact Synced with incremental and full sync. | Tables is specific to CockroachDB and Contact to DealCloud — each maps to any object or custom field on the other side. | |
| Views Read-only projections used as curated sync sources. | Fund Synced with incremental and full sync. | Views is specific to CockroachDB and Fund to DealCloud — each maps to any object or custom field on the other side. | |
| Indexes Secondary indexes that keep sync lookup queries fast on key columns. | Investment Synced with incremental and full sync. | Indexes is specific to CockroachDB and Investment to DealCloud — each maps to any object or custom field on the other side. | |
| Sequences ID generators that matter when writes originate from an external system. | Relationship Synced with incremental and full sync. | Sequences is specific to CockroachDB and Relationship to DealCloud — 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.
DetectionChanges in CockroachDB are captured at the source via change data capture — no polling loop against its API. CDC via changefeeds, which stream row-level changes.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is applied to CockroachDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every CockroachDB–DealCloud connection.
Changes in CockroachDB or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever CockroachDB or DealCloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single CockroachDB or DealCloud record.
Track your CockroachDB ⇄ DealCloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between CockroachDB and DealCloud.
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 CockroachDB and DealCloud 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 CockroachDB and DealCloud 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 CockroachDB and DealCloud: authenticate both systems, choose the objects to sync (such as CockroachDB's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both CockroachDB and DealCloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on CockroachDB: CDC via changefeeds, which stream row-level changes; polling as a fallback. On DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the DealCloud side: Deal, Company, Contact, Fund, plus custom fields where DealCloud exposes them. On the CockroachDB side: Tables, Views, Indexes, Sequences. 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 CockroachDB and DealCloud: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to CockroachDB sync onto the matching records in DealCloud, giving go-to-market teams live product context.
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 392 integrations available for CockroachDB and DealCloud.