Real-time
Two-way sync
Changes in DealCloud or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to Google AlloyDB integration — real-time, two-way sync
Keep DealCloud and Google AlloyDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect DealCloud and Google AlloyDB
Treat DealCloud like part of your database: its records live in Google AlloyDB as real tables, and writes in either place sync to the other in seconds.
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 Google AlloyDB, where it can be queried and joined like everything else.
Stacksync mirrors Contact, Fund, Investment, Relationship from DealCloud into Tables, Views, Materialized Views, Indexes in Google AlloyDB 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.
Common use cases
- 01 Keep DealCloud contacts and relationships in sync with an enrichment or email platform to maintain accurate firm-wide relationship intelligence.
- 02 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
- 03 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
- 04 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Google AlloyDB sync onto the matching records in DealCloud, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the DealCloud API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in DealCloud arrive as row changes in Google AlloyDB, ready to drive jobs and notifications.
What you can sync between DealCloud and Google AlloyDB
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.
| DealCloud objects | Google AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| User Synced with incremental and full sync. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. | User is specific to DealCloud and Tables to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | Views Curated projections used as read-only sync sources. | Deal is specific to DealCloud and Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Company is specific to DealCloud and Materialized Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Contact Synced with incremental and full sync. | Indexes Keep sync key lookups fast on high-volume tables. | Contact is specific to DealCloud and Indexes to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Fund Synced with incremental and full sync. | Sequences ID generation relevant when external systems insert rows. | Fund is specific to DealCloud and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Investment Synced with incremental and full sync. | Replication Slots Logical replication artifacts that back log-based change capture. | Investment is specific to DealCloud and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and Google AlloyDB
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.
DealCloud Google AlloyDB Interval-based propagation
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 Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB DealCloud Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to DealCloud through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with DealCloud ⇄ Google AlloyDB
Connect DealCloud and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or Google AlloyDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single DealCloud or Google AlloyDB record.
Observability
Monitoring
Track your DealCloud ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DealCloud and Google AlloyDB.
How the DealCloud and Google AlloyDB connectors work
DealCloud
- Integration surface
- REST API (DealCloud Data API v2)
- Authentication
- OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes
- Change detection
- Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval
- Capabilities
- read · write
- Rate limits
- API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect DealCloud to Google AlloyDB — three steps, no code
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.
- 01
Connect your apps
Authenticate DealCloud and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DealCloud
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud and Google AlloyDB 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.
objects · DealCloud ⇄ Google AlloyDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
DealCloud Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and Google AlloyDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Google AlloyDB: authenticate both systems, choose the objects to sync (such as DealCloud's User and Deal), map fields visually, and changes propagate both ways in milliseconds — no code required.
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DealCloud: The DealCloud API authenticates with OAuth 2.0 client-credentials; API access and scopes are provisioned by a DealCloud administrator. Google AlloyDB: A built-in columnar engine accelerates analytical queries on the same data that serves transactional workloads. Stacksync's field mapping accounts for these differences between DealCloud and Google AlloyDB without custom code.
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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 DealCloud and Google AlloyDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both DealCloud and Google AlloyDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection 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. On Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 392 integrations available for DealCloud and Google AlloyDB.
Popular · 8 of 392
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DealCloud ⇄ Elasticsearch -
DealCloud ⇄ Google Cloud Spanner - DealCloud ⇄ Google Cloud SQL
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DealCloud ⇄ IBM AS/400 -
Google AlloyDB ⇄ Infor CRM -
Google AlloyDB ⇄ Insightly -
Google AlloyDB ⇄ Intercom -
Google AlloyDB ⇄ Kommo
No integrations match .
