Real-time
Real-time sync
Changes in 6sense or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
6sense to Google Cloud SQL integration — real-time data sync
Keep 6sense and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Celigo
Why teams connect 6sense and Google Cloud SQL
Treat 6sense like part of your database: its records live in Google Cloud SQL as real tables, and writes in either place sync to the other in seconds.
6sense is a read-only source: Stacksync reads its data in real time and delivers it into Google Cloud SQL, so Google Cloud SQL always reflects the current state of 6sense — without exports, scripts, or schedulers.
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 Cloud SQL, where it can be queried and joined like everything else.
Common use cases
- 01 Pull segment membership into a marketing automation platform to trigger campaigns when accounts enter a segment.
- 02 Land account-level intent data in a warehouse to join with pipeline data for ABM reporting.
- 03 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
- 04 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
Common sync patterns
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the 6sense API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in 6sense arrive as row changes in Google Cloud SQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from 6sense become tables in Google Cloud SQL you can join with application data directly.
What you can sync between 6sense and Google Cloud SQL
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.
| 6sense objects | Google Cloud SQL objects | How this pairing syncs | |
|---|---|---|---|
| Reach Scores Model scores reflecting the level and recency of outreach to an account or contact, used to prioritize follow-up. | Schemas Namespace tables in PostgreSQL and SQL Server instances. | Reach Scores is specific to 6sense and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side. | |
| Accounts Company records enriched with firmographics and intent data, matched to CRM accounts. | Tables Mapped directly to sync targets; schema changes can be propagated. | Accounts is specific to 6sense and Tables to Google Cloud SQL — each maps to any object or custom field on the other side. | |
| Segments Dynamic account lists built from intent and fit criteria, read out to drive targeting. | Rows Read and written by primary key during each sync cycle. | Segments is specific to 6sense and Rows to Google Cloud SQL — each maps to any object or custom field on the other side. | |
| Buying Stage Scores Model-predicted stage per account, synced onto CRM records for prioritization. | Views Read-only sources for shaping data before syncing it out. | Buying Stage Scores is specific to 6sense and Views to Google Cloud SQL — each maps to any object or custom field on the other side. | |
| Intent Signals Keyword-level research activity used to flag in-market accounts. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Intent Signals is specific to 6sense and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side. | |
| People / Contacts Persona and contact data surfaced for accounts, used to build outreach lists. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | People / Contacts is specific to 6sense and Instances to Google Cloud SQL — each maps to any object or custom field on the other side. |
How changes propagate between 6sense and Google Cloud SQL
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.
6sense Google Cloud SQL Interval-based propagation
DetectionStacksync polls 6sense for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.
Google Cloud SQL 6sense Sub-second propagation
DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
Delivery6sense does not accept inbound record writes, so this direction carries requests rather than records: 6sense's output flows back as field updates on the originating Google Cloud SQL records.
Rate-limit considerations
- 6sense: Subject to the platform's API rate limits, which vary by contracted API package.
- Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with 6sense ⇄ Google Cloud SQL
Connect 6sense and Google Cloud SQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every 6sense–Google Cloud SQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever 6sense or Google Cloud SQL 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 6sense or Google Cloud SQL record.
Observability
Monitoring
Track your 6sense ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between 6sense and Google Cloud SQL.
How the 6sense and Google Cloud SQL connectors work
6sense
- Integration surface
- REST API
- Authentication
- API key (token passed in request headers)
- Change detection
- Polling; scores and segment membership are typically refreshed on the platform's model update cadence
- Capabilities
- read
- Rate limits
- Subject to the platform's API rate limits, which vary by contracted API package
Google Cloud SQL
- Integration surface
- Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
- Authentication
- Database credentials; IAM database authentication is available for MySQL and PostgreSQL
- Change detection
- Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- Constrained by instance size and connection limits rather than API quotas.
How it works
How to connect 6sense to Google Cloud SQL — 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 6sense and Google Cloud SQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
6sense
connected
Google Cloud SQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the 6sense and Google Cloud SQL 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 · 6sense ⇄ Google Cloud SQLCustomers 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.
6sense Google Cloud SQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
6sense and Google Cloud SQL integration FAQ
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Yes. Stacksync provides a managed, real-time integration between 6sense and Google Cloud SQL — 6sense is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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6sense: Segments are dynamic: accounts enter and leave based on intent and fit criteria, so integrations re-read membership rather than treating lists as static. Google Cloud SQL: Change capture is engine-specific: binlog replication on MySQL, logical replication slots on PostgreSQL, and change tracking or CDC features on SQL Server. Stacksync's field mapping accounts for these differences between 6sense and Google Cloud SQL 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 6sense and Google Cloud SQL 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 6sense and Google Cloud SQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom 6sense–Google Cloud SQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both 6sense and Google Cloud SQL. 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 6sense: Polling; scores and segment membership are typically refreshed on the platform's model update cadence. On Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling 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
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 361 integrations available for 6sense and Google Cloud SQL.
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