Real-time
Two-way sync
Changes in Azure SQL Database or Nimble instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Azure SQL Database to Nimble integration — real-time, two-way sync
Keep Azure SQL Database and Nimble 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Azure SQL Database and Nimble
Treat Nimble like part of your database: its records live in Azure SQL Database 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 Azure SQL Database, where it can be queried and joined like everything else.
Stacksync mirrors Custom fields, Contacts, Companies, Deals from Nimble into Rows and columns, Stored procedures, Change tracking / CDC tables, Tables in Azure SQL Database with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Nimble 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 Push product usage or billing flags from internal databases into Nimble custom fields so reps have context before outreach.
- 02 Keep deals aligned between Nimble and an accounting system so invoicing starts when a deal closes.
- 03 Consolidate data from several line-of-business apps into one Azure SQL database as an integration hub.
- 04 Feed an Azure SQL operational database with orders and inventory from an ERP in near real time.
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Nimble become tables in Azure SQL Database you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Azure SQL Database sync onto the matching records in Nimble, 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 Nimble API, limits, and retries.
What you can sync between Azure SQL Database and Nimble
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.
| Azure SQL Database objects | Nimble objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Companies Stored as contact records with a company record type, so they sync through the same contacts resource | Schemas is specific to Azure SQL Database and Companies to Nimble — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity | Rows and columns is specific to Azure SQL Database and Deals to Nimble — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables | Stored procedures is specific to Azure SQL Database and Tasks to Nimble — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Activities Calls, events, and interaction history used for engagement reporting outside Nimble | Change tracking / CDC tables is specific to Azure SQL Database and Activities to Nimble — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Notes Free-text records attached to contacts, replicated for a complete account timeline | Tables is specific to Azure SQL Database and Notes to Nimble — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Tags Segmentation labels that map to list membership or filters in downstream systems | Views is specific to Azure SQL Database and Tags to Nimble — each maps to any object or custom field on the other side. |
How changes propagate between Azure SQL Database and Nimble
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.
Azure SQL Database Nimble Sub-second propagation
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Nimble through its API, with automatic retries and rate-limit backoff.
Nimble Azure SQL Database Interval-based propagation
DetectionStacksync polls Nimble for changes on an incremental schedule, reading only records changed since the previous pass. Polling on record modification timestamps.
DeliveryEach detected change is applied to Azure SQL Database as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Nimble: Subject to per-account API request quotas.
What ships with Azure SQL Database ⇄ Nimble
Connect Azure SQL Database and Nimble for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Nimble connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure SQL Database or Nimble 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 Azure SQL Database or Nimble record.
Observability
Monitoring
Track your Azure SQL Database ⇄ Nimble sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Nimble.
How the Azure SQL Database and Nimble connectors work
Azure SQL Database
- Integration surface
- SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
- Authentication
- SQL authentication (database credentials) or Microsoft Entra ID authentication
- Change detection
- Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
- Capabilities
- read · write · CDC
Nimble
- Integration surface
- REST API (JSON)
- Authentication
- API key; OAuth 2.0 available for registered applications
- Change detection
- polling on record modification timestamps
- Capabilities
- read · write
- Rate limits
- subject to per-account API request quotas
How it works
How to connect Azure SQL Database to Nimble — 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 Azure SQL Database and Nimble with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure SQL Database
connected
Nimble
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure SQL Database and Nimble 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 · Azure SQL Database ⇄ NimbleCustomers 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.
Azure SQL Database NimbleCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure SQL Database and Nimble integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure SQL Database and Nimble: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Schemas and Rows and columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Nimble side: Custom fields, Contacts, Companies, Deals, plus custom fields where Nimble exposes them. On the Azure SQL Database side: Rows and columns, Stored procedures, Change tracking / CDC tables, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Azure SQL Database and Nimble: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Nimble become tables in Azure SQL Database you can join with application data directly.
-
Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Nimble: REST API (JSON). Authentication: API key; OAuth 2.0 available for registered applications. Stacksync manages authentication, retries, and rate limits on both sides.
-
Nimble: Nimble stores people and companies as contact records distinguished by record type, so both entity types flow through the same contacts resource. Azure SQL Database: It speaks the same TDS protocol as on-premises SQL Server, so existing SQL Server drivers and tools connect without modification. Stacksync's field mapping accounts for these differences between Azure SQL Database and Nimble without custom code.
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:
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