Two-way sync
Changes in Nimble or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Nimble and SQL Server 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 SQL Server, where it can be queried and joined like everything else.
Stacksync mirrors Notes, Tags, Custom fields, Contacts from Nimble into Stored Procedures, Databases, Schemas, Tables in SQL Server 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.
Field and stage updates in Nimble arrive as row changes in SQL Server, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Nimble become tables in SQL Server you can join with application data directly.
Signup, usage, or lifecycle changes written to SQL Server sync onto the matching records in Nimble, giving go-to-market teams live product context.
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.
| Nimble objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables | Schemas Namespaces (dbo and custom) used to organize synced tables. | Tasks is specific to Nimble and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Activities Calls, events, and interaction history used for engagement reporting outside Nimble | Tables The primary sync target; rows map to records in connected systems. | Activities is specific to Nimble and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Notes Free-text records attached to contacts, replicated for a complete account timeline | Views Read-side projections used as outbound sync sources. | Notes is specific to Nimble and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Tags Segmentation labels that map to list membership or filters in downstream systems | Columns Field-level mapping targets with T-SQL types. | Tags is specific to Nimble and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| Custom fields Account-defined contact attributes that carry enrichment or internal identifiers | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Custom fields is specific to Nimble and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side. | |
| Contacts Person records with multi-value fields for email, phone, and social profiles; the primary sync entity | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Contacts is specific to Nimble and CDC Change Tables to SQL Server — 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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Nimble through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Nimble–SQL Server connection.
Changes in Nimble or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Nimble or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Nimble or SQL Server record.
Track your Nimble ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Nimble and SQL Server.
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 Nimble and SQL Server 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 Nimble and SQL Server 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 Nimble and SQL Server: authenticate both systems, choose the objects to sync (such as Nimble's Tasks and Activities), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Nimble and SQL Server: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Nimble arrive as row changes in SQL Server, ready to drive jobs and notifications.
Nimble: REST API (JSON). Authentication: API key; OAuth 2.0 available for registered applications. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Nimble: Nimble auto-enriches contacts from social profiles and email signatures, so synced records can change without a user edit. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Nimble and SQL Server 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 Nimble and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Nimble and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Nimble–SQL Server integration in-house.
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 452 integrations available for Nimble and SQL Server.