Real-time
Two-way sync
Changes in Nimble or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Nimble to Oracle DB integration — real-time, two-way sync
Keep Nimble and Oracle DB 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Nimble and Oracle DB
Treat Nimble like part of your database: its records live in Oracle DB 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 Oracle DB, where it can be queried and joined like everything else.
Stacksync mirrors Deals, Tasks, Activities, Notes from Nimble into Materialized views, Schemas, Sequences, PL/SQL procedures and packages in Oracle DB 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 Keep deals aligned between Nimble and an accounting system so invoicing starts when a deal closes.
- 02 Consolidate contacts from marketing tools into Nimble while writing Nimble edits back to avoid duplicates.
- 03 Log-based replication of order and inventory tables into an analytics warehouse instead of nightly batch dumps.
- 04 Expose a curated subset of an on-prem Oracle ERP schema to cloud tools by syncing it to a managed Postgres.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Oracle DB 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.
Trigger workflows from CRM changes
Field and stage updates in Nimble arrive as row changes in Oracle DB, ready to drive jobs and notifications.
What you can sync between Nimble and Oracle DB
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 | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| Tags Segmentation labels that map to list membership or filters in downstream systems | JSON columns Document data stored in the converged engine and synced alongside relational rows | Tags is specific to Nimble and JSON columns to Oracle DB — each maps to any object or custom field on the other side. | |
| Custom fields Account-defined contact attributes that carry enrichment or internal identifiers | Tables The primary read/write surface for row-level sync over SQL | Custom fields is specific to Nimble and Tables to Oracle DB — 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 | Views Curated read-only projections exposed to downstream consumers | Contacts is specific to Nimble and Views to Oracle DB — each maps to any object or custom field on the other side. | |
| Companies Stored as contact records with a company record type, so they sync through the same contacts resource | Materialized views Precomputed results occasionally used as stable replication sources | Companies is specific to Nimble and Materialized views to Oracle DB — each maps to any object or custom field on the other side. | |
| Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity | Schemas Per-user namespaces that scope sync permissions and object visibility | Deals is specific to Nimble and Schemas to Oracle DB — each maps to any object or custom field on the other side. | |
| Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables | Sequences Key generators to respect when external systems insert rows | Tasks is specific to Nimble and Sequences to Oracle DB — each maps to any object or custom field on the other side. |
How changes propagate between Nimble and Oracle DB
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.
Nimble Oracle DB 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 Oracle DB as a row-level write, with types converted between the two schemas.
Oracle DB Nimble Sub-second propagation
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is written to Nimble through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Nimble: Subject to per-account API request quotas.
- Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with Nimble ⇄ Oracle DB
Connect Nimble and Oracle DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Nimble–Oracle DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Nimble or Oracle DB 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 Nimble or Oracle DB record.
Observability
Monitoring
Track your Nimble ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Nimble and Oracle DB.
How the Nimble and Oracle DB connectors work
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
Oracle DB
- Integration surface
- SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
- Authentication
- database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
- Change detection
- log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by database resources rather than API quotas
How it works
How to connect Nimble to Oracle DB — 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 Nimble and Oracle DB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Nimble
connected
Oracle DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Nimble and Oracle DB 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 · Nimble ⇄ Oracle DBCustomers 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.
Nimble Oracle DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Nimble and Oracle DB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Nimble and Oracle DB: authenticate both systems, choose the objects to sync (such as Nimble's Tags and Custom fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Nimble and Oracle DB. 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 Nimble: Polling on record modification timestamps. On Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Nimble side: Deals, Tasks, Activities, Notes, plus custom fields where Nimble exposes them. On the Oracle DB side: Materialized views, Schemas, Sequences, PL/SQL procedures and packages. 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.
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Common patterns for Nimble and Oracle DB: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Oracle DB sync onto the matching records in Nimble, giving go-to-market teams live product context.
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
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