Real-time
Two-way sync
Changes in Nimble or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Nimble to TimescaleDB integration — real-time, two-way sync
Keep Nimble and TimescaleDB 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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Why teams connect Nimble and TimescaleDB
Treat Nimble like part of your database: its records live in TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Tags, Custom fields, Contacts, Companies from Nimble into Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB 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 Feed Nimble activity and task data into reporting dashboards without manual CSV exports.
- 02 Sync Nimble contacts and companies into Postgres so ops teams can query socially enriched profile data with SQL.
- 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Nimble become tables in TimescaleDB you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to TimescaleDB 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 Nimble and TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Activities Calls, events, and interaction history used for engagement reporting outside Nimble | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Activities is specific to Nimble and Hypertables to TimescaleDB — 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 | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Notes is specific to Nimble and Chunks to TimescaleDB — 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 | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Tags is specific to Nimble and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Custom fields Account-defined contact attributes that carry enrichment or internal identifiers | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Custom fields is specific to Nimble and Regular PostgreSQL Tables to TimescaleDB — 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 Standard SQL views used to shape or filter data for consumers. | Contacts is specific to Nimble and Views to TimescaleDB — 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 | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Companies is specific to Nimble and Schemas to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Nimble and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Nimble Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Nimble ⇄ TimescaleDB
Connect Nimble and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Nimble–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Nimble or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Nimble ⇄ TimescaleDB 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 TimescaleDB.
How the Nimble and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Nimble to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Nimble and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Nimble and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Nimble and TimescaleDB: authenticate both systems, choose the objects to sync (such as Nimble's Activities and Notes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Nimble and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Nimble–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Nimble and TimescaleDB. 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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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: Tags, Custom fields, Contacts, Companies, plus custom fields where Nimble exposes them. On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL 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.
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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Popular · 6 of 344
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TimescaleDB ⇄ Gong
No integrations match .
