Real-time
Two-way sync
Changes in TimescaleDB or Vitally instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
TimescaleDB to Vitally integration — real-time, two-way sync
Keep TimescaleDB and Vitally 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 TimescaleDB and Vitally
Treat Vitally 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 Note, Conversation, NPS Response, Custom Trait from Vitally into Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally 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 billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
- 02 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
- 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
Product events onto CRM records
Signup, usage, or lifecycle changes written to TimescaleDB sync onto the matching records in Vitally, 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 Vitally API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Vitally arrive as row changes in TimescaleDB, ready to drive jobs and notifications.
What you can sync between TimescaleDB and Vitally
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.
| TimescaleDB objects | Vitally objects | How this pairing syncs | |
|---|---|---|---|
| Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Organization Parent organizations for hierarchical B2B account structures. | Hypertables is specific to TimescaleDB and Organization to Vitally — each maps to any object or custom field on the other side. | |
| Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Task CS tasks and follow-ups, readable and writable for workflow sync. | Chunks is specific to TimescaleDB and Task to Vitally — each maps to any object or custom field on the other side. | |
| Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Note Account and user notes captured by success teams. | Continuous Aggregates is specific to TimescaleDB and Note to Vitally — each maps to any object or custom field on the other side. | |
| Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. | Regular PostgreSQL Tables is specific to TimescaleDB and Conversation to Vitally — each maps to any object or custom field on the other side. | |
| Views Standard SQL views used to shape or filter data for consumers. | NPS Response NPS survey responses for account-health reporting. | Views is specific to TimescaleDB and NPS Response to Vitally — each maps to any object or custom field on the other side. | |
| Schemas Postgres namespaces used to separate synced datasets by team or environment. | Custom Trait Custom account and user traits for segmentation. | Schemas is specific to TimescaleDB and Custom Trait to Vitally — each maps to any object or custom field on the other side. |
How changes propagate between TimescaleDB and Vitally
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.
TimescaleDB Vitally 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 Vitally through its API, with automatic retries and rate-limit backoff.
Vitally TimescaleDB Sub-second propagation
DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
- Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with TimescaleDB ⇄ Vitally
Connect TimescaleDB and Vitally for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every TimescaleDB–Vitally connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever TimescaleDB or Vitally 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 TimescaleDB or Vitally record.
Observability
Monitoring
Track your TimescaleDB ⇄ Vitally sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between TimescaleDB and Vitally.
How the TimescaleDB and Vitally connectors work
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.
Vitally
- Integration surface
- REST API with cursor-based pagination (sortable by createdAt/updatedAt)
- Authentication
- API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
- Change detection
- Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
- Capabilities
- read · write · webhooks
- Rate limits
- Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works
How to connect TimescaleDB to Vitally — 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 TimescaleDB and Vitally with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
TimescaleDB
connected
Vitally
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the TimescaleDB and Vitally 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 · TimescaleDB ⇄ VitallyCustomers 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.
TimescaleDB VitallyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
TimescaleDB and Vitally integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between TimescaleDB and Vitally: authenticate both systems, choose the objects to sync (such as TimescaleDB's Hypertables and Chunks), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 TimescaleDB and Vitally 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 TimescaleDB and Vitally connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom TimescaleDB–Vitally integration in-house.
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Yes — Stacksync ships production-grade connectors for both TimescaleDB and Vitally. 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 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. On Vitally: Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates. 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 Vitally side: Note, Conversation, NPS Response, Custom Trait, plus custom fields where Vitally exposes them. On the TimescaleDB side: Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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
CSA STAR
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 390 integrations available for TimescaleDB and Vitally.
Popular · 8 of 390
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TimescaleDB ⇄ Freshworks CRM -
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Vitally ⇄ SQL Server -
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Vitally ⇄ AWS Aurora MySQL
No integrations match .
