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Business productivity ⇄ Database

BetterContact to TimescaleDB integration — real-time data sync

Keep BetterContact 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 BetterContact and TimescaleDB

Mirror BetterContact's data into TimescaleDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.

BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into TimescaleDB, so TimescaleDB always reflects the current state of BetterContact — without exports, scripts, or schedulers.

Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in TimescaleDB.

Stacksync mirrors Company, Lead Finder Search, Enrichment Request, Enriched Contact from BetterContact into Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views in TimescaleDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.

Common use cases

  • 01 Validate catch-all email addresses before sending to protect sender domain reputation.
  • 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
  • 03 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
  • 04 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.

Common sync patterns

Read BetterContact with a query

Records from BetterContact are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.

Automate BetterContact from your codebase

Write to the synced tables in TimescaleDB and Stacksync propagates the change into BetterContact, replacing custom integration code.

React to changes as they happen

Updates in BetterContact arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.

What you can sync between BetterContact 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.

BetterContact objects TimescaleDB objects How this pairing syncs
Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Enrichment Request is specific to BetterContact and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Enriched Contact is specific to BetterContact and Chunks to TimescaleDB — each maps to any object or custom field on the other side.
Company Company data returned with each contact: name, domain, HQ location, industry, employee count. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Company is specific to BetterContact and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Lead Finder Search is specific to BetterContact and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between BetterContact 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.

BetterContact TimescaleDB Sub-second propagation

DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.

DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.

TimescaleDB BetterContact 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.

DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating TimescaleDB records.

Rate-limit considerations

  • BetterContact: Batches capped at 100 contacts per enrichment request.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with BetterContact ⇄ TimescaleDB

Connect BetterContact and TimescaleDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BetterContact–TimescaleDB connection.

Real-time

Real-time sync

Changes in BetterContact or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BetterContact 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 BetterContact or TimescaleDB record.

Observability

Monitoring

Track your BetterContact ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BetterContact and TimescaleDB.

How the BetterContact and TimescaleDB connectors work

BetterContact

Integration surface
Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
Authentication
API key
Change detection
Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
Capabilities
read · webhooks
Rate limits
Batches capped at 100 contacts per enrichment request.

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 BetterContact 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.

  1. 01

    Connect your apps

    Authenticate BetterContact 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BetterContact connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BetterContact 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BetterContact ⇄ TimescaleDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BetterContact TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BetterContact and TimescaleDB integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for BetterContact and TimescaleDB.

Popular · 8 of 390
All BetterContact integrations All TimescaleDB integrations Browse all integrations
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