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CRM ⇄ Analytics

Freshsales to Treasuredata integration — real-time, two-way sync

Keep Freshsales and Treasuredata 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 Freshsales and Treasuredata

Put live Freshsales data behind every dashboard and cohort in Treasuredata, and write the segments and scores Treasuredata computes back onto the Freshsales record — one connection, not a nightly export.

Treasuredata turns data into dashboards, cohorts, and metrics; Freshsales is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.

Stacksync syncs Appointments, Notes, Sales activities, Products from Freshsales into Treasuredata field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Treasuredata write back to fields in Freshsales, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
  • 02 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
  • 03 Sync sales activities and appointments into analytics tools for rep productivity reporting.
  • 04 Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.

Common sync patterns

Where Freshsales accepts updates: segments and scores back on the record

Cohorts, scores, and computed metrics from Treasuredata sync onto fields in Freshsales, putting the analysis where reps and owners actually work the accounts.

One customer across analytics and CRM

The same account or person is keyed consistently in both systems, so a profile or row in Treasuredata lines up with the contact or account in Freshsales.

A record that outlives edits in the CRM

A continuously synced copy of Freshsales's records and activity in Treasuredata keeps a queryable history even as records change or age out of the CRM.

What you can sync between Freshsales and Treasuredata

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.

Freshsales objects Treasuredata objects How this pairing syncs
Products Catalog items attached to deals for line-level revenue data. Query Jobs Ad-hoc Presto/Trino query jobs run asynchronously; results are retrieved from the job result endpoint and fed into downstream systems. Products is specific to Freshsales and Query Jobs to Treasuredata — each maps to any object or custom field on the other side.
Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. Contacts is specific to Freshsales and Databases to Treasuredata — each maps to any object or custom field on the other side.
Accounts Company records kept aligned with billing, ERP, and warehouse tables. Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. Accounts is specific to Freshsales and Tables to Treasuredata — each maps to any object or custom field on the other side.
Deals Pipeline records synced to a warehouse for revenue reporting. Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. Deals is specific to Freshsales and Master (Parent) Segments to Treasuredata — each maps to any object or custom field on the other side.
Tasks Rep to-dos created from external triggers or synced for productivity reporting. Segments Campaign subsets of a parent segment; membership read out to activate audiences in downstream systems, or audience flags written back onto records. Tasks is specific to Freshsales and Segments to Treasuredata — each maps to any object or custom field on the other side.
Appointments Scheduled meetings readable for activity analytics. Journeys Timeline-based event sequences in Audience Studio; stage and membership read out for reporting and cross-system activation. Appointments is specific to Freshsales and Journeys to Treasuredata — each maps to any object or custom field on the other side.

How changes propagate between Freshsales and Treasuredata

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.

Freshsales Treasuredata Sub-second propagation

DetectionFreshsales notifies Stacksync of record changes through webhook events. Polling with updated-at filters through views.

DeliveryEach detected change is written to Treasuredata through its API, with automatic retries and rate-limit backoff.

Treasuredata Freshsales Interval-based propagation

DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.

DeliveryEach detected change is written to Freshsales through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Freshsales: Subject to per-account API rate limits that vary by Freshworks plan.
  • Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with Freshsales ⇄ Treasuredata

Connect Freshsales and Treasuredata for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Freshsales or Treasuredata instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshsales or Treasuredata 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 Freshsales or Treasuredata record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Freshsales and Treasuredata.

How the Freshsales and Treasuredata connectors work

Freshsales

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by Freshworks plan

Treasuredata

Integration surface
TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
Authentication
API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
Change detection
Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
Capabilities
read · write
Rate limits
TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works

How to connect Freshsales to Treasuredata — 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 Freshsales and Treasuredata 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
    Freshsales connected
    Treasuredata connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshsales and Treasuredata 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 · Freshsales ⇄ Treasuredata
    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
    Freshsales Treasuredata
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshsales and Treasuredata 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.

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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 396 integrations available for Freshsales and Treasuredata.

Popular · 6 of 396
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