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CRM ⇄ Database

Freshsales to Oracle DB integration — real-time, two-way sync

Keep Freshsales 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

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Why teams connect Freshsales and Oracle DB

Treat Freshsales 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 Tasks, Appointments, Notes, Sales activities from Freshsales into Views, Materialized views, Schemas, Sequences in Oracle DB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshsales 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

  • Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
  • Sync deals into a data warehouse for pipeline reporting alongside product usage data.
  • Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
  • Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.

Query the CRM like a database

Accounts, contacts, and custom objects from Freshsales become tables in Oracle DB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Oracle DB sync onto the matching records in Freshsales, 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 Freshsales API, limits, and retries.

What you can sync between Freshsales 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.

Freshsales objects Oracle DB objects
Appointments Scheduled meetings readable for activity analytics. Partitions Physical subdivisions relevant when replicating high-volume tables
Notes Free-text records attached to contacts, accounts, and deals. JSON columns Document data stored in the converged engine and synced alongside relational rows
Sales activities Configurable activity types logged against records, useful for engagement scoring. Tables The primary read/write surface for row-level sync over SQL
Products Catalog items attached to deals for line-level revenue data. Views Curated read-only projections exposed to downstream consumers
Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. Materialized views Precomputed results occasionally used as stable replication sources
Accounts Company records kept aligned with billing, ERP, and warehouse tables. Schemas Per-user namespaces that scope sync permissions and object visibility
What ships with Freshsales ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Freshsales 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 Freshsales or Oracle DB record.

Observability

Monitoring

Track your Freshsales ⇄ 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 Freshsales and Oracle DB.

How the Freshsales and Oracle DB 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

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 Freshsales 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.

  1. 01

    Connect your apps

    Authenticate Freshsales 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Freshsales connected
    Oracle DB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Freshsales 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Freshsales ⇄ Oracle DB
    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 Oracle DB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Freshsales and Oracle DB integration FAQ

SECURITY

Security teams love 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 386 integrations available for Freshsales and Oracle DB.

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