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CRM ⇄ Database

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

Keep Gladly 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 Gladly and Oracle DB

Treat Gladly 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 Topics, Tasks, Customer profiles, Conversations from Gladly into JSON columns, Tables, Views, Materialized views in Oracle DB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gladly 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

  • Sync Gladly customer profiles with an order database so agents see purchase history and profile updates flow back.
  • Mirror conversations and topics into a warehouse for CX analytics and staffing models.
  • 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.

Trigger workflows from CRM changes

Field and stage updates in Gladly arrive as row changes in Oracle DB, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Gladly 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 Gladly, giving go-to-market teams live product context.

What you can sync between Gladly 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.

Gladly objects Oracle DB objects
Tasks Follow-up work items created from external triggers or synced for workload reporting. PL/SQL procedures and packages In-database logic that can consume or transform synced data
Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. Partitions Physical subdivisions relevant when replicating high-volume tables
Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. JSON columns Document data stored in the converged engine and synced alongside relational rows
Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. Tables The primary read/write surface for row-level sync over SQL
Agents User records used to attribute work in CX analytics. Views Curated read-only projections exposed to downstream consumers
Topics Categorization applied to conversations; the key dimension for contact-driver reporting. Materialized views Precomputed results occasionally used as stable replication sources
What ships with Gladly ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gladly 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 Gladly or Oracle DB record.

Observability

Monitoring

Track your Gladly ⇄ 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 Gladly and Oracle DB.

How the Gladly and Oracle DB connectors work

Gladly

Integration surface
REST API
Authentication
API tokens used with basic authentication tied to an agent email
Change detection
Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits

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

    Choose tables

    Pick the Gladly 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 · Gladly ⇄ 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
    Gladly Oracle DB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Gladly 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.

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 386 integrations available for Gladly and Oracle DB.

Popular · 8 of 386
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