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Database ⇄ CRM

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

Keep Oracle DB 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

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Why teams connect Oracle DB and Vitally

Treat Vitally 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 Account, User, Organization, Task from Vitally into Sequences, PL/SQL procedures and packages, Partitions, JSON columns in Oracle DB 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 Sync account health scores and lifecycle stages from Vitally into a CRM so sales sees churn risk before renewals.
  • 02 Mirror product-usage traits and NPS responses into a warehouse for retention and expansion reporting.
  • 03 Log-based replication of order and inventory tables into an analytics warehouse instead of nightly batch dumps.
  • 04 Expose a curated subset of an on-prem Oracle ERP schema to cloud tools by syncing it to a managed Postgres.

Common sync patterns

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 Oracle DB, ready to drive jobs and notifications.

Query the CRM like a database

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

What you can sync between Oracle DB 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.

Oracle DB objects Vitally objects How this pairing syncs
JSON columns Document data stored in the converged engine and synced alongside relational rows Custom Trait Custom account and user traits for segmentation. JSON columns is specific to Oracle DB and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Tables The primary read/write surface for row-level sync over SQL Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Tables is specific to Oracle DB and Account to Vitally — each maps to any object or custom field on the other side.
Views Curated read-only projections exposed to downstream consumers User End users tied to accounts, including activity and custom traits. Views is specific to Oracle DB and User to Vitally — each maps to any object or custom field on the other side.
Materialized views Precomputed results occasionally used as stable replication sources Organization Parent organizations for hierarchical B2B account structures. Materialized views is specific to Oracle DB and Organization to Vitally — each maps to any object or custom field on the other side.
Schemas Per-user namespaces that scope sync permissions and object visibility Task CS tasks and follow-ups, readable and writable for workflow sync. Schemas is specific to Oracle DB and Task to Vitally — each maps to any object or custom field on the other side.
Sequences Key generators to respect when external systems insert rows Note Account and user notes captured by success teams. Sequences is specific to Oracle DB and Note to Vitally — each maps to any object or custom field on the other side.

How changes propagate between Oracle DB 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.

Oracle DB Vitally Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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

Vitally Oracle DB Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

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

Rate-limit considerations

  • Oracle DB: Throughput bounded by database resources rather than API quotas.
  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Oracle DB ⇄ Vitally

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Oracle DB 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 Oracle DB or Vitally record.

Observability

Monitoring

Track your Oracle DB ⇄ Vitally sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Oracle DB and Vitally.

How the Oracle DB and Vitally connectors work

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

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 Oracle DB 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.

  1. 01

    Connect your apps

    Authenticate Oracle DB 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.

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

    Choose tables

    Pick the Oracle DB 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.

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

Oracle DB and Vitally 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 Oracle DB and Vitally.

Popular · 8 of 390
All Oracle DB integrations All Vitally integrations Browse all integrations
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