Two-way sync
Changes in Oracle DB or Pigment instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB and Pigment in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Dimension lists, Tables, Scenarios, Data imports from Pigment into Views, Materialized views, Schemas, Sequences in Oracle DB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Oracle DB, and rows your code writes or updates flow back into Pigment with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Pigment live in Oracle DB as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Oracle DB; Stacksync handles the API calls, rate limits, and retries against Pigment.
Updates written to the synced tables in Oracle DB propagate into Pigment, so automations can create or correct finance records without custom integration code.
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 | Pigment objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary read/write surface for row-level sync over SQL | Tables Row-based transactional data loaded into models from source systems | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Users and permissions Access controls governing which model areas a sync can touch | Schemas is specific to Oracle DB and Users and permissions to Pigment — each maps to any object or custom field on the other side. | |
| Sequences Key generators to respect when external systems insert rows | Applications Planning models organized by domain such as finance, sales, or workforce | Sequences is specific to Oracle DB and Applications to Pigment — each maps to any object or custom field on the other side. | |
| PL/SQL procedures and packages In-database logic that can consume or transform synced data | Metrics Multidimensional values holding plans and actuals; the main target for inbound data | PL/SQL procedures and packages is specific to Oracle DB and Metrics to Pigment — each maps to any object or custom field on the other side. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | Dimension lists Master data like accounts, products, or employees that metrics are sliced by | Partitions is specific to Oracle DB and Dimension lists to Pigment — each maps to any object or custom field on the other side. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | JSON columns is specific to Oracle DB and Scenarios to Pigment — each maps to any object or custom field on the other side. |
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.
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 Pigment through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Pigment for changes on an incremental schedule, reading only records changed since the previous pass. No change feed.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Pigment connection.
Changes in Oracle DB or Pigment instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB or Pigment data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Oracle DB or Pigment record.
Track your Oracle DB ⇄ Pigment sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB and Pigment.
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.
Authenticate Oracle DB and Pigment with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Oracle DB and Pigment 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Oracle DB and Pigment: authenticate both systems, choose the objects to sync (such as Oracle DB's Tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Oracle DB and Pigment: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Pigment live in Oracle DB as regular tables or collections your team can join, index, and query.
Oracle DB: 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. Pigment: REST-based import and export API. Authentication: API keys, issued separately for import and export. Stacksync manages authentication, retries, and rate limits on both sides.
Pigment: Actuals typically flow in from source systems on a schedule while plans and forecasts are edited inside Pigment, making it primarily a data destination. Oracle DB: Keys have traditionally come from sequences rather than auto-increment columns, though identity columns exist in newer releases. Stacksync's field mapping accounts for these differences between Oracle DB and Pigment without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Oracle DB and Pigment records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Oracle DB and Pigment connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Oracle DB–Pigment integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 363 integrations available for Oracle DB and Pigment.