Two-way sync
Changes in Pigment or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Pigment and SQL Server 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 Data imports, Users and permissions, Applications, Metrics from Pigment into Views, Columns, Primary and Unique Keys, CDC Change Tables in SQL Server and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against SQL Server, and rows your code writes or updates flow back into Pigment with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on SQL Server; Stacksync handles the API calls, rate limits, and retries against Pigment.
Updates written to the synced tables in SQL Server propagate into Pigment, so automations can create or correct finance records without custom integration code.
Changes in Pigment appear in SQL Server as row changes, so you can trigger downstream logic with the database tooling you already use.
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.
| Pigment objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Tables Row-based transactional data loaded into models from source systems | Tables The primary sync target; rows map to records in connected systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Applications Planning models organized by domain such as finance, sales, or workforce | Databases Instance-level databases that scope a sync's reads and writes. | Applications is specific to Pigment and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| Metrics Multidimensional values holding plans and actuals; the main target for inbound data | Schemas Namespaces (dbo and custom) used to organize synced tables. | Metrics is specific to Pigment and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Dimension lists Master data like accounts, products, or employees that metrics are sliced by | Views Read-side projections used as outbound sync sources. | Dimension lists is specific to Pigment and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | Columns Field-level mapping targets with T-SQL types. | Scenarios is specific to Pigment and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Data imports is specific to Pigment and Primary and Unique Keys to SQL Server — 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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Pigment through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pigment–SQL Server connection.
Changes in Pigment or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Pigment or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Pigment or SQL Server record.
Track your Pigment ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Pigment and SQL Server.
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 Pigment and SQL Server 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 Pigment and SQL Server 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 Pigment and SQL Server: authenticate both systems, choose the objects to sync (such as Pigment's Tables and Applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Pigment side: Data imports, Users and permissions, Applications, Metrics, plus custom fields where Pigment exposes them. On the SQL Server side: Views, Columns, Primary and Unique Keys, CDC Change Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Pigment and SQL Server: Internal tools without API plumbing; Write back safely; React to financial events. Build dashboards and back-office tools directly on SQL Server; Stacksync handles the API calls, rate limits, and retries against Pigment.
Pigment: REST-based import and export API. Authentication: API keys, issued separately for import and export. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Pigment: Scenario versioning (budget versus forecast versus actuals) is native to the model, so exports need a scenario context to be meaningful. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Pigment and SQL Server without custom code.
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 444 integrations available for Pigment and SQL Server.