Two-way sync
Changes in Azure SQL Database or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Gainsight 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 integrate with tools like Gainsight through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Azure SQL Database.
Stacksync mirrors CTA (Call to Action), Scorecard Fact, Timeline Activity, Success Plan from Gainsight into Tables, Views, Schemas, Rows and columns in Azure SQL Database and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gainsight, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Gainsight are ordinary rows in Azure SQL Database; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Azure SQL Database and Stacksync propagates the change into Gainsight, replacing 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.
| Azure SQL Database objects | Gainsight objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | CTA (Call to Action) Risk and expansion alerts that drive CSM plays; often synced to ticketing or project tools so follow-up work is tracked where teams operate. | Views is specific to Azure SQL Database and CTA (Call to Action) to Gainsight — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. | Schemas is specific to Azure SQL Database and Scorecard Fact to Gainsight — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. | Rows and columns is specific to Azure SQL Database and Timeline Activity to Gainsight — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Stored procedures is specific to Azure SQL Database and Success Plan to Gainsight — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Change tracking / CDC tables is specific to Azure SQL Database and Task and Playbook to Gainsight — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Tables is specific to Azure SQL Database and Custom Objects to Gainsight — 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 Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Gainsight through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.
DeliveryEach detected change is applied to Azure SQL Database as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Gainsight connection.
Changes in Azure SQL Database or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Gainsight data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or Gainsight record.
Track your Azure SQL Database ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Gainsight.
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 Azure SQL Database and Gainsight 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 Azure SQL Database and Gainsight 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 Azure SQL Database and Gainsight: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback. On Gainsight: Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gainsight side: CTA (Call to Action), Scorecard Fact, Timeline Activity, Success Plan, plus custom fields where Gainsight exposes them. On the Azure SQL Database side: Tables, Views, Schemas, Rows and columns. 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 Azure SQL Database and Gainsight: One integration pattern for the whole stack; Read Gainsight with a query; Automate Gainsight from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Gainsight: REST APIs (per-object) and asynchronous Bulk REST API. Authentication: API access key passed in the 'accesskey' request header (non-expiring), generated by a Gainsight admin; M2M OAuth (Client ID/Secret) is also supported. Stacksync manages authentication, retries, and rate limits on both sides.
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 448 integrations available for Azure SQL Database and Gainsight.