Two-way sync
Changes in Gainsight or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Gainsight and TimescaleDB 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 TimescaleDB.
Stacksync mirrors Custom Objects, Company, Person (People), Relationship from Gainsight into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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.
Records from Gainsight are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Gainsight, replacing custom integration code.
Updates in Gainsight arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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.
| Gainsight objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Views Standard SQL views used to shape or filter data for consumers. | Custom Objects is specific to Gainsight and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Company is specific to Gainsight and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person records. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Person (People) is specific to Gainsight and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Relationship is specific to Gainsight and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | CTA (Call to Action) is specific to Gainsight and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Scorecard Fact is specific to Gainsight and Regular PostgreSQL Tables to TimescaleDB — 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 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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Gainsight through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–TimescaleDB connection.
Changes in Gainsight or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gainsight or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gainsight or TimescaleDB record.
Track your Gainsight ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gainsight and TimescaleDB.
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 Gainsight and TimescaleDB 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 Gainsight and TimescaleDB 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 Gainsight and TimescaleDB: authenticate both systems, choose the objects to sync (such as Gainsight's Custom Objects and Company), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection 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. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gainsight side: Custom Objects, Company, Person (People), Relationship, plus custom fields where Gainsight exposes them. On the TimescaleDB side: Regular PostgreSQL Tables, Views, Schemas, Hypertables. 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 Gainsight and TimescaleDB: Read Gainsight with a query; Automate Gainsight from your codebase; React to changes as they happen. Records from Gainsight are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. 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 434 integrations available for Gainsight and TimescaleDB.