Two-way sync
Changes in AWS Aurora MySQL or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 AWS Aurora MySQL.
Stacksync mirrors Person (People), Relationship, CTA (Call to Action), Scorecard Fact from Gainsight into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL 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 AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Gainsight objects | How this pairing syncs | |
|---|---|---|---|
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | 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. | Columns is specific to AWS Aurora MySQL and Relationship to Gainsight — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | 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. | Primary keys and indexes is specific to AWS Aurora MySQL and CTA (Call to Action) to Gainsight — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. | Views is specific to AWS Aurora MySQL and Scorecard Fact to Gainsight — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. | Foreign keys is specific to AWS Aurora MySQL and Timeline Activity to Gainsight — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Stored procedures and triggers is specific to AWS Aurora MySQL and Success Plan to Gainsight — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Databases (schemas) is specific to AWS Aurora MySQL and Task and Playbook 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 AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Gainsight connection.
Changes in AWS Aurora MySQL or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Gainsight record.
Track your AWS Aurora MySQL ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL and Gainsight: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Columns and Primary keys and indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Gainsight side: Person (People), Relationship, CTA (Call to Action), Scorecard Fact, plus custom fields where Gainsight exposes them. On the AWS Aurora MySQL side: Foreign keys, Stored procedures and triggers, Databases (schemas), 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 AWS Aurora MySQL 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.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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.
Gainsight: Large backfills should use the asynchronous Bulk API (CSV insert/update), which is limited to 10 calls/hour and 100/day, rather than the synchronous per-object REST endpoints. AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Gainsight 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 455 integrations available for AWS Aurora MySQL and Gainsight.