Real-time sync
Changes in AWS Aurora PostgreSQL or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and SuiteAnalytics in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SuiteAnalytics is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora PostgreSQL, so AWS Aurora PostgreSQL always reflects the current state of SuiteAnalytics — without exports, scripts, or schedulers.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Accounting Period, Bin Transfer, Currency Rate, Price Level from SuiteAnalytics into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever SuiteAnalytics is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora PostgreSQL sync back into SuiteAnalytics with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the SuiteAnalytics interface, limits, and retries.
Updates in SuiteAnalytics arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.
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 PostgreSQL objects | SuiteAnalytics objects | |
|---|---|---|
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Currency Rate Synced with incremental and full sync per the Stacksync docs. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Price Level Synced with incremental and full sync per the Stacksync docs. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Term Synced with incremental and full sync per the Stacksync docs. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Subsidiary Synced with incremental and full sync per the Stacksync docs. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | All custom objects Synced with incremental and full sync per the Stacksync docs. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Nexus Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–SuiteAnalytics connection.
Changes in AWS Aurora PostgreSQL or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or SuiteAnalytics 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 PostgreSQL or SuiteAnalytics record.
Track your AWS Aurora PostgreSQL ⇄ SuiteAnalytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and SuiteAnalytics.
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 PostgreSQL and SuiteAnalytics 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 PostgreSQL and SuiteAnalytics 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 integration between AWS Aurora PostgreSQL and SuiteAnalytics — SuiteAnalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On SuiteAnalytics: Not stated in the docs. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS Aurora PostgreSQL side: Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications, plus custom fields where AWS Aurora PostgreSQL exposes them. On the SuiteAnalytics side: Accounting Period, Bin Transfer, Currency Rate, Price Level. Stacksync auto-detects both schemas and converts types between the two systems.
SuiteAnalytics is a read-only source, so this integration runs one-way: Stacksync reads from SuiteAnalytics in real time and delivers into AWS Aurora PostgreSQL. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for AWS Aurora PostgreSQL and SuiteAnalytics: Internal tools and automations without API code; React to ERP changes; Where SuiteAnalytics is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the SuiteAnalytics interface, limits, and retries.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. SuiteAnalytics: SQL over ODBC, JDBC, and ADO.NET (SuiteAnalytics Connect). Authentication: NetSuite Token-Based Authentication: create an integration record (Consumer ID + Consumer Secret), an access token (Token ID + Token Secret), a role with SuiteAnalytics Connect and SuiteAnalytics Connect - Read All. 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 386 integrations available for AWS Aurora PostgreSQL and SuiteAnalytics.