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.
Connecting SuiteAnalytics to AWS Aurora PostgreSQL gives engineering teams SQL access to ERP data inside their own database. SuiteAnalytics Account records, Sales Tax Items, and all custom objects land as Aurora Tables and Rows that applications and internal tools can query directly.
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.
SuiteAnalytics Account and Tax Type records replicate into Aurora Tables for application queries without hitting the ERP directly.
all custom objects from SuiteAnalytics map to Aurora Tables with Columns and Primary keys maintained automatically.
SuiteAnalytics Billing Schedule Customer Subsidiary Relationship records sync to Aurora Views feeding finance tooling.
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Databases and schemas is specific to AWS Aurora PostgreSQL and Currency Rate to SuiteAnalytics — each maps to any object or custom field on the other side. | |
| 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. | Tables is specific to AWS Aurora PostgreSQL and Price Level to SuiteAnalytics — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Term Synced with incremental and full sync per the Stacksync docs. | Rows is specific to AWS Aurora PostgreSQL and Term to SuiteAnalytics — each maps to any object or custom field on the other side. | |
| 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. | Columns is specific to AWS Aurora PostgreSQL and Subsidiary to SuiteAnalytics — each maps to any object or custom field on the other side. | |
| 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. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and All custom objects to SuiteAnalytics — each maps to any object or custom field on the other side. | |
| 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. | Views and materialized views is specific to AWS Aurora PostgreSQL and Nexus to SuiteAnalytics — 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 PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliverySuiteAnalytics does not accept inbound record writes, so this direction carries requests rather than records: SuiteAnalytics's output flows back as field updates on the originating AWS Aurora PostgreSQL records.
DetectionStacksync polls SuiteAnalytics for changes on an incremental schedule, reading only records changed since the previous pass.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL 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 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: ERP data in Postgres; Custom object mirror; Billing relationship visibility. SuiteAnalytics Account and Tax Type records replicate into Aurora Tables for application queries without hitting the ERP directly.
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 334 integrations available for AWS Aurora PostgreSQL and SuiteAnalytics.