Real-time
Real-time sync
Changes in AWS Aurora MySQL or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora MySQL to SuiteAnalytics integration — real-time data sync
Keep AWS Aurora MySQL 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora MySQL and SuiteAnalytics
Give your engineers SuiteAnalytics's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.
SuiteAnalytics is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL always reflects the current state of SuiteAnalytics — without exports, scripts, or schedulers.
Teams connect AWS Aurora MySQL to SuiteAnalytics to work with ERP records — Accounts, Sales Tax Items, Tax Types, and all custom objects — in a relational database they control. Mirroring ERP records into Aurora MySQL Tables lets engineering and finance query them with standard SQL and join them to application data.
Stacksync mirrors Term, Subsidiary, All custom objects, Nexus from SuiteAnalytics into AWS Aurora MySQL 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 MySQL sync back into SuiteAnalytics with its validations respected.
Common use cases
- 01 Join SuiteAnalytics Account and Sales Tax Item data with application records already in Aurora MySQL.
- 02 Build finance reporting Views in Aurora MySQL on top of replicated Billing Schedule Customer Subsidiary Relationship data.
- 03 Give developers SQL access to ERP custom objects without exporting from SuiteAnalytics.
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
ERP mirror in MySQL
SuiteAnalytics Account, Nexus, and Tax Type records sync into Aurora MySQL Tables with Primary keys and indexes for fast lookups.
Custom object extraction
all custom objects from SuiteAnalytics land as Rows in dedicated Aurora MySQL Tables for reporting and reconciliation.
Billing relationship access
Billing Schedule Customer Subsidiary Relationship records replicate to Aurora MySQL so internal tools read them without hitting the ERP.
What you can sync between AWS Aurora MySQL and SuiteAnalytics
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 | SuiteAnalytics objects | How this pairing syncs | |
|---|---|---|---|
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Account Synced with incremental and full sync per the Stacksync docs. | Columns is specific to AWS Aurora MySQL and Account to SuiteAnalytics — 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. | Accounting Period Synced with incremental and full sync per the Stacksync docs. | Primary keys and indexes is specific to AWS Aurora MySQL and Accounting Period to SuiteAnalytics — 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. | Bin Transfer Synced with incremental and full sync per the Stacksync docs. | Views is specific to AWS Aurora MySQL and Bin Transfer to SuiteAnalytics — 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. | Currency Rate Synced with incremental and full sync per the Stacksync docs. | Foreign keys is specific to AWS Aurora MySQL and Currency Rate to SuiteAnalytics — 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. | Price Level Synced with incremental and full sync per the Stacksync docs. | Stored procedures and triggers is specific to AWS Aurora MySQL and Price Level to SuiteAnalytics — 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. | Term Synced with incremental and full sync per the Stacksync docs. | Databases (schemas) is specific to AWS Aurora MySQL and Term to SuiteAnalytics — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and SuiteAnalytics
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.
AWS Aurora MySQL SuiteAnalytics Sub-second propagation
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.
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 MySQL records.
SuiteAnalytics AWS Aurora MySQL Interval-based propagation
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 MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SuiteAnalytics: Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits.
What ships with AWS Aurora MySQL ⇄ SuiteAnalytics
Connect AWS Aurora MySQL and SuiteAnalytics for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–SuiteAnalytics connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or SuiteAnalytics data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora MySQL or SuiteAnalytics record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ SuiteAnalytics sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and SuiteAnalytics.
How the AWS Aurora MySQL and SuiteAnalytics connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
SuiteAnalytics
- Integration surface
- 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
- Change detection
- Not stated in the docs
- Capabilities
- read
- Rate limits
- Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits
How it works
How to connect AWS Aurora MySQL to SuiteAnalytics — three steps, no code
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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
SuiteAnalytics
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ SuiteAnalyticsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora MySQL SuiteAnalyticsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and SuiteAnalytics integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between AWS Aurora MySQL 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.
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On the AWS Aurora MySQL side: Foreign keys, Stored procedures and triggers, Databases (schemas), Tables, plus custom fields where AWS Aurora MySQL exposes them. On the SuiteAnalytics side: Term, Subsidiary, All custom objects, Nexus. Stacksync auto-detects both schemas and converts types between the two systems.
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SuiteAnalytics is a read-only source, so this integration runs one-way: Stacksync reads from SuiteAnalytics in real time and delivers into AWS Aurora MySQL. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for AWS Aurora MySQL and SuiteAnalytics: ERP mirror in MySQL; Custom object extraction; Billing relationship access. SuiteAnalytics Account, Nexus, and Tax Type records sync into Aurora MySQL Tables with Primary keys and indexes for fast lookups.
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AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL 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.
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AWS Aurora MySQL: Aurora MySQL is wire-compatible with MySQL, so any standard MySQL driver, ORM, or CDC tooling works without modification. SuiteAnalytics: Setup requires an Administrator role (or a role with equivalent NetSuite permissions) to enable features and create tokens. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and SuiteAnalytics without custom code.
SECURITY
Security teams trust Stacksync
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.
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→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 334 integrations available for AWS Aurora MySQL and SuiteAnalytics.
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