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Database ⇄ ERP

Amazon DynamoDB to SuiteAnalytics integration — real-time data sync

Keep Amazon DynamoDB 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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Why teams connect Amazon DynamoDB and SuiteAnalytics

Give your engineers SuiteAnalytics's data in Amazon DynamoDB: 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 Amazon DynamoDB, so Amazon DynamoDB 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 Term, Subsidiary, All custom objects, Nexus from SuiteAnalytics into Amazon DynamoDB 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 Amazon DynamoDB sync back into SuiteAnalytics with its validations respected.

Common use cases

  • 01 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 02 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 03 Join ERP data with CRM data in Postgres for quote-to-cash and revenue visibility
  • 04 Give internal tools a read replica of item and inventory data without hitting SuiteScript governance limits

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the SuiteAnalytics interface, limits, and retries.

React to ERP changes

Updates in SuiteAnalytics arrive as row changes in Amazon DynamoDB, so jobs and triggers can respond as the business record changes.

Where SuiteAnalytics is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.

What you can sync between Amazon DynamoDB 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.

Amazon DynamoDB objects SuiteAnalytics objects How this pairing syncs
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Subsidiary Synced with incremental and full sync per the Stacksync docs. DynamoDB Streams is specific to Amazon DynamoDB and Subsidiary to SuiteAnalytics — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. All custom objects Synced with incremental and full sync per the Stacksync docs. Global Tables is specific to Amazon DynamoDB and All custom objects to SuiteAnalytics — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Nexus Synced with incremental and full sync per the Stacksync docs. Time to Live (TTL) is specific to Amazon DynamoDB and Nexus to SuiteAnalytics — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Tax Type Synced with incremental and full sync per the Stacksync docs. Tables is specific to Amazon DynamoDB and Tax Type to SuiteAnalytics — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Sales Tax Item Synced with incremental and full sync per the Stacksync docs. Items is specific to Amazon DynamoDB and Sales Tax Item to SuiteAnalytics — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Billing Schedule Customer Subsidiary Relationship Synced with incremental and full sync per the Stacksync docs. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Billing Schedule Customer Subsidiary Relationship to SuiteAnalytics — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB 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.

Amazon DynamoDB SuiteAnalytics Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

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 Amazon DynamoDB records.

SuiteAnalytics Amazon DynamoDB 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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • SuiteAnalytics: Concurrency and query load are governed by the NetSuite account's Connect service allowances rather than per-request rate limits.
What ships with Amazon DynamoDB ⇄ SuiteAnalytics

Connect Amazon DynamoDB and SuiteAnalytics for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–SuiteAnalytics connection.

Real-time

Real-time sync

Changes in Amazon DynamoDB or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB 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 Amazon DynamoDB or SuiteAnalytics record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ SuiteAnalytics sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and SuiteAnalytics.

How the Amazon DynamoDB and SuiteAnalytics connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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
SuiteAnalytics setup guide
How it works

How to connect Amazon DynamoDB 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.

  1. 01

    Connect your apps

    Authenticate Amazon DynamoDB 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon DynamoDB connected
    SuiteAnalytics connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon DynamoDB ⇄ SuiteAnalytics
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon DynamoDB SuiteAnalytics
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and SuiteAnalytics integration FAQ

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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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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 420 integrations available for Amazon DynamoDB and SuiteAnalytics.

Popular · 5 of 420
All Amazon DynamoDB integrations All SuiteAnalytics integrations Browse all integrations
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