Skip to content
Database ⇄ Business productivity

Amazon DynamoDB to Servicemax integration — real-time, two-way sync

Keep Amazon DynamoDB and Servicemax in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon DynamoDB and Servicemax

Mirror Servicemax's data into Amazon DynamoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Servicemax 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 Amazon DynamoDB.

Stacksync mirrors Work Orders, Work Details, Installed Products, Service Contracts from Servicemax into Local secondary indexes (LSIs), DynamoDB Streams, Global Tables, Time to Live (TTL) in Amazon DynamoDB 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 Servicemax, so the tool and the database never disagree.

Common use cases

  • 01 Keep Installed Products (SVMXC__Installed_Product__c) aligned with an asset or IoT database for warranty, entitlement, and service-history reporting.
  • 02 Consolidate Service Contracts and entitlement data into a warehouse for renewal forecasting and SLA compliance dashboards.
  • 03 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 04 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.

Common sync patterns

Read Servicemax with a query

Records from Servicemax are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.

Automate Servicemax from your codebase

Write to the synced tables in Amazon DynamoDB and Stacksync propagates the change into Servicemax, replacing custom integration code.

React to changes as they happen

Updates in Servicemax arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.

What you can sync between Amazon DynamoDB and Servicemax

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 Servicemax 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. Products Standard Salesforce Product2; catalog of serviceable products and spare parts referenced by Installed Products and Work Details. DynamoDB Streams is specific to Amazon DynamoDB and Products to Servicemax — 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. Work Orders SVMXC__Service_Order__c; the core field-service job record for install, repair, and maintenance; synced two-way with databases and pushed to ERPs at close. Global Tables is specific to Amazon DynamoDB and Work Orders to Servicemax — 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. Work Details SVMXC__Service_Order_Line__c; line items on a Work Order for labor, parts used, and expenses; read out for billing or written back with usage. Time to Live (TTL) is specific to Amazon DynamoDB and Work Details to Servicemax — 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. Installed Products SVMXC__Installed_Product__c; the installed-base asset record driving entitlement and service history; synced with asset and IoT databases. Tables is specific to Amazon DynamoDB and Installed Products to Servicemax — 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. Service Contracts SVMXC__Service_Contract__c; coverage and entitlement agreements; synced to warehouses for renewal, SLA, and warranty reporting. Items is specific to Amazon DynamoDB and Service Contracts to Servicemax — 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. Stock History SVMXC__Stock_History__c; append-only log of inventory transactions (RMA, shipment, parts receipt); read out for parts and inventory analytics. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Stock History to Servicemax — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Servicemax

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 Servicemax 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.

DeliveryEach detected change is written to Servicemax through its API, with automatic retries and rate-limit backoff.

Servicemax Amazon DynamoDB Sub-second propagation

DetectionChanges in Servicemax are captured at the source via change data capture — no polling loop against its API. Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object.

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.
  • Servicemax: Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count.
What ships with Amazon DynamoDB ⇄ Servicemax

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Servicemax 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 Servicemax record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Servicemax 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 Servicemax.

How the Amazon DynamoDB and Servicemax 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.

Servicemax

Integration surface
Salesforce REST, SOAP, and Bulk APIs (ServiceMax is a managed package on the Salesforce platform)
Authentication
Salesforce OAuth login via a user with API access; the connecting profile needs object and field permissions on ServiceMax's SVMXC__ objects
Change detection
Salesforce mechanisms — Apex triggers or polling on SystemModstamp/LastModifiedDate, with Change Data Capture / Platform Events available per object where enabled
Capabilities
read · write · CDC
Rate limits
Governed by the Salesforce org-wide daily API request allocation, shared across all integrations and scaled by edition and license count
How it works

How to connect Amazon DynamoDB to Servicemax — 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 Servicemax 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
    Servicemax connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and Servicemax 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 ⇄ Servicemax
    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 Servicemax
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon DynamoDB and Servicemax integration FAQ

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ 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:

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 543 integrations available for Amazon DynamoDB and Servicemax.

Popular · 8 of 543
All Amazon DynamoDB integrations All Servicemax integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own