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Database ⇄ CRM

Amazon DynamoDB to SAP Sales Cloud integration — real-time, two-way sync

Keep Amazon DynamoDB and SAP Sales Cloud 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 Amazon DynamoDB and SAP Sales Cloud

Treat SAP Sales Cloud like part of your database: its records live in Amazon DynamoDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Amazon DynamoDB, where it can be queried and joined like everything else.

Stacksync mirrors Sales Orders, Activities, Products, Service Tickets from SAP Sales Cloud into Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams in Amazon DynamoDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in SAP Sales Cloud with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • 01 Push product and pricing masters from the ERP into the CRM so quotes reference current data.
  • 02 Write leads captured in web forms or enrichment pipelines directly into the CRM.
  • 03 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 04 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.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from SAP Sales Cloud become tables in Amazon DynamoDB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Amazon DynamoDB sync onto the matching records in SAP Sales Cloud, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the SAP Sales Cloud API, limits, and retries.

What you can sync between Amazon DynamoDB and SAP Sales Cloud

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 SAP Sales Cloud objects How this pairing syncs
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. Opportunities Pipeline records read for forecasting and warehouse reporting. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Opportunities to SAP Sales Cloud — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Sales Quotes Quote documents often priced against ERP data and synced for order conversion. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Sales Quotes to SAP Sales Cloud — each maps to any object or custom field on the other side.
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. Sales Orders Order records exchanged with S/4HANA or ECC in lead-to-cash flows. DynamoDB Streams is specific to Amazon DynamoDB and Sales Orders to SAP Sales Cloud — 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. Activities Appointments, tasks, and calls exported for engagement reporting. Global Tables is specific to Amazon DynamoDB and Activities to SAP Sales Cloud — 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. Products Sellable item records typically mastered in the ERP and synced in. Time to Live (TTL) is specific to Amazon DynamoDB and Products to SAP Sales Cloud — 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. Service Tickets Service requests synced with support tools where service scope is used. Tables is specific to Amazon DynamoDB and Service Tickets to SAP Sales Cloud — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and SAP Sales Cloud

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 SAP Sales Cloud 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 SAP Sales Cloud through its API, with automatic retries and rate-limit backoff.

SAP Sales Cloud Amazon DynamoDB Sub-second propagation

DetectionSAP Sales Cloud notifies Stacksync of record changes through webhook events. Polling on last-changed timestamps.

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.
What ships with Amazon DynamoDB ⇄ SAP Sales Cloud

Connect Amazon DynamoDB and SAP Sales Cloud for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or SAP Sales Cloud 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 SAP Sales Cloud record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ SAP Sales Cloud 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 SAP Sales Cloud.

How the Amazon DynamoDB and SAP Sales Cloud 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.

SAP Sales Cloud

Integration surface
OData API (v2) plus SOAP web services
Authentication
Basic auth or OAuth 2.0 (SAML bearer assertion)
Change detection
Polling on last-changed timestamps; event notifications can push change signals to an external endpoint
Capabilities
read · write · webhooks
How it works

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

    Choose tables

    Pick the Amazon DynamoDB and SAP Sales Cloud 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 ⇄ SAP Sales Cloud
    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 SAP Sales Cloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon DynamoDB and SAP Sales Cloud 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 551 integrations available for Amazon DynamoDB and SAP Sales Cloud.

Popular · 8 of 551
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