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Database ⇄ CRM

Amazon DynamoDB to ZoomInfo integration — real-time data sync

Keep Amazon DynamoDB and ZoomInfo 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 ZoomInfo

Treat ZoomInfo 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.

ZoomInfo 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 ZoomInfo — without exports, scripts, or schedulers.

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.

Common use cases

  • 01 Fill gaps in new lead records (email, phone, company size) as they enter the CRM.
  • 02 Feed technographic data into territory plans or scoring models in a warehouse.
  • 03 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.
  • 04 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from ZoomInfo 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 ZoomInfo, 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 ZoomInfo API, limits, and retries.

What you can sync between Amazon DynamoDB and ZoomInfo

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 ZoomInfo 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. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Company Hierarchies to ZoomInfo — 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. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Company Profiles to ZoomInfo — 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. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts. DynamoDB Streams is specific to Amazon DynamoDB and Contact Profiles to ZoomInfo — 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. Intent Signals Company-level topic scores indicating in-market buying behavior. Global Tables is specific to Amazon DynamoDB and Intent Signals to ZoomInfo — 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. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects. Time to Live (TTL) is specific to Amazon DynamoDB and Scoops to ZoomInfo — 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. Technographics Technology install data per company, used for segmentation and territory planning. Tables is specific to Amazon DynamoDB and Technographics to ZoomInfo — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and ZoomInfo

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 ZoomInfo 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.

DeliveryZoomInfo does not accept inbound record writes, so this direction carries requests rather than records: ZoomInfo's output flows back as field updates on the originating Amazon DynamoDB records.

ZoomInfo Amazon DynamoDB Interval-based propagation

DetectionStacksync polls ZoomInfo for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled re-enrichment and polling.

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.
  • ZoomInfo: Usage is metered by credits and contract-based limits rather than a single public rate limit.
What ships with Amazon DynamoDB ⇄ ZoomInfo

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or ZoomInfo 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 ZoomInfo record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ ZoomInfo 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 ZoomInfo.

How the Amazon DynamoDB and ZoomInfo 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.

ZoomInfo

Integration surface
REST API organized around search and enrich endpoints
Authentication
API credentials exchanged for a short-lived JWT
Change detection
Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream
Capabilities
read
Rate limits
Usage is metered by credits and contract-based limits rather than a single public rate limit.
How it works

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

    Choose tables

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

Amazon DynamoDB and ZoomInfo 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 468 integrations available for Amazon DynamoDB and ZoomInfo.

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