Two-way sync
Changes in Amazon DynamoDB or Lemlist instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon DynamoDB and Lemlist in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Lemlist 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 Leads, Activities, Unsubscribes, Webhooks from Lemlist into DynamoDB Streams, Global Tables, Time to Live (TTL), Tables 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 Lemlist, so the tool and the database never disagree.
Updates in Lemlist arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Lemlist are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
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 | Lemlist objects | How this pairing syncs | |
|---|---|---|---|
| Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. | Webhooks Hook subscriptions define which activity events are pushed to external endpoints. | Time to Live (TTL) is specific to Amazon DynamoDB and Webhooks to Lemlist — 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. | Team Members Sender and seat records map outreach activity to reps in other systems. | Tables is specific to Amazon DynamoDB and Team Members to Lemlist — 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. | Campaigns Outreach campaigns are the container leads are pushed into from CRMs and list-building workflows. | Items is specific to Amazon DynamoDB and Campaigns to Lemlist — 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. | Leads Per-campaign prospect records sync in from enrichment sources and back out with status. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Leads to Lemlist — 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. | Activities Engagement records such as opens, clicks, replies, and bounces sync to CRM timelines. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Activities to Lemlist — 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. | Unsubscribes Opt-out records propagate to other outreach tools and the CRM for compliance. | DynamoDB Streams is specific to Amazon DynamoDB and Unsubscribes to Lemlist — each maps to any object or custom field on the other side. |
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.
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 Lemlist through its API, with automatic retries and rate-limit backoff.
DetectionLemlist notifies Stacksync of record changes through webhook events. Webhooks on outreach activity events, plus polling.
DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Lemlist connection.
Changes in Amazon DynamoDB or Lemlist instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon DynamoDB or Lemlist data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon DynamoDB or Lemlist record.
Track your Amazon DynamoDB ⇄ Lemlist sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Lemlist.
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.
Authenticate Amazon DynamoDB and Lemlist with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon DynamoDB and Lemlist 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon DynamoDB and Lemlist: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's Time to Live (TTL) and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon DynamoDB and Lemlist records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon DynamoDB and Lemlist connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon DynamoDB–Lemlist integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon DynamoDB and Lemlist. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon DynamoDB: 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. On Lemlist: Webhooks on outreach activity events, plus polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Lemlist side: Leads, Activities, Unsubscribes, Webhooks, plus custom fields where Lemlist exposes them. On the Amazon DynamoDB side: DynamoDB Streams, Global Tables, Time to Live (TTL), Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 423 integrations available for Amazon DynamoDB and Lemlist.