Two-way sync
Changes in Aircall or Amazon DynamoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and Amazon DynamoDB 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 reach communications tools like Aircall through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in Amazon DynamoDB next to everything else.
Stacksync mirrors Numbers, Tags, Teams, Messages (SMS/MMS) from Aircall into Tables, Items, Global secondary indexes (GSIs), Local secondary indexes (LSIs) in Amazon DynamoDB and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Aircall so the tool and the database never disagree.
There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.
Write a row to a synced table in Amazon DynamoDB and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between Aircall and Amazon DynamoDB, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in Amazon DynamoDB as row changes, so triggers, jobs, and services can respond in near real time.
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.
| Aircall objects | Amazon DynamoDB objects | How this pairing syncs | |
|---|---|---|---|
| Contacts Shared and personal phone-book contacts with full CRUD plus search by phone number or email; the primary two-way object synced with CRM contacts for click-to-dial. | Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. | Contacts is specific to Aircall and Time to Live (TTL) to Amazon DynamoDB — each maps to any object or custom field on the other side. | |
| Calls Inbound and outbound call records with recording URL, duration, tags, comments, and metadata; the record itself is read-only, but you can add tags, comments, insight cards, transfer, archive, and control recording. | 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. | Calls is specific to Aircall and Tables to Amazon DynamoDB — each maps to any object or custom field on the other side. | |
| Users Agent seats with name, email, and availability; full CRUD to provision or deprovision seats and map Aircall agents to CRM, HR, or directory identities. | 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. | Users is specific to Aircall and Items to Amazon DynamoDB — each maps to any object or custom field on the other side. | |
| Numbers Provisioned phone numbers with settings, open hours, and IVR config; read and update to keep routing and business-hours data aligned across systems. | 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. | Numbers is specific to Aircall and Global secondary indexes (GSIs) to Amazon DynamoDB — each maps to any object or custom field on the other side. | |
| Tags Call tags with name and color; full CRUD, applied to calls for disposition and outcome reporting in the CRM or warehouse. | 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. | Tags is specific to Aircall and Local secondary indexes (LSIs) to Amazon DynamoDB — each maps to any object or custom field on the other side. | |
| Teams Groups of users for routing and reporting; create and delete teams and add or remove members to mirror org structure from an HR system or IdP. | 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. | Teams is specific to Aircall and DynamoDB Streams to Amazon DynamoDB — 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.
DetectionAircall notifies Stacksync of record changes through webhook events. Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events.
DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.
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 Aircall through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Amazon DynamoDB connection.
Changes in Aircall or Amazon DynamoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or Amazon DynamoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Aircall or Amazon DynamoDB record.
Track your Aircall ⇄ Amazon DynamoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and Amazon DynamoDB.
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 Aircall and Amazon DynamoDB 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 Aircall and Amazon DynamoDB 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 Aircall and Amazon DynamoDB: authenticate both systems, choose the objects to sync (such as Aircall's Contacts and Calls), map fields visually, and changes propagate both ways in milliseconds — no code required.
Aircall: Aircall automatically disables a webhook after 10 consecutive failed deliveries (a non-2xx response or a timeout after 5 seconds), so endpoints must acknowledge quickly and stay reachable. Amazon DynamoDB: Throughput is metered in capacity units (provisioned or on-demand): 1 WCU = one 1 KB write/second and 1 RCU = one strongly-consistent 4 KB read/second; breaching capacity returns ProvisionedThroughputExceededException and the request is throttled. Stacksync's field mapping accounts for these differences between Aircall and Amazon DynamoDB without custom code.
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 Aircall and Amazon DynamoDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and Amazon DynamoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–Amazon DynamoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Aircall and Amazon DynamoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Aircall: Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events; historical pulls via list endpoints paged with from/to timestamps and order. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 442 integrations available for Aircall and Amazon DynamoDB.