Two-way sync
Changes in Aircall or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Aircall and VoltDB 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 VoltDB next to everything else.
Stacksync mirrors Teams, Messages (SMS/MMS), Webhooks, Contacts from Aircall into Streams, Export Targets and Topics, Partitioned Tables, Replicated Tables in VoltDB 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 VoltDB 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 VoltDB, 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 VoltDB 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 | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Users is specific to Aircall and Replicated Tables to VoltDB — 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. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Numbers is specific to Aircall and Stored Procedures to VoltDB — 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. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | Tags is specific to Aircall and Materialized Views to VoltDB — 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. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Teams is specific to Aircall and Streams to VoltDB — each maps to any object or custom field on the other side. | |
| Messages (SMS/MMS) Text messages tied to a number and contact; send outbound SMS/MMS through the API and read inbound messages delivered via webhook events. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | Messages (SMS/MMS) is specific to Aircall and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side. | |
| Webhooks Event subscriptions for call, contact, user, message, and number events; full CRUD, the mechanism for near-real-time change delivery to Stacksync. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Webhooks is specific to Aircall and Partitioned Tables to VoltDB — 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 VoltDB as a row-level write, with types converted between the two schemas.
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
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–VoltDB connection.
Changes in Aircall or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aircall or VoltDB 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 VoltDB record.
Track your Aircall ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aircall and VoltDB.
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 VoltDB 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 VoltDB 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 VoltDB: authenticate both systems, choose the objects to sync (such as Aircall's Users and Numbers), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Aircall side: Teams, Messages (SMS/MMS), Webhooks, Contacts, plus custom fields where Aircall exposes them. On the VoltDB side: Streams, Export Targets and Topics, Partitioned Tables, Replicated Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Aircall and VoltDB: Trigger outbound communication from the database; One contact list across both; React to activity as it happens. Write a row to a synced table in VoltDB and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
Aircall: REST API (Aircall Public API v1, https://api.aircall.io/v1). Authentication: HTTP Basic auth (base64 api_id:api_token) for single-account integrations, or OAuth 2.0 authorization_code flow for multi-tenant Technology Partner apps. VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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. VoltDB: Transactions execute as stored procedures run serially within each partition, which removes locking for single-partition work. Stacksync's field mapping accounts for these differences between Aircall and VoltDB without custom code.
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.
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Every pair below is a real-time, two-way sync. Search all 349 integrations available for Aircall and VoltDB.