Real-time
Two-way sync
Changes in Aircall or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Communications ⇄ Database
Aircall to Jdbc integration — real-time, two-way sync
Keep Aircall and Jdbc in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Aircall and Jdbc
Turn the messages, calls, and events Aircall handles into live rows in Jdbc, and write back to trigger new outbound communication, with both sides in sync in seconds.
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 Jdbc next to everything else.
Stacksync mirrors Teams, Messages (SMS/MMS), Webhooks, Contacts from Aircall into Primary keys & indexes, Schemas & catalogs, Stored procedures & functions, Sequences in Jdbc 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.
Common use cases
- 01 Send outbound SMS/MMS through the Messages API when a CRM or database record changes (appointment reminders, alerts) and write inbound replies back.
- 02 Sync Tags and call dispositions onto matching CRM records as call outcomes so RevOps can report on conversation activity.
- 03 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
- 04 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
Common sync patterns
Communication history as database rows
Every message, call, or event Aircall records becomes rows in Jdbc, ready to query, join with your own data, and report on without touching the vendor API.
Trigger outbound communication from the database
Write a row to a synced table in Jdbc and Stacksync propagates it into Aircall, so your code sends the message, places the call, or schedules the meeting without integration glue.
One contact list across both
Recipients and contacts stay consistent between Aircall and Jdbc, so a phone number or email corrected on either side is current the next time either system uses it.
What you can sync between Aircall and Jdbc
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 | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| Tags Call tags with name and color; full CRUD, applied to calls for disposition and outcome reporting in the CRM or warehouse. | Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Tags is specific to Aircall and Tables to Jdbc — 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. | Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Teams is specific to Aircall and Views to Jdbc — 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. | Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Messages (SMS/MMS) is specific to Aircall and Columns to Jdbc — 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. | Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | Webhooks is specific to Aircall and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side. | |
| 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. | Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Contacts is specific to Aircall and Schemas & catalogs to Jdbc — 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. | Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Calls is specific to Aircall and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side. |
How changes propagate between Aircall and Jdbc
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.
Aircall Jdbc Sub-second propagation
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 Jdbc as a row-level write, with types converted between the two schemas.
Jdbc Aircall Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Aircall through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Aircall: 60 requests per minute per company by default (120/min for Advanced Messaging customers); responses carry X-AircallApi-Limit, X-AircallApi-Remaining, and X-AircallApi-Reset headers.
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Aircall ⇄ Jdbc
Connect Aircall and Jdbc for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aircall–Jdbc connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aircall or Jdbc 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 Aircall or Jdbc record.
Observability
Monitoring
Track your Aircall ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Aircall and Jdbc.
How the Aircall and Jdbc connectors work
Aircall
- Integration surface
- 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
- Change detection
- Webhooks (POST /v1/webhooks) for call, contact, user, message, and number events; historical pulls via list endpoints paged with from/to timestamps and order
- Capabilities
- read · write · webhooks
- Rate limits
- 60 requests per minute per company by default (120/min for Advanced Messaging customers); responses carry X-AircallApi-Limit, X-AircallApi-Remaining, and X-AircallApi-Reset headers
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works
How to connect Aircall to Jdbc — 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.
- 01
Connect your apps
Authenticate Aircall and Jdbc with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Aircall
connected
Jdbc
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aircall and Jdbc 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.
objects · Aircall ⇄ JdbcCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Aircall JdbcCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aircall and Jdbc integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Aircall and Jdbc: authenticate both systems, choose the objects to sync (such as Aircall's Tags and Teams), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Aircall and Jdbc: Communication history as database rows; Trigger outbound communication from the database; One contact list across both. Every message, call, or event Aircall records becomes rows in Jdbc, ready to query, join with your own data, and report on without touching the vendor API.
-
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. Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. Stacksync manages authentication, retries, and rate limits on both sides.
-
Aircall: Calls are read-oriented: the call record cannot be created or edited, but you can add tags, comments, and insight cards, transfer, archive, and control recording; genuine writes live in Contacts, Users, Tags, Teams, and Messages. Jdbc: There is no native change feed - incremental sync needs a cursor column (an updated_at timestamp or an auto-incrementing key), and detecting deletes requires soft-delete flags or triggers because a plain SELECT cannot see removed rows. Stacksync's field mapping accounts for these differences between Aircall and Jdbc 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 Jdbc records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aircall and Jdbc connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aircall–Jdbc integration in-house.
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
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 335 integrations available for Aircall and Jdbc.
Popular · 7 of 335
-
Aircall ⇄ VoltDB -
Aircall ⇄ YugabyteDB -
Aircall ⇄ Amazon DynamoDB -
Aircall ⇄ Reltio -
Jdbc ⇄ Zoom - Jdbc ⇄ Amazon SES
-
Jdbc ⇄ Infobip
No integrations match .
