Connector Features

Built for teams who need reliable, auditable data pipelines.

Connector is a configuration-first integration engine built around version-controlled YAML. Our ETL specialists implement and operate your pipelines, with an optional enablement path for in-house teams.

Incremental sync

Only changed records are processed.

Change history

Every update is versioned automatically.

Schema-aware

Tables and views stay in sync.

Enterprise ready

Monitoring, alerts, and scheduling.

How Connector fits into your stack

A unified pipeline layer that sits between your data sources and destinations.

Sources
Salesforce
Salesforce CRM
Google Sheets
Google Sheets Spreadsheet
SQL Server
SQL Server Database
REST API API
More integrations Read examples
Connector
Extraction & Sync
Incremental fetch, CDC
Transformation
Mapping, type conversion
Validation & Load
Schema enforcement
Destinations
PostgreSQL
PostgreSQL Warehouse
MySQL Database
BI Tools Analytics
More integrations Read examples

Universal connectivity

Connect databases, CRMs, spreadsheets, file storage, and custom APIs without brittle one-off scripts. Connector handles authentication, refresh tokens, and session management for you.

  • Bi-directional sync for critical systems
  • Support for REST, SOAP, and webhooks
  • Built-in platform-specific connectors

Smart data transformation

Map fields, convert types, and apply business logic during transit. Keep sensitive data protected with pseudonymization rules and calculated fields.

  • Field mapping and reshaping
  • Type conversion and validation
  • GDPR-ready data masking

Historical tracking baked in

Maintain a complete audit trail with changelogs, effective dating, and soft deletes. Answer "what did the data look like on date X?" instantly.

  • Point-in-time visibility
  • Automatic versioning
  • Compliance-ready retention

Intelligent synchronization

Connector detects differences, syncs incrementally, and resolves conflicts. Scale to millions of records with chunking and parallel processing.

  • Change data capture and diff detection
  • Configurable conflict rules
  • Dynamic chunk sizing

Everything you need to run in production

Operational features that keep data moving and stakeholders informed.

Schema management

Auto-create tables, inspect schemas, and manage indexes.

Data quality checks

Validation rules, deduplication alerts, and warnings.

Monitoring dashboard

Track job status, performance, and historical runs.

Scheduling

Cron-compatible scheduling and event hooks.

Extensible platform

Plugin architecture for custom connectors and logic.

Secure by design

Credential management and encryption baked in.

No vendor lock-in. You own the logic.

Your business rules live in readable, version-controlled YAML. Aircury can implement it for you or enable your team to operate it in-house.

source:
  url: 'googlesheets:https://docs.google.com/spreadsheets/d'
  model:
    tables:
      customer_data:
        resourceName: 'Customers Sheet'
        columns:
          customer_name: string
          email: string
          signup_date: date

target:
  url: 'psql://user:password@localhost/mydb'
  model:
    tables:
      customers:
        inherit: '@source.tables.customer_data'
        mapFields:
          customer_name: full_name

Want the full feature walkthrough?

Talk to our data engineers and see how Connector fits your systems.

Ideal for teams looking for managed integration delivery with optional enablement.