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Business productivity ⇄ Data warehouse

ConnectWise to Databricks integration — real-time, two-way sync

Keep ConnectWise and Databricks 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

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Why teams connect ConnectWise and Databricks

Get the data locked inside ConnectWise into Databricks as live tables, and send results back where ConnectWise can use them, without writing a pipeline.

Whatever ConnectWise is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Projects, Time Entries, Invoices, Configurations from ConnectWise into tables in Databricks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Databricks can also be written back into fields in ConnectWise where the tool can use them.

Common use cases

  • Keep configuration (asset) records aligned with an external CMDB or RMM tool.
  • Sync time entries to payroll or BI tools for utilization analysis across technicians.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.

Where ConnectWise accepts updates: operational write-back

Segments, scores, or reference values computed in Databricks sync back onto records in ConnectWise, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Databricks preserves a queryable record even as data ages out of ConnectWise or gets changed inside it.

Analytics on ConnectWise's data

Records and events from ConnectWise land in Databricks as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between ConnectWise and Databricks

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.

ConnectWise objects Databricks objects
Invoices Billing records reconciled against accounting systems. SQL Warehouses The compute endpoint a sync connects to for query execution.
Configurations Managed devices and assets tied to companies, useful for asset inventory syncs. Change Data Feed Row-level change records on Delta tables that drive incremental reads.
Members Internal users and technicians referenced by tickets and time entries. Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address.
Activities Sales and service activity records synced for engagement reporting. Schemas Group tables and views; syncs typically target a dedicated schema per source system.
Companies Client and prospect account records that anchor most other PSA data in a sync. Delta Tables The primary read and write target; operational data lands here as managed or external tables.
Contacts People attached to companies, commonly synced against CRM contact records. Views Curated read-only projections used as sync sources for downstream tools.
What ships with ConnectWise ⇄ Databricks

Connect ConnectWise and Databricks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ConnectWise–Databricks connection.

Real-time

Two-way sync

Changes in ConnectWise or Databricks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ConnectWise or Databricks 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 ConnectWise or Databricks record.

Observability

Monitoring

Track your ConnectWise ⇄ Databricks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between ConnectWise and Databricks.

How the ConnectWise and Databricks connectors work

ConnectWise

Integration surface
REST API
Authentication
Public/private API key pair for an API member, combined with a registered clientId, sent via Basic authentication
Change detection
Callbacks (webhooks) on record changes, supplemented by polling on last-updated fields
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits per company and integration

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
How it works

How to connect ConnectWise to Databricks — 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.

  1. 01

    Connect your apps

    Authenticate ConnectWise and Databricks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    ConnectWise connected
    Databricks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ConnectWise and Databricks 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · ConnectWise ⇄ Databricks
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    ConnectWise Databricks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ConnectWise and Databricks integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for ConnectWise and Databricks.

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