Two-way sync
Changes in AWS Aurora PostgreSQL or ConnectWise instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and ConnectWise 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 integrate with tools like ConnectWise through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.
Stacksync mirrors Members, Activities, Companies, Contacts from ConnectWise into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into ConnectWise, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from ConnectWise are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into ConnectWise, replacing custom integration code.
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.
| AWS Aurora PostgreSQL objects | ConnectWise objects | |
|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Contacts People attached to companies, commonly synced against CRM contact records. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Service Tickets Support and service desk tickets, including status, board, and priority fields. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Opportunities Sales pipeline records synced to CRMs for forecasting and handoff. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Agreements Recurring contracts and managed-service agreements used for billing reconciliation. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Projects Project and phase records synced for delivery tracking outside the PSA. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Time Entries Logged technician time, often exported for payroll and invoicing checks. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–ConnectWise connection.
Changes in AWS Aurora PostgreSQL or ConnectWise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or ConnectWise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or ConnectWise record.
Track your AWS Aurora PostgreSQL ⇄ ConnectWise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and ConnectWise.
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 AWS Aurora PostgreSQL and ConnectWise 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 AWS Aurora PostgreSQL and ConnectWise 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 AWS Aurora PostgreSQL and ConnectWise: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the ConnectWise side: Members, Activities, Companies, Contacts, plus custom fields where ConnectWise exposes them. On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, 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 AWS Aurora PostgreSQL and ConnectWise: One integration pattern for the whole stack; Read ConnectWise with a query; Automate ConnectWise from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. ConnectWise: REST API. Authentication: Public/private API key pair for an API member, combined with a registered clientId, sent via Basic authentication. Stacksync manages authentication, retries, and rate limits on both sides.
ConnectWise: List endpoints support a conditions query parameter for server-side filtering on field values, which reduces sync payloads. AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and ConnectWise 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and ConnectWise.