Two-way sync
Changes in AWS Aurora PostgreSQL or Full Enrich instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Full Enrich 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 Full Enrich 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 Enrichment results, Emails, Phone numbers, Credits from Full Enrich into Tables, Rows, Columns, Primary keys and constraints 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 Full Enrich, so the tool and the database never disagree.
Records from Full Enrich 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 Full Enrich, replacing custom integration code.
Updates in Full Enrich arrive as row changes in AWS Aurora PostgreSQL, 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.
| AWS Aurora PostgreSQL objects | Full Enrich objects | |
|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Emails Returned addresses with verification status, written back to the CRM or database. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Phone numbers Returned mobile and direct-dial numbers from the provider waterfall. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Credits Account balance consumed on successful finds; monitored to pace sync jobs. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Enrichment requests Submitted batches of contacts to enrich; processed asynchronously by the waterfall. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Contacts The person inputs (name plus company or domain) sent for enrichment. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Enrichment results Completed records fetched by request ID or delivered via webhook. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Full Enrich connection.
Changes in AWS Aurora PostgreSQL or Full Enrich instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Full Enrich 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 Full Enrich record.
Track your AWS Aurora PostgreSQL ⇄ Full Enrich sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Full Enrich.
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 Full Enrich 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 Full Enrich 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 Full Enrich: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Full Enrich: Read Full Enrich with a query; Automate Full Enrich from your codebase; React to changes as they happen. Records from Full Enrich are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Full Enrich: REST API with asynchronous bulk enrichment endpoints. Authentication: API key (Bearer token). Stacksync manages authentication, retries, and rate limits on both sides.
Full Enrich: Enrichment is asynchronous: batches are submitted, run through a waterfall of upstream data providers, and results arrive by webhook or a later fetch, so syncs must handle pending states. AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Full Enrich 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 AWS Aurora PostgreSQL and Full Enrich records are not retained after a sync operation.
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 Full Enrich.