Real-time sync
Changes in Amazon RDS or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and BetterContact in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into Amazon RDS, so Amazon RDS always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Engineers integrate with tools like BetterContact 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 Amazon RDS.
Stacksync mirrors Enriched Contact, Company, Lead Finder Search, Enrichment Request from BetterContact into Primary and Unique Keys, Read Replicas, Stored Procedures, Databases in Amazon RDS 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 BetterContact, so the tool and the database never disagree.
Updates in BetterContact arrive as row changes in Amazon RDS, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from BetterContact are ordinary rows in Amazon RDS; join them, index them, and use them in application logic without touching the vendor API.
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.
| Amazon RDS objects | BetterContact objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to isolate synced tables. | Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Schemas is specific to Amazon RDS and Enrichment Request to BetterContact — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Tables is specific to Amazon RDS and Enriched Contact to BetterContact — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Views is specific to Amazon RDS and Company to BetterContact — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Columns is specific to Amazon RDS and Lead Finder Search to BetterContact — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Amazon RDS records.
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–BetterContact connection.
Changes in Amazon RDS or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or BetterContact data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or BetterContact record.
Track your Amazon RDS ⇄ BetterContact sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and BetterContact.
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 Amazon RDS and BetterContact 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 Amazon RDS and BetterContact 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 integration between Amazon RDS and BetterContact — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and BetterContact. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On BetterContact: Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the BetterContact side: Enriched Contact, Company, Lead Finder Search, Enrichment Request, plus custom fields where BetterContact exposes them. On the Amazon RDS side: Primary and Unique Keys, Read Replicas, Stored Procedures, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
BetterContact is a read-only source, so this integration runs one-way: Stacksync reads from BetterContact in real time and delivers into Amazon RDS. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon RDS and BetterContact: React to changes as they happen; One integration pattern for the whole stack; Read BetterContact with a query. Updates in BetterContact arrive as row changes in Amazon RDS, so triggers, jobs, and services can respond in near real time.
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 390 integrations available for Amazon RDS and BetterContact.