Real-time sync
Changes in Amazon Redshift or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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 Redshift, so Amazon Redshift always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Whatever BetterContact 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.
A continuously synced copy in Amazon Redshift preserves a queryable record even as data ages out of BetterContact or gets changed inside it.
Records and events from BetterContact land in Amazon Redshift as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine BetterContact's data with data from every other synced system to answer questions no single tool can.
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 Redshift objects | BetterContact objects | How this pairing syncs | |
|---|---|---|---|
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | External Tables (Spectrum) is specific to Amazon Redshift and Company to BetterContact — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Stored Procedures is specific to Amazon Redshift and Lead Finder Search to BetterContact — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Users and Groups is specific to Amazon Redshift and Enrichment Request to BetterContact — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Databases is specific to Amazon Redshift and Enriched Contact 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Redshift 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 Redshift 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 Redshift–BetterContact connection.
Changes in Amazon Redshift or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Redshift or BetterContact record.
Track your Amazon Redshift ⇄ BetterContact sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Redshift 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 Redshift 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 Redshift 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.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. 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 Redshift side: Users and Groups, Databases, Schemas, Tables. 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 Redshift. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Redshift and BetterContact: History that outlives the tool; Analytics on BetterContact's data; Cross-tool reporting. A continuously synced copy in Amazon Redshift preserves a queryable record even as data ages out of BetterContact or gets changed inside it.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. BetterContact: Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint. Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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 Redshift and BetterContact.