Real-time sync
Changes in Amazon S3 or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 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 S3, so Amazon S3 always reflects the current state of BetterContact — without exports, scripts, or schedulers.
BetterContact and Amazon S3 hold different kinds of data. BetterContact carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what BetterContact produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents BetterContact's records point to.
Stacksync syncs Company, Lead Finder Search, Enrichment Request, Enriched Contact in BetterContact with Object metadata, Object tags, Object versions, Prefixes (folders) in Amazon S3 in real time. Records and attachments created in BetterContact are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in BetterContact, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.
Records and events from BetterContact — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.
Documents attached to records in BetterContact land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.
A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in BetterContact, so whoever is working there sees the current version without switching tools.
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 S3 objects | BetterContact objects | How this pairing syncs | |
|---|---|---|---|
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Object metadata is specific to Amazon S3 and Lead Finder Search to BetterContact — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Object tags is specific to Amazon S3 and Enrichment Request to BetterContact — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Object versions is specific to Amazon S3 and Enriched Contact to BetterContact — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Prefixes (folders) is specific to Amazon S3 and Company 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.
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
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 S3 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 written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–BetterContact connection.
Changes in Amazon S3 or BetterContact instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 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 S3 or BetterContact record.
Track your Amazon S3 ⇄ BetterContact sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 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 S3 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 S3 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 S3 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.
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. 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.
BetterContact: The API is asynchronous: submit contacts, then receive results via webhook or fetch them after processing. Amazon S3: S3 provides strong read-after-write consistency for all operations, but it has no built-in change feed — near-real-time detection depends on S3 Event Notifications or EventBridge being configured on the bucket. Stacksync's field mapping accounts for these differences between Amazon S3 and BetterContact 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 Amazon S3 and BetterContact records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and BetterContact connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–BetterContact integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and BetterContact. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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Every pair below is a real-time, two-way sync. Search all 323 integrations available for Amazon S3 and BetterContact.