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Business productivity ⇄ Data warehouse

Aviato to AWS S3 integration — real-time data sync

Keep Aviato and AWS S3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Aviato and AWS S3

Get the data locked inside Aviato into AWS S3 as live tables, and send results back where Aviato can use them, without writing a pipeline.

Aviato is a read-only source: Stacksync reads its data in real time and delivers it into AWS S3, so AWS S3 always reflects the current state of Aviato — without exports, scripts, or schedulers.

Whatever Aviato 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.

Common use cases

  • Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
  • Feed lead-scoring models with growth signals (funding recency, headcount trajectory) pulled from Aviato
  • Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • Trigger incremental sync runs from S3 event notifications when new files land in a prefix.

Cross-tool reporting

Combine Aviato's data with data from every other synced system to answer questions no single tool can.

Where Aviato accepts updates: operational write-back

Segments, scores, or reference values computed in AWS S3 sync back onto records in Aviato, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in AWS S3 preserves a queryable record even as data ages out of Aviato or gets changed inside it.

What you can sync between Aviato and AWS S3

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.

Aviato objects AWS S3 objects
Person Founder and employee profiles linked to current and past companies Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories.
Funding Round Round-level records with stage, amount, date, and participating investors Object Metadata System and user-defined metadata read alongside object contents.
Investor Funds and angels connected to the rounds and companies they back Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing.
Headcount Snapshot Point-in-time employee counts used to track company growth over time Event Notifications Notifications on object creation or deletion that trigger incremental processing.
Employment Record Person-to-company links with role and tenure that model team movement Access Points Scoped network endpoints used to grant a sync narrow access to a bucket.
Acquisition / Exit Event M&A and exit records tied to the acquired company profile Multipart Uploads The mechanism used to write large export files reliably.
What ships with Aviato ⇄ AWS S3

Connect Aviato and AWS S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–AWS S3 connection.

Real-time

Real-time sync

Changes in Aviato or AWS S3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aviato or AWS S3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Aviato or AWS S3 record.

Observability

Monitoring

Track your Aviato ⇄ AWS S3 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Aviato and AWS S3.

How the Aviato and AWS S3 connectors work

Aviato

Integration surface
REST API returning JSON, with search/filter endpoints for querying company and people records
Authentication
API key passed on each request
Change detection
Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed
Capabilities
read
Rate limits
Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
How it works

How to connect Aviato to AWS S3 — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Aviato and AWS S3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Aviato connected
    AWS S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Aviato and AWS S3 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Aviato ⇄ AWS S3
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Aviato AWS S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aviato and AWS S3 integration FAQ

SECURITY

Security teams love Stacksync

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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Aviato and AWS S3.

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