Skip to content
Data warehouse ⇄ Business productivity

Amazon Redshift to Aviato integration — real-time data sync

Keep Amazon Redshift and Aviato 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Redshift and Aviato

Get the data locked inside Aviato into Amazon Redshift 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 Amazon Redshift, so Amazon Redshift 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

  • Feed lead-scoring models with growth signals (funding recency, headcount trajectory) pulled from Aviato
  • Backfill missing firmographic fields on inbound leads by matching them to Aviato company profiles
  • Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • Publish finance rollups computed in Redshift back to spreadsheets or operational tools.

Where Aviato accepts updates: operational write-back

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

History that outlives the tool

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

Analytics on Aviato's data

Records and events from Aviato land in Amazon Redshift as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Amazon Redshift and Aviato

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 Aviato objects
Views SQL views readable as modeled sources for reverse syncs. Acquisition / Exit Event M&A and exit records tied to the acquired company profile
Materialized Views Precomputed results that downstream syncs can read for performance. Company Private-company profiles with firmographics, sector tags, and status
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Person Founder and employee profiles linked to current and past companies
Stored Procedures SQL procedures sometimes invoked around load steps. Funding Round Round-level records with stage, amount, date, and participating investors
Users and Groups Principals used to grant a sync connection scoped access. Investor Funds and angels connected to the rounds and companies they back
Databases Top-level containers within a cluster or serverless workgroup. Headcount Snapshot Point-in-time employee counts used to track company growth over time
What ships with Amazon Redshift ⇄ Aviato

Connect Amazon Redshift and Aviato for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Aviato 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 Amazon Redshift or Aviato record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Aviato.

How the Amazon Redshift and Aviato connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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
How it works

How to connect Amazon Redshift to Aviato — 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 Amazon Redshift and Aviato 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
    Amazon Redshift connected
    Aviato connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Redshift and Aviato 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 · Amazon Redshift ⇄ Aviato
    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
    Amazon Redshift Aviato
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Redshift and Aviato 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 Amazon Redshift and Aviato.

Popular · 8 of 386
All Amazon Redshift integrations All Aviato integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own