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Business productivity ⇄ Data warehouse

Aviato to Dremio integration — real-time data sync

Keep Aviato and Dremio 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 Dremio

Get the data locked inside Aviato into Dremio 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 Dremio, so Dremio 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
  • Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
  • Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.

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 Dremio sync back onto records in Aviato, putting analysis where the work happens.

History that outlives the tool

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

What you can sync between Aviato and Dremio

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 Dremio objects
Funding Round Round-level records with stage, amount, date, and participating investors Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads.
Investor Funds and angels connected to the rounds and companies they back Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts.
Headcount Snapshot Point-in-time employee counts used to track company growth over time Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads.
Employment Record Person-to-company links with role and tenure that model team movement Spaces and folders Namespaces that organize virtual datasets and govern access.
Acquisition / Exit Event M&A and exit records tied to the acquired company profile Reflections Materialized accelerations that make repeated extraction queries cheaper.
Company Private-company profiles with firmographics, sector tags, and status Jobs Query execution records useful for monitoring sync workloads.
What ships with Aviato ⇄ Dremio

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Aviato or Dremio 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 Dremio record.

Observability

Monitoring

Track your Aviato ⇄ Dremio 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 Dremio.

How the Aviato and Dremio 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

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits
How it works

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

    Choose tables

    Pick the Aviato and Dremio 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 ⇄ Dremio
    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 Dremio
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Aviato and Dremio 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 Dremio.

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