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Data warehouse ⇄ Business productivity

Apache Druid to Aviato integration — real-time data sync

Keep Apache Druid 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.

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  • 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 Apache Druid and Aviato

Get the data locked inside Aviato into Apache Druid 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 Apache Druid, so Apache Druid 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

  • Keep a warehouse table of tracked private companies refreshed on a schedule for downstream scoring and reporting
  • Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • Expose product telemetry stored in Druid to business tools without granting direct cluster access.

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

History that outlives the tool

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

What you can sync between Apache Druid 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.

Apache Druid objects Aviato objects
Tasks Batch ingestion and compaction jobs monitored during data loads. Investor Funds and angels connected to the rounds and companies they back
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Headcount Snapshot Point-in-time employee counts used to track company growth over time
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Employment Record Person-to-company links with role and tenure that model team movement
Dimensions String and categorical columns used for filtering and grouping in synced queries. Acquisition / Exit Event M&A and exit records tied to the acquired company profile
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Company Private-company profiles with firmographics, sector tags, and status
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Person Founder and employee profiles linked to current and past companies
What ships with Apache Druid ⇄ Aviato

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Aviato record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Aviato.

How the Apache Druid and Aviato connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Aviato connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Aviato
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid 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
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GDPR
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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 Apache Druid and Aviato.

Popular · 8 of 386
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