Real-time
Real-time sync
Changes in Aviato or Dremio instantly reflect in both systems. No stale data, no manual imports.
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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Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
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
- 01 Feed lead-scoring models with growth signals (funding recency, headcount trajectory) pulled from Aviato
- 02 Backfill missing firmographic fields on inbound leads by matching them to Aviato company profiles
- 03 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- 04 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Funding Round is specific to Aviato and Physical datasets to Dremio — each maps to any object or custom field on the other side. | |
| 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. | Investor is specific to Aviato and Virtual datasets (views) to Dremio — each maps to any object or custom field on the other side. | |
| 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. | Headcount Snapshot is specific to Aviato and Apache Iceberg tables to Dremio — each maps to any object or custom field on the other side. | |
| 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. | Employment Record is specific to Aviato and Spaces and folders to Dremio — each maps to any object or custom field on the other side. | |
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Acquisition / Exit Event is specific to Aviato and Reflections to Dremio — each maps to any object or custom field on the other side. | |
| Company Private-company profiles with firmographics, sector tags, and status | Jobs Query execution records useful for monitoring sync workloads. | Company is specific to Aviato and Jobs to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between Aviato and Dremio
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.
Aviato Dremio Interval-based propagation
DetectionStacksync polls Aviato for changes on an incremental schedule, reading only records changed since the previous pass. Polling-based: re-query tracked records on a schedule and diff against the last synced state.
DeliveryEach detected change is applied to Dremio as a row-level write, with types converted between the two schemas.
Dremio Aviato Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryAviato does not accept inbound record writes, so this direction carries requests rather than records: Aviato's output flows back as field updates on the originating Dremio records.
Rate-limit considerations
- Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
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.
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.
- 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.
Aviato
connected
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Aviato ⇄ DremioCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Aviato DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and Dremio integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and Dremio — Aviato 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.
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Aviato is a read-only source, so this integration runs one-way: Stacksync reads from Aviato in real time and delivers into Dremio. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Aviato and Dremio: Cross-tool reporting; Where Aviato accepts updates: operational write-back; History that outlives the tool. Combine Aviato's data with data from every other synced system to answer questions no single tool can.
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Aviato: REST API returning JSON, with search/filter endpoints for querying company and people records. Authentication: API key passed on each request. Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Stacksync manages authentication, retries, and rate limits on both sides.
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Aviato: Records are linked relationally: people connect to companies through employment history, and companies connect to investors through funding rounds. Dremio: DML (INSERT, UPDATE, DELETE) is supported on Apache Iceberg tables, making Dremio a writable target, not just a query layer. Stacksync's field mapping accounts for these differences between Aviato and Dremio without custom code.
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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 Aviato and Dremio records are not retained after a sync operation.
SECURITY
Security teams trust 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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:
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