Real-time sync
Changes in Aviato or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Aviato and StarRocks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Aviato is a read-only source: Stacksync reads its data in real time and delivers it into StarRocks, so StarRocks 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.
A continuously synced copy in StarRocks preserves a queryable record even as data ages out of Aviato or gets changed inside it.
Records and events from Aviato land in StarRocks as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Aviato's data with data from every other synced system to answer questions no single tool can.
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 | StarRocks objects | |
|---|---|---|
| Employment Record Person-to-company links with role and tenure that model team movement | Columns Columnar storage with types mapped from source systems during sync. | |
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Company Private-company profiles with firmographics, sector tags, and status | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Person Founder and employee profiles linked to current and past companies | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Funding Round Round-level records with stage, amount, date, and participating investors | Views Logical views for shaping analytical reads. | |
| Investor Funds and angels connected to the rounds and companies they back | Partitions Time or range partitions that scope loads and retention. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–StarRocks connection.
Changes in Aviato or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aviato or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Aviato or StarRocks record.
Track your Aviato ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aviato and StarRocks.
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.
Authenticate Aviato and StarRocks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Aviato and StarRocks 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Aviato and StarRocks — 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.
Yes — Stacksync ships production-grade connectors for both Aviato and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Aviato: Polling-based: re-query tracked records on a schedule and diff against the last synced state; no native change feed is assumed. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Aviato side: Investor, Headcount Snapshot, Employment Record, Acquisition / Exit Event, plus custom fields where Aviato exposes them. On the StarRocks side: Partitions, Columns, Databases, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Aviato is a read-only source, so this integration runs one-way: Stacksync reads from Aviato in real time and delivers into StarRocks. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Aviato and StarRocks: History that outlives the tool; Analytics on Aviato's data; Cross-tool reporting. A continuously synced copy in StarRocks preserves a queryable record even as data ages out of Aviato or gets changed inside it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Aviato and StarRocks.