Real-time sync
Changes in Aviato or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Keep Aviato and Azure SQL Database 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 Azure SQL Database, so Azure SQL Database always reflects the current state of Aviato — without exports, scripts, or schedulers.
Engineers integrate with tools like Aviato through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Azure SQL Database.
Stacksync mirrors Employment Record, Acquisition / Exit Event, Company, Person from Aviato into Rows and columns, Stored procedures, Change tracking / CDC tables, Tables in Azure SQL Database and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Aviato, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Aviato are ordinary rows in Azure SQL Database; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Azure SQL Database and Stacksync propagates the change into Aviato, replacing custom integration code.
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 | Azure SQL Database objects | |
|---|---|---|
| Investor Funds and angels connected to the rounds and companies they back | Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Change tracking / CDC tables System-maintained change records used to drive incremental sync. | |
| Employment Record Person-to-company links with role and tenure that model team movement | Tables The primary sync target; rows map one-to-one to records in the paired system. | |
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | |
| Company Private-company profiles with firmographics, sector tags, and status | Schemas Namespaces that organize tables and control which objects a sync user can reach. | |
| Person Founder and employee profiles linked to current and past companies | Rows and columns Standard relational records with typed columns; primary keys anchor upserts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–Azure SQL Database connection.
Changes in Aviato or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aviato or Azure SQL Database 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 Azure SQL Database record.
Track your Aviato ⇄ Azure SQL Database sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aviato and Azure SQL Database.
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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database — 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.
Aviato is a read-only source, so this integration runs one-way: Stacksync reads from Aviato in real time and delivers into Azure SQL Database. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Aviato and Azure SQL Database: One integration pattern for the whole stack; Read Aviato with a query; Automate Aviato from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Aviato: REST API returning JSON, with search/filter endpoints for querying company and people records. Authentication: API key passed on each request. Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Stacksync manages authentication, retries, and rate limits on both sides.
Aviato: It is a read-only enrichment source in practice: syncs pull Aviato data into systems of record (CRM, warehouse); there is no workflow for pushing business records into Aviato. Azure SQL Database: As a managed service, server-level features are constrained compared with a full SQL Server instance, so connectors authenticate to a logical server endpoint rather than an OS-level host. Stacksync's field mapping accounts for these differences between Aviato and Azure SQL Database without custom code.
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 Azure SQL Database records are not retained after a sync operation.
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 Azure SQL Database.