Real-time sync
Changes in Aviato or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Aviato and SQL Server 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 SQL Server, so SQL Server 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 SQL Server.
Stacksync mirrors Headcount Snapshot, Employment Record, Acquisition / Exit Event, Company from Aviato into Schemas, Tables, Views, Columns in SQL Server 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.
Records from Aviato are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in SQL Server and Stacksync propagates the change into Aviato, replacing custom integration code.
Updates in Aviato arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
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 | SQL Server objects | |
|---|---|---|
| Funding Round Round-level records with stage, amount, date, and participating investors | Tables The primary sync target; rows map to records in connected systems. | |
| Investor Funds and angels connected to the rounds and companies they back | Views Read-side projections used as outbound sync sources. | |
| Headcount Snapshot Point-in-time employee counts used to track company growth over time | Columns Field-level mapping targets with T-SQL types. | |
| Employment Record Person-to-company links with role and tenure that model team movement | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Acquisition / Exit Event M&A and exit records tied to the acquired company profile | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Company Private-company profiles with firmographics, sector tags, and status | Stored Procedures T-SQL logic that can validate or post-process synced rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–SQL Server connection.
Changes in Aviato or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Aviato or SQL Server 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 SQL Server record.
Track your Aviato ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Aviato and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server — 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.
On the Aviato side: Headcount Snapshot, Employment Record, Acquisition / Exit Event, Company, plus custom fields where Aviato exposes them. On the SQL Server side: Schemas, Tables, Views, Columns. 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 SQL Server. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Aviato and SQL Server: Read Aviato with a query; Automate Aviato from your codebase; React to changes as they happen. Records from Aviato are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
Aviato: REST API returning JSON, with search/filter endpoints for querying company and people records. Authentication: API key passed on each request. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Aviato: Records are linked relationally: people connect to companies through employment history, and companies connect to investors through funding rounds. SQL Server: Composite primary keys are not supported (single-column, auto-generated PK required). Stacksync's field mapping accounts for these differences between Aviato and SQL Server without custom code.
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 SQL Server.