Real-time
Real-time sync
Changes in Aviato or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Aviato to TimescaleDB integration — real-time data sync
Keep Aviato and TimescaleDB 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Aviato and TimescaleDB
Mirror Aviato's data into TimescaleDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Aviato is a read-only source: Stacksync reads its data in real time and delivers it into TimescaleDB, so TimescaleDB 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 TimescaleDB.
Stacksync mirrors Acquisition / Exit Event, Company, Person, Funding Round from Aviato into Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB 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.
Common use cases
- 01 Pull founder and team data into a sourcing database to flag new startups that match an investment thesis
- 02 Feed lead-scoring models with growth signals (funding recency, headcount trajectory) pulled from Aviato
- 03 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 04 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Aviato with a query
Records from Aviato are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Automate Aviato from your codebase
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Aviato, replacing custom integration code.
What you can sync between Aviato and TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Funding Round Round-level records with stage, amount, date, and participating investors | Views Standard SQL views used to shape or filter data for consumers. | Funding Round is specific to Aviato and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Investor Funds and angels connected to the rounds and companies they back | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Investor is specific to Aviato and Schemas to TimescaleDB — 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 | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Headcount Snapshot is specific to Aviato and Hypertables to TimescaleDB — 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 | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Employment Record is specific to Aviato and Chunks to TimescaleDB — 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 | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Acquisition / Exit Event is specific to Aviato and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Company Private-company profiles with firmographics, sector tags, and status | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Company is specific to Aviato and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Aviato and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Aviato Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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 TimescaleDB records.
Rate-limit considerations
- Aviato: Request volume is credit- and rate-limited per plan; schedule refreshes in batches rather than per-record calls.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Aviato ⇄ TimescaleDB
Connect Aviato and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Aviato–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Aviato or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Aviato ⇄ TimescaleDB 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 TimescaleDB.
How the Aviato and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Aviato to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Aviato and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Aviato and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Aviato and TimescaleDB — 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Aviato and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Aviato–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Aviato and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Aviato side: Acquisition / Exit Event, Company, Person, Funding Round, plus custom fields where Aviato exposes them. On the TimescaleDB side: Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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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 TimescaleDB. Field mapping and monitoring work the same as for two-way pairs.
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:
Related integrations
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