Real-time
Two-way sync
Changes in Actian Vector or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Actian Vector to Supabase integration — real-time, two-way sync
Keep Actian Vector and Supabase 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Actian Vector and Supabase
Connect Supabase and Actian Vector with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Supabase's rows in Actian Vector, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Supabase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Supabase sync into Actian Vector in real time, and result tables in Actian Vector sync back into Supabase, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate data from several source systems into one Vector database for BI dashboards.
- 02 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- 03 Mirror billing and subscription records into Supabase tables the application can join directly
- 04 Reflect auth.users state into support and CRM systems so teams see account status without querying the database
Common sync patterns
Offload heavy reads
Point analytical queries at the synced copy in Actian Vector and keep Supabase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Supabase land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Actian Vector sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Actian Vector and Supabase
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.
| Actian Vector objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables. | Schemas Namespaces (public and custom) that scope sync access. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Tables Columnar tables that serve as sync sources or destinations. | Tables Standard Postgres tables; the primary two-way sync target. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as query-backed sync sources. | Views Read-side projections exposed to outbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Database Functions Postgres functions that can transform or validate synced rows. | Columns is specific to Actian Vector and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Users and Roles is specific to Actian Vector and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Databases Top-level containers targeted by a sync connection. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Databases is specific to Actian Vector and auth.users to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Supabase
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.
Actian Vector Supabase Interval-based propagation
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase Actian Vector Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Actian Vector ⇄ Supabase
Connect Actian Vector and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Supabase 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 Actian Vector or Supabase record.
Observability
Monitoring
Track your Actian Vector ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Supabase.
How the Actian Vector and Supabase connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Actian Vector to Supabase — 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 Actian Vector and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Actian Vector
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Supabase 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 · Actian Vector ⇄ SupabaseCustomers 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.
Actian Vector SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Supabase: authenticate both systems, choose the objects to sync (such as Actian Vector's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Actian Vector and Supabase records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Actian Vector and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Actian Vector–Supabase integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Actian Vector and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Actian Vector side: Databases, Schemas, Tables, Views, plus custom fields where Actian Vector exposes them. On the Supabase side: Database Functions, Storage Object Metadata, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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
Every pair below is a real-time, two-way sync. Search all 302 integrations available for Actian Vector and Supabase.
Popular · 5 of 302
-
Actian Vector ⇄ IBM Informix -
Supabase ⇄ Dremio -
Supabase ⇄ Exasol -
Supabase ⇄ Firebolt -
Supabase ⇄ Google Cloud Platform
No integrations match .
