Real-time
Two-way sync
Changes in Firebolt or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Firebolt to Supabase integration — real-time, two-way sync
Keep Firebolt 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 Firebolt and Supabase
Connect Supabase and Firebolt 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 Firebolt, 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 Firebolt in real time, and result tables in Firebolt sync back into Supabase, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
- 02 Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.
- 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
Serve warehouse results at database speed
Aggregates or model outputs computed in Firebolt sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Firebolt and keep Supabase focused on its operational workload.
What you can sync between Firebolt 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.
| Firebolt objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Tables Managed columnar tables written with SQL; the main sync destination. | 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 Curated query surfaces commonly used as sources for reverse ETL. | 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. | |
| Databases Logical containers holding the tables a sync targets. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Databases is specific to Firebolt and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| External tables References to files in object storage used to stage bulk loads. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | External tables is specific to Firebolt and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Database Functions Postgres functions that can transform or validate synced rows. | Aggregating indexes is specific to Firebolt and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Engines Compute resources that must be running for a sync to read or write. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Engines is specific to Firebolt and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Firebolt 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.
Firebolt Supabase Interval-based propagation
DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase Firebolt 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 Firebolt as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Firebolt: No fixed request quota; throughput depends on the engine size attached to the workload.
- 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 Firebolt ⇄ Supabase
Connect Firebolt and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebolt–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebolt 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 Firebolt or Supabase record.
Observability
Monitoring
Track your Firebolt ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Firebolt and Supabase.
How the Firebolt and Supabase connectors work
Firebolt
- Integration surface
- SQL over a REST API, with JDBC, Python, and Node.js SDKs
- Authentication
- Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
- Change detection
- Polling; Firebolt is an analytics destination and does not expose a change feed
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput depends on the engine size attached to the workload
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 Firebolt 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 Firebolt 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.
Firebolt
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebolt 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 · Firebolt ⇄ 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.
Firebolt SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebolt and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebolt and Supabase: authenticate both systems, choose the objects to sync (such as Firebolt's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Firebolt: Aggregating indexes precompute rollups at write time, which changes how incremental loads surface in query results. Supabase: Every Supabase project is a full PostgreSQL database, so standard Postgres drivers, SQL tooling, and log-based CDC apply directly. Stacksync's field mapping accounts for these differences between Firebolt and Supabase without custom code.
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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 Firebolt and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebolt and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebolt–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebolt and Supabase. 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 Firebolt: Polling; Firebolt is an analytics destination and does not expose a change feed. 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.
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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