Real-time
Two-way sync
Changes in Dremio or Supabase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to Supabase integration — real-time, two-way sync
Keep Dremio 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
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Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and Supabase
Connect Supabase and Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into Supabase, with schema and type mapping between the two systems handled for you.
Common use cases
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- Reflect auth.users state into support and CRM systems so teams see account status without querying the database
- Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
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 Dremio and keep Supabase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Supabase land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Dremio 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.
| Dremio objects | Supabase objects | |
|---|---|---|
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Tables Standard Postgres tables; the primary two-way sync target. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Views Read-side projections exposed to outbound syncs. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Schemas Namespaces (public and custom) that scope sync access. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | |
| Jobs Query execution records useful for monitoring sync workloads. | JSONB Columns Semi-structured payloads such as event properties or nested objects. |
What ships with Dremio ⇄ Supabase
Connect Dremio and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Supabase record.
Observability
Monitoring
Track your Dremio ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and Supabase.
How the Dremio and Supabase connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Supabase: authenticate both systems, choose the objects to sync (such as Dremio's Physical datasets and Virtual datasets (views)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Dremio and Supabase: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Supabase: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Dremio: Dremio queries data in place on lake storage (S3, ADLS, HDFS) rather than ingesting it, so syncs read through Dremio to underlying files and Iceberg tables. Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Stacksync's field mapping accounts for these differences between Dremio 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 Dremio and Supabase records are not retained after a sync operation.
SECURITY
Security teams love 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
CSA STAR
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 386 integrations available for Dremio and Supabase.
Popular · 8 of 386
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Dremio ⇄ SAP ASE (Sybase) -
Dremio ⇄ Scaleway Postgres -
Dremio ⇄ TiDB -
Dremio ⇄ TimescaleDB -
Supabase ⇄ StarRocks -
Supabase ⇄ Teradata Vantage -
Supabase ⇄ Tinybird -
Supabase ⇄ Vertica
No integrations match .
