Real-time
Two-way sync
Changes in SingleStore or Supabase instantly reflect in both systems. No stale data, no manual imports.
Database
SingleStore to Supabase integration — real-time, two-way sync
Keep SingleStore 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 SingleStore and Supabase
Keep SingleStore and Supabase synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between SingleStore and Supabase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.
- 02 Sync results of real-time analytical queries back into business tools where teams act on them.
- 03 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
- 04 Mirror billing and subscription records into Supabase tables the application can join directly
Common sync patterns
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both SingleStore and Supabase, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between SingleStore 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.
| SingleStore objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only projections used as curated 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. | |
| Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Database Functions Postgres functions that can transform or validate synced rows. | Pipelines is specific to SingleStore and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Stored Procedures Existing logic sometimes invoked on write paths. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Stored Procedures is specific to SingleStore and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Tables Standard Postgres tables; the primary two-way sync target. | Indexes and Shard Keys is specific to SingleStore and Tables to Supabase — each maps to any object or custom field on the other side. | |
| Databases The connection target containing the tables a sync addresses. | Schemas Namespaces (public and custom) that scope sync access. | Databases is specific to SingleStore and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Tables (rowstore and columnstore) is specific to SingleStore and auth.users to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between SingleStore 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.
SingleStore Supabase Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
- 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 SingleStore ⇄ Supabase
Connect SingleStore and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever SingleStore 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 SingleStore or Supabase record.
Observability
Monitoring
Track your SingleStore ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between SingleStore and Supabase.
How the SingleStore and Supabase connectors work
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
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 SingleStore 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 SingleStore 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.
SingleStore
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the SingleStore 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 · SingleStore ⇄ 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.
SingleStore SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
SingleStore and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between SingleStore and Supabase: authenticate both systems, choose the objects to sync (such as SingleStore's Views and Pipelines), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the SingleStore side: Views, Reference Tables, Pipelines, Stored Procedures, plus custom fields where SingleStore 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.
-
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.
-
Common patterns for SingleStore and Supabase: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
-
SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. 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.
-
SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Stacksync's field mapping accounts for these differences between SingleStore and Supabase without custom code.
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 483 integrations available for SingleStore and Supabase.
Popular · 6 of 483
-
SingleStore ⇄ DuckDB -
SingleStore ⇄ Elasticsearch -
Supabase ⇄ InterSystems IRIS -
Supabase ⇄ MarkLogic -
Supabase ⇄ Neo4j -
Supabase ⇄ OCI Database (Oracle Cloud)
No integrations match .
