Skip to content
Database ⇄ Data warehouse

SingleStore to Snowflake integration — real-time, two-way sync

Keep SingleStore and Snowflake 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 Snowflake

Connect SingleStore and Snowflake 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 SingleStore's rows in Snowflake, 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 SingleStore where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in SingleStore sync into Snowflake in real time, and result tables in Snowflake sync back into SingleStore, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
  • 02 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
  • 03 Feed synced operational data into applications that need low-latency responses over fresh data.
  • 04 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from SingleStore land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Snowflake sync into SingleStore, 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.

What you can sync between SingleStore and Snowflake

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 Snowflake objects How this pairing syncs
Databases The connection target containing the tables a sync addresses. Databases Top-level containers that scope which data a sync can touch. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-only projections used as curated sync sources. Views Modeled projections used as the source side of outbound syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. Indexes and Shard Keys is specific to SingleStore and VARIANT Columns to Snowflake — 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. Virtual Warehouses The compute a sync's queries run on, sized independently of storage. Tables (rowstore and columnstore) is specific to SingleStore and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side.
Reference Tables Small tables replicated to every node, often used for dimension data in syncs. Schemas Namespaces within a database used to organize synced tables. Reference Tables is specific to SingleStore and Schemas to Snowflake — each maps to any object or custom field on the other side.
Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Tables The main landing and activation target for synced records. Pipelines is specific to SingleStore and Tables to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between SingleStore and Snowflake

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 Snowflake 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 Snowflake as a row-level write, with types converted between the two schemas.

Snowflake SingleStore Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with SingleStore ⇄ Snowflake

Connect SingleStore and Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SingleStore–Snowflake connection.

Real-time

Two-way sync

Changes in SingleStore or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SingleStore or Snowflake 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 Snowflake record.

Observability

Monitoring

Track your SingleStore ⇄ Snowflake 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 Snowflake.

How the SingleStore and Snowflake 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

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect SingleStore to Snowflake — 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.

  1. 01

    Connect your apps

    Authenticate SingleStore and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    SingleStore connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the SingleStore and Snowflake 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · SingleStore ⇄ Snowflake
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    SingleStore Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

SingleStore and Snowflake integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 490 integrations available for SingleStore and Snowflake.

Popular · 4 of 490
All SingleStore integrations All Snowflake integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own