Real-time
Two-way sync
Changes in Redis Enterprise or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Redis Enterprise to Snowflake integration — real-time, two-way sync
Keep Redis Enterprise 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 Redis Enterprise and Snowflake
Connect Redis Enterprise 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 Redis Enterprise'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 Redis Enterprise where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Redis Enterprise sync into Snowflake in real time, and result tables in Snowflake sync back into Redis Enterprise, 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 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
- 04 Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise 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 Redis Enterprise, 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 Redis Enterprise 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.
| Redis Enterprise objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Views Modeled projections used as the source side of outbound syncs. | JSON documents is specific to Redis Enterprise and Views to Snowflake — each maps to any object or custom field on the other side. | |
| Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Materialized Views Precomputed results synced outward for low-latency reads. | Sets is specific to Redis Enterprise and Materialized Views to Snowflake — each maps to any object or custom field on the other side. | |
| Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Stages File staging areas used for bulk loads into synced tables. | Sorted Sets is specific to Redis Enterprise and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Lists Ordered sequences often used as lightweight queues fed by sync events. | Tasks Scheduled SQL used to transform synced data after it lands. | Lists is specific to Redis Enterprise and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Pub/Sub channels is specific to Redis Enterprise and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. |
How changes propagate between Redis Enterprise 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.
Redis Enterprise Snowflake Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
Snowflake Redis Enterprise 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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
- Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Redis Enterprise ⇄ Snowflake
Connect Redis Enterprise and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Redis Enterprise 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 Redis Enterprise or Snowflake record.
Observability
Monitoring
Track your Redis Enterprise ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and Snowflake.
How the Redis Enterprise and Snowflake connectors work
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
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
How it works
How to connect Redis Enterprise 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.
- 01
Connect your apps
Authenticate Redis Enterprise 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.
Redis Enterprise
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Redis Enterprise 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.
objects · Redis Enterprise ⇄ SnowflakeCustomers 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.
Redis Enterprise SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Redis Enterprise and Snowflake integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Redis Enterprise and Snowflake: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Streams and JSON documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Snowflake: Views (materialized and non-materialized) are not yet supported (coming soon). Redis Enterprise: Keyspace notifications are delivered over pub/sub with no replay, so reliable change capture usually pairs them with Streams or periodic reconciliation. Stacksync's field mapping accounts for these differences between Redis Enterprise and Snowflake without custom code.
-
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 Redis Enterprise and Snowflake records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Redis Enterprise and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Redis Enterprise–Snowflake integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Redis Enterprise and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. 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
Every pair below is a real-time, two-way sync. Search all 475 integrations available for Redis Enterprise and Snowflake.
Popular · 5 of 475
-
Redis Enterprise ⇄ ClickHouse -
Snowflake ⇄ Scaleway Postgres -
Snowflake ⇄ TiDB -
Snowflake ⇄ TimescaleDB -
Snowflake ⇄ VoltDB
No integrations match .
