Two-way sync
Changes in Redis Enterprise or Snowflake instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Rows from Redis Enterprise land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Snowflake sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | |
|---|---|---|
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Tasks Scheduled SQL used to transform synced data after it lands. | |
| 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. | |
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | |
| Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Databases Top-level containers that scope which data a sync can touch. | |
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Schemas Namespaces within a database used to organize synced tables. | |
| JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Tables The main landing and activation target for synced records. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–Snowflake connection.
Changes in Redis Enterprise or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Redis Enterprise or Snowflake record.
Track your Redis Enterprise ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and Snowflake.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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 Pub/Sub channels), 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Redis Enterprise and Snowflake.