Real-time
Two-way sync
Changes in Materialize or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Materialize to Redis Enterprise integration — real-time, two-way sync
Keep Materialize and Redis Enterprise 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Materialize and Redis Enterprise
Connect Redis Enterprise and Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Common use cases
- Bridge streaming sources and non-streaming destinations by materializing joins across both.
- Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
- Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
- Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
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 Materialize and keep Redis Enterprise focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Materialize and Redis Enterprise
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.
| Materialize objects | Redis Enterprise objects | |
|---|---|---|
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. |
What ships with Materialize ⇄ Redis Enterprise
Connect Materialize and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize or Redis Enterprise 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 Materialize or Redis Enterprise record.
Observability
Monitoring
Track your Materialize ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and Redis Enterprise.
How the Materialize and Redis Enterprise connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
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
How it works
How to connect Materialize to Redis Enterprise — 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 Materialize and Redis Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Materialize
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize and Redis Enterprise 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 · Materialize ⇄ Redis EnterpriseCustomers 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.
Materialize Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Materialize and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Materialize's Clusters and Connections & Secrets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Materialize: Views are maintained incrementally as data arrives rather than recomputed at query time, which is what makes reads consistently fresh. 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 Materialize and Redis Enterprise 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 Materialize and Redis Enterprise records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Materialize and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Materialize and Redis Enterprise.
Popular · 8 of 386
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Materialize ⇄ SAP ASE (Sybase) -
Materialize ⇄ Scaleway Postgres -
Materialize ⇄ TiDB -
Materialize ⇄ TimescaleDB -
Redis Enterprise ⇄ Apache Hive -
Redis Enterprise ⇄ Apache Impala -
Redis Enterprise ⇄ Apache Kylin -
Redis Enterprise ⇄ Apache Pinot
No integrations match .
