Real-time
Two-way sync
Changes in Dremio or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to Redis Enterprise integration — real-time, two-way sync
Keep Dremio 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
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 Dremio and Redis Enterprise
Connect Redis Enterprise and Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Common use cases
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep Redis Enterprise focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Dremio 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.
| Dremio objects | Redis Enterprise objects | |
|---|---|---|
| Jobs Query execution records useful for monitoring sync workloads. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Lists Ordered sequences often used as lightweight queues fed by sync events. |
What ships with Dremio ⇄ Redis Enterprise
Connect Dremio and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Redis Enterprise record.
Observability
Monitoring
Track your Dremio ⇄ 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 Dremio and Redis Enterprise.
How the Dremio and Redis Enterprise connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Dremio's Jobs and Sources), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Dremio and Redis Enterprise: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Dremio and keep Redis Enterprise focused on its operational workload.
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Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Dremio: Virtual datasets let teams expose curated, governed views, so a sync can target business-ready SQL views instead of raw files. 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 Dremio 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 Dremio 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 Dremio and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Redis Enterprise integration in-house.
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 Dremio and Redis Enterprise.
Popular · 8 of 386
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Dremio ⇄ Airtable -
Dremio ⇄ AWS Aurora MySQL - Dremio ⇄ AWS Aurora PostgreSQL
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Dremio ⇄ MongoDB -
Redis Enterprise ⇄ Databricks -
Redis Enterprise ⇄ AWS S3 -
Redis Enterprise ⇄ Actian Vector -
Redis Enterprise ⇄ Amazon Redshift
No integrations match .
