Real-time
Two-way sync
Changes in AWS S3 or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
AWS S3 to Redis Enterprise integration — real-time, two-way sync
Keep AWS S3 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS S3 and Redis Enterprise
Connect Redis Enterprise and AWS S3 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 AWS S3, 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 AWS S3 in real time, and result tables in AWS S3 sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Common use cases
- Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
- Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
- Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
- Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
Offload heavy reads
Point analytical queries at the synced copy in AWS S3 and keep Redis Enterprise focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Redis Enterprise land in AWS S3 as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in AWS S3 sync into Redis Enterprise, where whatever reads from that database gets them without querying the warehouse.
What you can sync between AWS S3 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.
| AWS S3 objects | Redis Enterprise objects | |
|---|---|---|
| Multipart Uploads The mechanism used to write large export files reliably. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Object Metadata System and user-defined metadata read alongside object contents. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. |
What ships with AWS S3 ⇄ Redis Enterprise
Connect AWS S3 and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS S3 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 AWS S3 or Redis Enterprise record.
Observability
Monitoring
Track your AWS S3 ⇄ 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 AWS S3 and Redis Enterprise.
How the AWS S3 and Redis Enterprise connectors work
AWS S3
- Integration surface
- REST API (the S3 API), accessed directly or through AWS SDKs
- Authentication
- AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
- Change detection
- S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
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 AWS S3 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 AWS S3 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.
AWS S3
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS S3 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 · AWS S3 ⇄ 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.
AWS S3 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS S3 and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Redis Enterprise: authenticate both systems, choose the objects to sync (such as AWS S3's Multipart Uploads and Buckets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS S3 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 AWS S3 and keep Redis Enterprise focused on its operational workload.
-
AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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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AWS S3: The namespace is flat: prefixes only simulate folders, and listing performance depends on how keys are partitioned. 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 AWS S3 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 AWS S3 and Redis Enterprise records are not retained after a sync operation.
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 AWS S3 and Redis Enterprise.
Popular · 8 of 386
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AWS S3 ⇄ Amazon RDS -
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Redis Enterprise ⇄ Teradata Vantage -
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No integrations match .
