Real-time
Two-way sync
Changes in Elasticsearch or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to Redis Enterprise integration — real-time, two-way sync
Keep Elasticsearch 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
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Migrated from Celigo
Why teams connect Elasticsearch and Redis Enterprise
Keep Elasticsearch and Redis Enterprise synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Elasticsearch and Redis Enterprise continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Elasticsearch and Redis Enterprise, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | Redis Enterprise objects | |
|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. |
What ships with Elasticsearch ⇄ Redis Enterprise
Connect Elasticsearch and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Redis Enterprise record.
Observability
Monitoring
Track your Elasticsearch ⇄ 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 Elasticsearch and Redis Enterprise.
How the Elasticsearch and Redis Enterprise connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. 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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Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between Elasticsearch 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 Elasticsearch 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 Elasticsearch and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Elasticsearch and Redis Enterprise.
Popular · 8 of 386
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Elasticsearch ⇄ Google AlloyDB -
Elasticsearch ⇄ Dynamo DB -
Elasticsearch ⇄ IBM Db2 -
Elasticsearch ⇄ Firebase -
Redis Enterprise ⇄ DuckDB -
Redis Enterprise ⇄ Google Cloud Spanner - Redis Enterprise ⇄ Google Cloud SQL
- Redis Enterprise ⇄ IBM AS/400
No integrations match .
