Real-time
Two-way sync
Changes in Elasticsearch or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to RavenDB integration — real-time, two-way sync
Keep Elasticsearch and RavenDB 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
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Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Elasticsearch and RavenDB
Keep Elasticsearch and RavenDB 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 RavenDB 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
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- Stream RavenDB document changes into Postgres or a warehouse via data subscriptions for SQL analytics.
- Sync operational documents such as orders and profiles between RavenDB and a CRM so business teams see application data.
Cross-engine sync
Keep the same dataset live in both Elasticsearch and RavenDB, 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.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between Elasticsearch and RavenDB
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 | RavenDB objects | |
|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Indexes Static and auto indexes used to query documents for filtered reads | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Attachments Binary payloads stored with documents, handled separately from the JSON body | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Revisions Historical versions of documents, useful for audit-oriented replication | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Counters Numeric values attached to documents that change independently of the document body | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Time series Timestamped measurements stored per document, synced for metrics analysis | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Data subscriptions Server-side change feeds that push matching documents to consumers |
What ships with Elasticsearch ⇄ RavenDB
Connect Elasticsearch and RavenDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–RavenDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or RavenDB 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 RavenDB record.
Observability
Monitoring
Track your Elasticsearch ⇄ RavenDB 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 RavenDB.
How the Elasticsearch and RavenDB 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
RavenDB
- Integration surface
- HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
- Authentication
- X.509 client certificates on secured servers, instead of username and password
- Change detection
- data subscriptions and the Changes API provide server-pushed change feeds
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by cluster resources rather than API quotas
How it works
How to connect Elasticsearch to RavenDB — 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 RavenDB 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
RavenDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and RavenDB 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 ⇄ RavenDBCustomers 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 RavenDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and RavenDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and RavenDB: authenticate both systems, choose the objects to sync (such as Elasticsearch's Ingest pipelines and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. RavenDB: Secured RavenDB servers authenticate clients with X.509 certificates rather than passwords, so connection setup involves certificate management. Stacksync's field mapping accounts for these differences between Elasticsearch and RavenDB 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 RavenDB 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 RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–RavenDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and RavenDB. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On RavenDB: Data subscriptions and the Changes API provide server-pushed change feeds. 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 Elasticsearch and RavenDB.
Popular · 8 of 386
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Elasticsearch ⇄ AWS Aurora MySQL - Elasticsearch ⇄ AWS Aurora PostgreSQL
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Elasticsearch ⇄ MongoDB -
Elasticsearch ⇄ CockroachDB -
RavenDB ⇄ Google AlloyDB -
RavenDB ⇄ Dynamo DB -
RavenDB ⇄ IBM Db2 -
RavenDB ⇄ Firebase
No integrations match .
