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Database

Azure Cosmos DB to Elasticsearch integration — real-time, two-way sync

Keep Azure Cosmos DB and Elasticsearch 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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Why teams connect Azure Cosmos DB and Elasticsearch

Keep Azure Cosmos DB and Elasticsearch 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 Azure Cosmos DB and Elasticsearch 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

  • Sync CRM or ERP records into a Cosmos DB container that backs a customer-facing application.
  • Mirror Cosmos DB items into Postgres so teams can query operational data with standard SQL.
  • Mirror support tickets into an index used for full-text search and agent-assist tooling.
  • Feed enriched customer records into an index used for vector or hybrid search in AI applications.

Cross-engine sync

Keep the same dataset live in both Azure Cosmos DB and Elasticsearch, 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 Azure Cosmos DB and Elasticsearch

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.

Azure Cosmos DB objects Elasticsearch objects
Databases Top-level namespaces that scope containers and throughput provisioning. Aliases Stable read/write names that let a sync cut over between index versions without downtime.
Containers The unit of partitioning and throughput; each container maps to a synced collection. Data streams Append-only targets for time-series or event data pushed from source systems.
Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. Ingest pipelines Server-side transforms applied to documents as a sync writes them.
Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. Index templates Reusable settings and mappings applied automatically to new indices a sync creates.
Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. Indices Target containers for synced records; each holds a table-like collection of JSON documents.
Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. Documents The unit of sync; JSON records created, updated, and deleted by _id.
What ships with Azure Cosmos DB ⇄ Elasticsearch

Connect Azure Cosmos DB and Elasticsearch for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Elasticsearch connection.

Real-time

Two-way sync

Changes in Azure Cosmos DB or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Cosmos DB or Elasticsearch 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 Azure Cosmos DB or Elasticsearch record.

Observability

Monitoring

Track your Azure Cosmos DB ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Elasticsearch.

How the Azure Cosmos DB and Elasticsearch connectors work

Azure Cosmos DB

Integration surface
REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces
Authentication
Account keys, resource tokens, or Microsoft Entra ID role-based access
Change detection
Built-in change feed exposing inserts and updates in order within each partition key range
Capabilities
read · write · CDC

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
How it works

How to connect Azure Cosmos DB to Elasticsearch — 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.

  1. 01

    Connect your apps

    Authenticate Azure Cosmos DB and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Azure Cosmos DB connected
    Elasticsearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Cosmos DB and Elasticsearch 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Azure Cosmos DB ⇄ Elasticsearch
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Azure Cosmos DB Elasticsearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Cosmos DB and Elasticsearch integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure Cosmos DB and Elasticsearch.

Popular · 8 of 386
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