Real-time
Two-way sync
Changes in Azure Cosmos DB or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
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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Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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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
- 01 Sync CRM or ERP records into a Cosmos DB container that backs a customer-facing application.
- 02 Mirror Cosmos DB items into Postgres so teams can query operational data with standard SQL.
- 03 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 04 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Databases is specific to Azure Cosmos DB and Aliases to Elasticsearch — each maps to any object or custom field on the other side. | |
| 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. | Containers is specific to Azure Cosmos DB and Data streams to Elasticsearch — each maps to any object or custom field on the other side. | |
| 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. | Items (JSON documents) is specific to Azure Cosmos DB and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side. | |
| 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. | Partition keys is specific to Azure Cosmos DB and Index templates to Elasticsearch — each maps to any object or custom field on the other side. | |
| 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. | Change feed entries is specific to Azure Cosmos DB and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| 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. | Stored procedures and triggers is specific to Azure Cosmos DB and Documents to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between Azure Cosmos DB and Elasticsearch
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Azure Cosmos DB Elasticsearch Sub-second propagation
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch Azure Cosmos DB Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is applied to Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
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.
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.
- 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.
Azure Cosmos DB
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Azure Cosmos DB ⇄ ElasticsearchCustomers 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.
Azure Cosmos DB ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Cosmos DB and Elasticsearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Cosmos DB and Elasticsearch: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Databases and Containers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Azure Cosmos DB: 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. Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Azure Cosmos DB: The same account can be exposed through multiple wire-compatible APIs (NoSQL, MongoDB, Cassandra, Gremlin, Table), and the API choice fixes how a connector must speak to it. Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Elasticsearch 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 Azure Cosmos DB and Elasticsearch 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 Azure Cosmos DB and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–Elasticsearch integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust 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
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 452 integrations available for Azure Cosmos DB and Elasticsearch.
Popular · 5 of 452
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Azure Cosmos DB ⇄ MongoDB -
Elasticsearch ⇄ Supabase -
Elasticsearch ⇄ MySQL -
Elasticsearch ⇄ MariaDB -
Elasticsearch ⇄ SQL Server
No integrations match .
