Two-way sync
Changes in Azure Cosmos DB or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and MarkLogic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 MarkLogic 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.
Keep the same dataset live in both Azure Cosmos DB and MarkLogic, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 | MarkLogic objects | |
|---|---|---|
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Users & Roles Security principals that govern what an integration credential can read or write. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Document Metadata & Properties Permissions, quality, and property fragments carried with each document. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–MarkLogic connection.
Changes in Azure Cosmos DB or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or MarkLogic data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Cosmos DB or MarkLogic record.
Track your Azure Cosmos DB ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and MarkLogic.
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.
Authenticate Azure Cosmos DB and MarkLogic with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Azure Cosmos DB and MarkLogic 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Cosmos DB and MarkLogic: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Items (JSON documents) and Partition keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Azure Cosmos DB side: Change feed entries, Stored procedures and triggers, Databases, Containers, plus custom fields where Azure Cosmos DB exposes them. On the MarkLogic side: Users & Roles, Documents, Collections, Semantic Triples. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Azure Cosmos DB and MarkLogic: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Azure Cosmos DB and MarkLogic, so each workload runs on the engine that suits it.
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. MarkLogic: REST API (Client API), plus SQL/ODBC access over TDE views and Java/Node client libraries. Authentication: Username/password (digest or basic), with certificate-based options. Stacksync manages authentication, retries, and rate limits on both sides.
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. MarkLogic: Template Driven Extraction (TDE) projects document content into rows that can be queried over SQL/ODBC, which simplifies warehouse-style reads. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and MarkLogic without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Azure Cosmos DB and MarkLogic.