Two-way sync
Changes in Azure Synapse Analytics or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want MarkLogic's rows in Azure Synapse Analytics, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MarkLogic where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MarkLogic sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into MarkLogic, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep MarkLogic focused on its operational workload.
Rows from MarkLogic land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics sync into MarkLogic, where whatever reads from that database gets them without querying the warehouse.
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 Synapse Analytics objects | MarkLogic objects | |
|---|---|---|
| Schemas Namespaces that separate staging, integration, and presentation layers. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Databases & Forests Storage units that define the scope and placement of synced content. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–MarkLogic connection.
Changes in Azure Synapse Analytics or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Synapse Analytics or MarkLogic record.
Track your Azure Synapse Analytics ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Synapse Analytics 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 Synapse Analytics 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 Synapse Analytics and MarkLogic: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Schemas and Materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Azure Synapse Analytics side: SQL pools, Tables (dedicated SQL pool), External tables, Views, plus custom fields where Azure Synapse Analytics 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 Synapse Analytics and MarkLogic: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Azure Synapse Analytics and keep MarkLogic focused on its operational workload.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. 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 Synapse Analytics: Batch-style loading (staged, set-based inserts) performs far better than row-by-row writes, which shapes how a sync should deliver data into 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 Synapse Analytics 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 Synapse Analytics and MarkLogic.