Two-way sync
Changes in Google Cloud Platform or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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 Google Cloud Platform, 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 Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into MarkLogic, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Google Cloud Platform and keep MarkLogic focused on its operational workload.
Rows from MarkLogic land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform 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.
| Google Cloud Platform objects | MarkLogic objects | |
|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | 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 Google Cloud Platform–MarkLogic connection.
Changes in Google Cloud Platform or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform 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 Google Cloud Platform or MarkLogic record.
Track your Google Cloud Platform ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform and MarkLogic: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Google Cloud Platform 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 Google Cloud Platform and keep MarkLogic focused on its operational workload.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. 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.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. MarkLogic: Every document is indexed for full-text search on ingest, so queries used for change polling can filter on content as well as metadata. Stacksync's field mapping accounts for these differences between Google Cloud Platform and MarkLogic without custom code.
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 Google Cloud Platform and MarkLogic records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and MarkLogic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–MarkLogic integration in-house.
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 Google Cloud Platform and MarkLogic.