Real-time
Two-way sync
Changes in MarkLogic or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
MarkLogic to TimescaleDB integration — real-time, two-way sync
Keep MarkLogic and TimescaleDB 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MarkLogic and TimescaleDB
Keep MarkLogic and TimescaleDB 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 MarkLogic and TimescaleDB 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 Land document data in relational warehouses by reading TDE views as SQL rows.
- 02 Write updates from operational systems back into the document hub to keep the canonical record current.
- 03 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
- 04 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both MarkLogic and TimescaleDB, 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 MarkLogic and TimescaleDB
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.
| MarkLogic objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Collections Named groupings used to scope which documents a sync reads or updates. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Collections is specific to MarkLogic and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | Views Standard SQL views used to shape or filter data for consumers. | Semantic Triples is specific to MarkLogic and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| TDE Views Relational projections of documents that let syncs read document data as SQL rows. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | TDE Views is specific to MarkLogic and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Document Metadata & Properties is specific to MarkLogic and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Databases & Forests Storage units that define the scope and placement of synced content. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Databases & Forests is specific to MarkLogic and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals that govern what an integration credential can read or write. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Users & Roles is specific to MarkLogic and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between MarkLogic and TimescaleDB
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.
MarkLogic TimescaleDB Interval-based propagation
DetectionStacksync polls MarkLogic for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction log.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB MarkLogic Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is applied to MarkLogic as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with MarkLogic ⇄ TimescaleDB
Connect MarkLogic and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MarkLogic–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MarkLogic or TimescaleDB 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 MarkLogic or TimescaleDB record.
Observability
Monitoring
Track your MarkLogic ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MarkLogic and TimescaleDB.
How the MarkLogic and TimescaleDB connectors work
MarkLogic
- Integration surface
- 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
- Change detection
- No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup
- Capabilities
- read · write
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect MarkLogic to TimescaleDB — 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 MarkLogic and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MarkLogic
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MarkLogic and TimescaleDB 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 · MarkLogic ⇄ TimescaleDBCustomers 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.
MarkLogic TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MarkLogic and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MarkLogic and TimescaleDB: authenticate both systems, choose the objects to sync (such as MarkLogic's Collections and Semantic Triples), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for MarkLogic and TimescaleDB: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both MarkLogic and TimescaleDB, so each workload runs on the engine that suits it.
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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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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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. TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Stacksync's field mapping accounts for these differences between MarkLogic and TimescaleDB 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 MarkLogic and TimescaleDB 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 MarkLogic and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MarkLogic–TimescaleDB integration in-house.
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
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 392 integrations available for MarkLogic and TimescaleDB.
Popular · 8 of 392
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MarkLogic ⇄ Amazon Lightsail -
MarkLogic ⇄ Apache Cassandra -
MarkLogic ⇄ Azure Cosmos DB -
MarkLogic ⇄ Azure SQL Database -
TimescaleDB ⇄ Google Cloud Spanner - TimescaleDB ⇄ Google Cloud SQL
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TimescaleDB ⇄ IBM AS/400 -
TimescaleDB ⇄ IBM Informix
No integrations match .
