Real-time
Two-way sync
Changes in MarkLogic or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
MarkLogic to Postgres Heroku integration — real-time, two-way sync
Keep MarkLogic and Postgres Heroku 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MarkLogic and Postgres Heroku
Keep MarkLogic and Postgres Heroku 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 Postgres Heroku 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
- Sync curated master data from a MarkLogic data hub into operational CRMs and ERPs.
- Land document data in relational warehouses by reading TDE views as SQL rows.
- Reflect billing and subscription records into the app database so product logic reads local rows
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both MarkLogic and Postgres Heroku, 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.
What you can sync between MarkLogic and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| TDE Views Relational projections of documents that let syncs read document data as SQL rows. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Databases & Forests Storage units that define the scope and placement of synced content. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Users & Roles Security principals that govern what an integration credential can read or write. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Documents JSON and XML documents, the primary records read from and written to the database. | Tables Standard Postgres tables; the primary two-way sync target for app data. | |
| Collections Named groupings used to scope which documents a sync reads or updates. | Views Read-side projections exposed to outbound syncs. |
What ships with MarkLogic ⇄ Postgres Heroku
Connect MarkLogic and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MarkLogic–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MarkLogic or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your MarkLogic ⇄ Postgres Heroku 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 Postgres Heroku.
How the MarkLogic and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect MarkLogic to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MarkLogic and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MarkLogic and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MarkLogic and Postgres Heroku: authenticate both systems, choose the objects to sync (such as MarkLogic's TDE Views and Document Metadata & Properties), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between MarkLogic and Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MarkLogic–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both MarkLogic and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on MarkLogic: No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams love 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 386 integrations available for MarkLogic and Postgres Heroku.
Popular · 8 of 386
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MarkLogic ⇄ IBM Db2 -
MarkLogic ⇄ Firebase -
MarkLogic ⇄ SingleStore -
MarkLogic ⇄ Amazon Aurora -
Postgres Heroku ⇄ MySQL -
Postgres Heroku ⇄ MariaDB -
Postgres Heroku ⇄ SQL Server -
Postgres Heroku ⇄ Airtable
No integrations match .
