Real-time
Two-way sync
Changes in MarkLogic or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Database
MarkLogic to VoltDB integration — real-time, two-way sync
Keep MarkLogic and VoltDB 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 VoltDB
Keep MarkLogic and VoltDB 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 VoltDB 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
- Write updates from operational systems back into the document hub to keep the canonical record current.
- Keep reference datasets and semantically linked entities aligned across downstream applications.
- Stream committed VoltDB results out through export targets into a warehouse for historical analysis.
- Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between MarkLogic and VoltDB
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 | VoltDB objects | |
|---|---|---|
| Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| TDE Views Relational projections of documents that let syncs read document data as SQL rows. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Databases & Forests Storage units that define the scope and placement of synced content. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Users & Roles Security principals that govern what an integration credential can read or write. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Documents JSON and XML documents, the primary records read from and written to the database. | Streams Insert-only constructs that feed the export subsystem with committed rows. |
What ships with MarkLogic ⇄ VoltDB
Connect MarkLogic and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MarkLogic–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MarkLogic or VoltDB 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 VoltDB record.
Observability
Monitoring
Track your MarkLogic ⇄ VoltDB 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 VoltDB.
How the MarkLogic and VoltDB 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
VoltDB
- Integration surface
- SQL over JDBC plus native client libraries and an HTTP/JSON interface
- Authentication
- Database credentials
- Change detection
- Export streams and topics push committed changes to configured targets; otherwise polling
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works
How to connect MarkLogic to VoltDB — 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 VoltDB 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
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MarkLogic and VoltDB 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 ⇄ VoltDBCustomers 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 VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MarkLogic and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MarkLogic and VoltDB: authenticate both systems, choose the objects to sync (such as MarkLogic's Semantic Triples and TDE Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 VoltDB 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 VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MarkLogic–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both MarkLogic and VoltDB. 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 VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the MarkLogic side: Semantic Triples, TDE Views, Document Metadata & Properties, Databases & Forests, plus custom fields where MarkLogic exposes them. On the VoltDB side: Partitioned Tables, Replicated Tables, Stored Procedures, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 VoltDB.
Popular · 8 of 386
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MarkLogic ⇄ MySQL -
MarkLogic ⇄ MariaDB -
MarkLogic ⇄ SQL Server -
MarkLogic ⇄ Postgres Heroku -
VoltDB ⇄ CockroachDB -
VoltDB ⇄ Google AlloyDB -
VoltDB ⇄ Dynamo DB -
VoltDB ⇄ IBM Db2
No integrations match .
