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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

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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

  • 01 Write updates from operational systems back into the document hub to keep the canonical record current.
  • 02 Keep reference datasets and semantically linked entities aligned across downstream applications.
  • 03 Stream committed VoltDB results out through export targets into a warehouse for historical analysis.
  • 04 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.

Common sync patterns

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 How this pairing syncs
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. Semantic Triples is specific to MarkLogic and Export Targets and Topics to VoltDB — 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. Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. TDE Views is specific to MarkLogic and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side.
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. Document Metadata & Properties is specific to MarkLogic and Replicated Tables to VoltDB — 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. Stored Procedures Precompiled transactional units that serve as the primary write interface. Databases & Forests is specific to MarkLogic and Stored Procedures to VoltDB — 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. Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. Users & Roles is specific to MarkLogic and Materialized Views to VoltDB — each maps to any object or custom field on the other side.
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. Documents is specific to MarkLogic and Streams to VoltDB — each maps to any object or custom field on the other side.

How changes propagate between MarkLogic and VoltDB

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 VoltDB 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 VoltDB as a row-level write, with types converted between the two schemas.

VoltDB MarkLogic Interval-based propagation

DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.

DeliveryEach detected change is applied to MarkLogic as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
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.

Real-time

Two-way sync

Changes in MarkLogic or VoltDB instantly reflect in both systems. No stale data, no manual imports.

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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    MarkLogic connected
    VoltDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · MarkLogic ⇄ VoltDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    MarkLogic VoltDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MarkLogic and VoltDB integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for MarkLogic and VoltDB.

Popular · 8 of 390
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