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VoltDB to YugabyteDB integration — real-time, two-way sync

Keep VoltDB and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect VoltDB and YugabyteDB

Keep VoltDB and YugabyteDB 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 VoltDB and YugabyteDB 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 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
  • 02 Push aggregates from VoltDB materialized views into dashboards or operational tools.
  • 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
  • 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.

Common sync patterns

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.

Cross-engine sync

Keep the same dataset live in both VoltDB and YugabyteDB, so each workload runs on the engine that suits it.

What you can sync between VoltDB and YugabyteDB

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.

VoltDB objects YugabyteDB objects How this pairing syncs
Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. Materialized Views Precomputed query results available in YSQL for read-side shaping. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Streams Insert-only constructs that feed the export subsystem with committed rows. CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. Streams is specific to VoltDB and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side.
Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. Export Targets and Topics is specific to VoltDB and Databases and Keyspaces to YugabyteDB — each maps to any object or custom field on the other side.
Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. Tables Distributed SQL tables split into tablets; the primary read and write targets. Partitioned Tables is specific to VoltDB and Tables to YugabyteDB — each maps to any object or custom field on the other side.
Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. Indexes Global secondary indexes maintained transactionally alongside table writes. Replicated Tables is specific to VoltDB and Indexes to YugabyteDB — each maps to any object or custom field on the other side.
Stored Procedures Precompiled transactional units that serve as the primary write interface. Schemas Postgres-style namespaces in YSQL used to organize synced data. Stored Procedures is specific to VoltDB and Schemas to YugabyteDB — each maps to any object or custom field on the other side.

How changes propagate between VoltDB and YugabyteDB

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.

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

YugabyteDB VoltDB Sub-second propagation

DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.

DeliveryEach detected change is applied to VoltDB 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.
  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with VoltDB ⇄ YugabyteDB

Connect VoltDB and YugabyteDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every VoltDB–YugabyteDB connection.

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever VoltDB or YugabyteDB 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 VoltDB or YugabyteDB record.

Observability

Monitoring

Track your VoltDB ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between VoltDB and YugabyteDB.

How the VoltDB and YugabyteDB connectors work

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.

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect VoltDB to YugabyteDB — 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 VoltDB and YugabyteDB 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
    VoltDB connected
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the VoltDB and YugabyteDB 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 · VoltDB ⇄ YugabyteDB
    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
    VoltDB YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

VoltDB and YugabyteDB 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 VoltDB and YugabyteDB.

Popular · 8 of 390
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