Two-way sync
Changes in IBM Netezza or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Netezza 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want VoltDB's rows in IBM Netezza, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in VoltDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in VoltDB sync into IBM Netezza in real time, and result tables in IBM Netezza sync back into VoltDB, with schema and type mapping between the two systems handled for you.
Rows from VoltDB land in IBM Netezza as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in IBM Netezza sync into VoltDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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.
| IBM Netezza objects | VoltDB objects | |
|---|---|---|
| Materialized views Precomputed results sometimes used as efficient read sources. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Sequences Key generators referenced when writing new rows. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| External tables File-backed load/unload paths used for bulk movement alongside row-level syncs. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Databases Top-level containers that scope a sync connection. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Schemas Namespace tables within a database. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Tables Distributed tables mapped directly to sync targets. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Netezza–VoltDB connection.
Changes in IBM Netezza or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Netezza or VoltDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Netezza or VoltDB record.
Track your IBM Netezza ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Netezza and VoltDB.
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.
Authenticate IBM Netezza 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.
Pick the IBM Netezza 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between IBM Netezza and VoltDB: authenticate both systems, choose the objects to sync (such as IBM Netezza's Materialized views and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Netezza: There is no log-based CDC surface, so incremental extraction relies on timestamp columns or staging patterns. VoltDB: The built-in export subsystem streams committed rows to external targets such as Kafka, which is the product's native change-propagation path. Stacksync's field mapping accounts for these differences between IBM Netezza and VoltDB without custom code.
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 IBM Netezza and VoltDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Netezza and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Netezza–VoltDB integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Netezza and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Netezza: Polling with timestamp or key-based cursors; no log-based CDC is exposed. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for IBM Netezza and VoltDB.