Two-way sync
Changes in Snowflake or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Keep Snowflake 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 Snowflake, 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 Snowflake in real time, and result tables in Snowflake sync back into VoltDB, with schema and type mapping between the two systems handled for you.
Rows from VoltDB land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Snowflake 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.
| Snowflake objects | VoltDB objects | |
|---|---|---|
| Databases Top-level containers that scope which data a sync can touch. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Schemas Namespaces within a database used to organize synced tables. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Tables The main landing and activation target for synced records. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Views Modeled projections used as the source side of outbound syncs. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Materialized Views Precomputed results synced outward for low-latency reads. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Streams Row-level change records on a table, consumed to process deltas instead of full scans. | 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 Snowflake–VoltDB connection.
Changes in Snowflake or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Snowflake 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 Snowflake or VoltDB record.
Track your Snowflake ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Snowflake 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 Snowflake 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 Snowflake 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 Snowflake and VoltDB: authenticate both systems, choose the objects to sync (such as Snowflake's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. VoltDB: SQL over JDBC plus native client libraries and an HTTP/JSON interface. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. VoltDB: Data is held in memory, with durability provided by command logging and periodic snapshots. Stacksync's field mapping accounts for these differences between Snowflake 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 Snowflake and VoltDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Snowflake and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Snowflake–VoltDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Snowflake and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Snowflake and VoltDB.