Real-time
Two-way sync
Changes in Dremio or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to VoltDB integration — real-time, two-way sync
Keep Dremio 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
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and VoltDB
Connect VoltDB and Dremio with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want VoltDB's rows in Dremio, 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 Dremio in real time, and result tables in Dremio sync back into VoltDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Push aggregates from VoltDB materialized views into dashboards or operational tools.
- Sync customer or account reference data from a CRM into VoltDB replicated tables for in-transaction lookups such as fraud or policy checks.
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into VoltDB, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep VoltDB focused on its operational workload.
What you can sync between Dremio 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.
| Dremio objects | VoltDB objects | |
|---|---|---|
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | |
| Jobs Query execution records useful for monitoring sync workloads. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. |
What ships with Dremio ⇄ VoltDB
Connect Dremio and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or VoltDB record.
Observability
Monitoring
Track your Dremio ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and VoltDB.
How the Dremio and VoltDB connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and VoltDB: authenticate both systems, choose the objects to sync (such as Dremio's Spaces and folders and Reflections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. 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.
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Dremio: DML (INSERT, UPDATE, DELETE) is supported on Apache Iceberg tables, making Dremio a writable target, not just a query layer. VoltDB: Data is held in memory, with durability provided by command logging and periodic snapshots. Stacksync's field mapping accounts for these differences between Dremio and VoltDB without custom code.
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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 Dremio 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 Dremio and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Dremio and VoltDB.
Popular · 8 of 386
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Dremio ⇄ Amazon RDS -
Dremio ⇄ Supabase -
Dremio ⇄ MySQL -
Dremio ⇄ MariaDB -
VoltDB ⇄ Azure Synapse Analytics -
VoltDB ⇄ ClickHouse -
VoltDB ⇄ Cloudera Data Platform -
VoltDB ⇄ Exasol
No integrations match .
