Real-time
Two-way sync
Changes in Dremio or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to YugabyteDB integration — real-time, two-way sync
Keep Dremio 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.
- 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and YugabyteDB
Connect YugabyteDB 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 YugabyteDB'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 YugabyteDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in YugabyteDB sync into Dremio in real time, and result tables in Dremio sync back into YugabyteDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
- Two-way sync between YugabyteDB application tables and a CRM so product data and account records stay consistent.
Operational data in the warehouse, minus the pipeline
Rows from YugabyteDB land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into YugabyteDB, 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.
What you can sync between Dremio 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.
| Dremio objects | YugabyteDB objects | |
|---|---|---|
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Indexes Global secondary indexes maintained transactionally alongside table writes. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Sequences ID generation objects relevant when syncing writes into YSQL tables. |
What ships with Dremio ⇄ YugabyteDB
Connect Dremio and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or YugabyteDB record.
Observability
Monitoring
Track your Dremio ⇄ YugabyteDB 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 YugabyteDB.
How the Dremio and YugabyteDB 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
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 Dremio 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.
- 01
Connect your apps
Authenticate Dremio 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.
Dremio
connected
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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.
objects · Dremio ⇄ YugabyteDBCustomers 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 YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and YugabyteDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and YugabyteDB: authenticate both systems, choose the objects to sync (such as Dremio's Sources and Physical datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Dremio: Dremio queries data in place on lake storage (S3, ADLS, HDFS) rather than ingesting it, so syncs read through Dremio to underlying files and Iceberg tables. YugabyteDB: CDC is exposed from the storage-layer WAL through PostgreSQL logical replication and Debezium-compatible connectors. Stacksync's field mapping accounts for these differences between Dremio and YugabyteDB 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 YugabyteDB 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 YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–YugabyteDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. On YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 YugabyteDB.
Popular · 8 of 386
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Dremio ⇄ IBM Db2 -
Dremio ⇄ Firebase -
Dremio ⇄ SingleStore -
Dremio ⇄ Amazon Aurora -
YugabyteDB ⇄ Apache Pinot -
YugabyteDB ⇄ Azure Synapse Analytics -
YugabyteDB ⇄ ClickHouse -
YugabyteDB ⇄ Cloudera Data Platform
No integrations match .
