Real-time
Two-way sync
Changes in Dremio or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to MariaDB integration — real-time, two-way sync
Keep Dremio and MariaDB 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
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and MariaDB
Connect MariaDB 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 MariaDB'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 MariaDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MariaDB sync into Dremio in real time, and result tables in Dremio sync back into MariaDB, 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.
- Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
- Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
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 MariaDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from MariaDB land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Dremio and MariaDB
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 | MariaDB objects | |
|---|---|---|
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Views Read-side projections used as outbound sync sources. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Columns Field-level mapping targets with engine-typed values. | |
| Jobs Query execution records useful for monitoring sync workloads. | Primary and Unique Keys Match keys for idempotent upserts. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | JSON Columns Semi-structured payloads validated with JSON functions. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Stored Procedures Server-side logic that can post-process synced rows. |
What ships with Dremio ⇄ MariaDB
Connect Dremio and MariaDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–MariaDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio or MariaDB 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 MariaDB record.
Observability
Monitoring
Track your Dremio ⇄ MariaDB 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 MariaDB.
How the Dremio and MariaDB 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
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Dremio to MariaDB — 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 MariaDB 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
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio and MariaDB 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 ⇄ MariaDBCustomers 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 MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and MariaDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and MariaDB: 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 is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. MariaDB: MariaDB is protocol- and binlog-compatible with MySQL, so most MySQL drivers and CDC tooling work unchanged. Stacksync's field mapping accounts for these differences between Dremio and MariaDB 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 MariaDB 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 MariaDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–MariaDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and MariaDB. 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 MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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 MariaDB.
Popular · 8 of 386
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Dremio ⇄ Google Cloud SQL -
Dremio ⇄ IBM AS/400 -
Dremio ⇄ IBM Informix -
Dremio ⇄ InfluxDB -
MariaDB ⇄ Google Cloud Platform -
MariaDB ⇄ Greenplum - MariaDB ⇄ IBM Netezza
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MariaDB ⇄ Materialize
No integrations match .
