Real-time
Two-way sync
Changes in Dremio or MySQL instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to MySQL integration — real-time, two-way sync
Keep Dremio and MySQL 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
Case study
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and MySQL
Connect MySQL 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 MySQL'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 MySQL where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MySQL sync into Dremio in real time, and result tables in Dremio sync back into MySQL, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
- Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
Operational data in the warehouse, minus the pipeline
Rows from MySQL 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 MySQL, 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 MySQL
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 | MySQL objects | |
|---|---|---|
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Columns Field-level mapping targets with engine-typed values. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | JSON Columns Validated semi-structured payloads for nested SaaS data. | |
| Jobs Query execution records useful for monitoring sync workloads. | Stored Procedures Server-side logic that can post-process synced rows. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. |
What ships with Dremio ⇄ MySQL
Connect Dremio and MySQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–MySQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio or MySQL 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 MySQL record.
Observability
Monitoring
Track your Dremio ⇄ MySQL 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 MySQL.
How the Dremio and MySQL 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
MySQL
- Integration surface
- SQL wire protocol (MySQL client/server protocol)
- Authentication
- Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
- 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 MySQL — 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 MySQL 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
MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio and MySQL 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 ⇄ MySQLCustomers 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 MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and MySQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and MySQL: authenticate both systems, choose the objects to sync (such as Dremio's Apache Iceberg tables and Spaces and folders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Dremio and MySQL: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from MySQL land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
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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. MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). Stacksync manages authentication, retries, and rate limits on both sides.
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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. MySQL: Composite primary keys are not supported — primary key must be a single column. Stacksync's field mapping accounts for these differences between Dremio and MySQL 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 MySQL 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 MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–MySQL integration in-house.
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 MySQL.
Popular · 8 of 386
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Dremio ⇄ Amazon Aurora -
Dremio ⇄ Amazon Lightsail -
Dremio ⇄ Apache Cassandra -
Dremio ⇄ Azure Cosmos DB -
MySQL ⇄ Materialize -
MySQL ⇄ Rockset -
MySQL ⇄ Starburst Enterprise -
MySQL ⇄ StarRocks
No integrations match .
