Real-time
Two-way sync
Changes in Apache Doris or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Doris to SingleStore integration — real-time, two-way sync
Keep Apache Doris and SingleStore 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
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Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Doris and SingleStore
Connect SingleStore and Apache Doris 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 SingleStore's rows in Apache Doris, 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 SingleStore where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SingleStore sync into Apache Doris in real time, and result tables in Apache Doris sync back into SingleStore, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
- 02 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
- 03 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.
- 04 Sync results of real-time analytical queries back into business tools where teams act on them.
Common sync patterns
Offload heavy reads
Point analytical queries at the synced copy in Apache Doris and keep SingleStore focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from SingleStore land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Apache Doris sync into SingleStore, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Apache Doris and SingleStore
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.
| Apache Doris objects | SingleStore objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers that scope connections and grants. | Databases The connection target containing the tables a sync addresses. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Partitions Range or list partitions that bound incremental loads. | Views Read-only projections used as curated sync sources. | Partitions is specific to Apache Doris and Views to SingleStore — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | Materialized Views is specific to Apache Doris and Reference Tables to SingleStore — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | Users and Roles is specific to Apache Doris and Pipelines to SingleStore — each maps to any object or custom field on the other side. | |
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Stored Procedures Existing logic sometimes invoked on write paths. | Tables is specific to Apache Doris and Stored Procedures to SingleStore — each maps to any object or custom field on the other side. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | Unique Key Tables is specific to Apache Doris and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and SingleStore
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Doris SingleStore Interval-based propagation
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
DeliveryEach detected change is applied to SingleStore as a row-level write, with types converted between the two schemas.
SingleStore Apache Doris Interval-based propagation
DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.
DeliveryEach detected change is applied to Apache Doris as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
- SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Apache Doris ⇄ SingleStore
Connect Apache Doris and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or SingleStore 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 Apache Doris or SingleStore record.
Observability
Monitoring
Track your Apache Doris ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Doris and SingleStore.
How the Apache Doris and SingleStore connectors work
Apache Doris
- Integration surface
- MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
- Authentication
- Database credentials
- Change detection
- Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
- Capabilities
- read · write
- Rate limits
- No API quotas; load throughput depends on cluster resources and load-job configuration
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect Apache Doris to SingleStore — 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 Apache Doris and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Doris
connected
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and SingleStore 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 · Apache Doris ⇄ SingleStoreCustomers 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.
Apache Doris SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and SingleStore integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and SingleStore: authenticate both systems, choose the objects to sync (such as Apache Doris's Databases and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Apache Doris and SingleStore 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 Apache Doris and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–SingleStore integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Doris and SingleStore. 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 Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. On SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apache Doris side: Partitions, Materialized Views, Users and Roles, Databases, plus custom fields where Apache Doris exposes them. On the SingleStore side: Reference Tables, Pipelines, Stored Procedures, Indexes and Shard Keys. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams trust 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
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 381 integrations available for Apache Doris and SingleStore.
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