Real-time
Two-way sync
Changes in Apache Doris or Apache Pinot instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Apache Doris to Apache Pinot integration — real-time, two-way sync
Keep Apache Doris and Apache Pinot 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
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Doris and Apache Pinot
Keep tables consistent across Apache Doris and Apache Pinot, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Apache Doris and Apache Pinot continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Common use cases
- 01 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
- 02 Read aggregates from Doris and sync them into business tools like CRMs or spreadsheets.
- 03 Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
- 04 Serve user-facing analytics from Pinot while syncing daily rollups to finance and ops tools.
Common sync patterns
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Serve tools that only connect to one platform
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
What you can sync between Apache Doris and Apache Pinot
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 | Apache Pinot objects | How this pairing syncs | |
|---|---|---|---|
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Unique Key Tables is specific to Apache Doris and Schemas to Apache Pinot — each maps to any object or custom field on the other side. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Segments Immutable data files that batch ingestion uploads and the cluster serves. | Aggregate Key Tables is specific to Apache Doris and Segments to Apache Pinot — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Partitions is specific to Apache Doris and Real-time Tables to Apache Pinot — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Offline Tables Batch-loaded tables merged with real-time data at query time. | Materialized Views is specific to Apache Doris and Offline Tables to Apache Pinot — each maps to any object or custom field on the other side. | |
| Users and Roles Principals used to grant the sync connection scoped access. | Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Users and Roles is specific to Apache Doris and Indexes to Apache Pinot — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and Apache Pinot
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 Apache Pinot 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 Apache Pinot as a row-level write, with types converted between the two schemas.
Apache Pinot Apache Doris Interval-based propagation
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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.
- Apache Pinot: No fixed API quotas; query throughput depends on broker and server sizing.
What ships with Apache Doris ⇄ Apache Pinot
Connect Apache Doris and Apache Pinot for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Apache Pinot connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or Apache Pinot 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 Apache Pinot record.
Observability
Monitoring
Track your Apache Doris ⇄ Apache Pinot 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 Apache Pinot.
How the Apache Doris and Apache Pinot 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
Apache Pinot
- Integration surface
- REST API (SQL queries via the broker; administration via the controller); JDBC client available
- Authentication
- Deployment-dependent: HTTP basic authentication or token-based auth where enabled
- Change detection
- Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
- Capabilities
- read · write
- Rate limits
- No fixed API quotas; query throughput depends on broker and server sizing
How it works
How to connect Apache Doris to Apache Pinot — 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 Apache Pinot 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
Apache Pinot
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris and Apache Pinot 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 ⇄ Apache PinotCustomers 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 Apache PinotCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and Apache Pinot integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Apache Pinot: authenticate both systems, choose the objects to sync (such as Apache Doris's Tables and Unique Key Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Apache Doris and Apache Pinot: Consolidation after M&A; Migration without a big bang; Serve tools that only connect to one platform. Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
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Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. Stacksync manages authentication, retries, and rate limits on both sides.
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Apache Doris: Doris speaks the MySQL wire protocol, so standard MySQL clients and drivers connect to it without special adapters. Apache Pinot: Data is stored in immutable segments; batch writes happen by building and uploading segments rather than issuing row inserts. Stacksync's field mapping accounts for these differences between Apache Doris and Apache Pinot 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 Apache Doris and Apache Pinot records are not retained after a sync operation.
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
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