Real-time
Two-way sync
Changes in Apache Pinot or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Apache Pinot to Starburst Enterprise integration — real-time, two-way sync
Keep Apache Pinot and Starburst Enterprise 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 Pinot and Starburst Enterprise
Keep tables consistent across Apache Pinot and Starburst Enterprise, 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 Pinot and Starburst Enterprise 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
- Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.
- Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
- Read federated views that join warehouse, lake, and database tables, then sync the result into operational tools like a CRM
- Expose Iceberg or Hive lake tables to sync jobs through one SQL endpoint without moving the data first
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
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.
What you can sync between Apache Pinot and Starburst Enterprise
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 Pinot objects | Starburst Enterprise objects | |
|---|---|---|
| Tenants Logical groupings that isolate workloads on shared clusters. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Columns Typed per the Trino type system, mapped from each source's native types. |
What ships with Apache Pinot ⇄ Starburst Enterprise
Connect Apache Pinot and Starburst Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Starburst Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Pinot or Starburst Enterprise 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 Pinot or Starburst Enterprise record.
Observability
Monitoring
Track your Apache Pinot ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Starburst Enterprise.
How the Apache Pinot and Starburst Enterprise connectors work
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
Starburst Enterprise
- Integration surface
- ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol
- Authentication
- Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos
- Change detection
- Query-based polling; Starburst is a query engine and exposes no change log of its own
- Capabilities
- read · write
- Rate limits
- Throughput is governed by cluster sizing and resource groups rather than API quotas
How it works
How to connect Apache Pinot to Starburst Enterprise — 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 Pinot and Starburst Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Pinot
connected
Starburst Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Pinot and Starburst Enterprise 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 Pinot ⇄ Starburst EnterpriseCustomers 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 Pinot Starburst EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Pinot and Starburst Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Pinot and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tenants and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Apache Pinot and Starburst Enterprise. 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 Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On Starburst Enterprise: Query-based polling; Starburst is a query engine and exposes no change log of its own. 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 Pinot side: Tenants, Tables, Schemas, Segments, plus custom fields where Apache Pinot exposes them. On the Starburst Enterprise side: Materialized views, Columns, Catalogs, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Pinot and Starburst Enterprise: Shared datasets across teams; Consolidation after M&A; Migration without a big bang. Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
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 Apache Pinot and Starburst Enterprise.
Popular · 8 of 386
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Apache Pinot ⇄ Yellowbrick -
Apache Pinot ⇄ Snowflake -
Apache Pinot ⇄ BigQuery -
Apache Pinot ⇄ MotherDuck -
Starburst Enterprise ⇄ IBM Netezza -
Starburst Enterprise ⇄ Materialize -
Starburst Enterprise ⇄ Rockset -
Starburst Enterprise ⇄ StarRocks
No integrations match .
