Real-time
Two-way sync
Changes in AWS S3 or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
AWS S3 to Starburst Enterprise integration — real-time, two-way sync
Keep AWS S3 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS S3 and Starburst Enterprise
Keep tables consistent across AWS S3 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 AWS S3 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
- 01 Archive change history from ongoing syncs as timestamped files for audit and replay.
- 02 Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
- 03 Consolidate reads from multiple databases behind a single connection instead of maintaining one integration per source
- 04 Write curated or reconciled results back to lakehouse tables through connectors that support inserts
Common sync patterns
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 AWS S3 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.
| AWS S3 objects | Starburst Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Tables Queryable relations; writes pass through to sources whose connectors support them. | Objects is specific to AWS S3 and Tables to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Views Engine-level SQL views used to shape federated data before syncing it out. | Prefixes is specific to AWS S3 and Views to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | Materialized views Precomputed results that make repeated sync reads cheaper. | Object Metadata is specific to AWS S3 and Materialized views to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Columns Typed per the Trino type system, mapped from each source's native types. | Object Versions is specific to AWS S3 and Columns to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | Event Notifications is specific to AWS S3 and Catalogs to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | Access Points is specific to AWS S3 and Schemas to Starburst Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between AWS S3 and Starburst Enterprise
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.
AWS S3 Starburst Enterprise Sub-second propagation
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
DeliveryEach detected change is applied to Starburst Enterprise as a row-level write, with types converted between the two schemas.
Starburst Enterprise AWS S3 Interval-based propagation
DetectionStacksync polls Starburst Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
DeliveryEach detected change is written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
- Starburst Enterprise: Throughput is governed by cluster sizing and resource groups rather than API quotas.
What ships with AWS S3 ⇄ Starburst Enterprise
Connect AWS S3 and Starburst Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Starburst Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS S3 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 AWS S3 or Starburst Enterprise record.
Observability
Monitoring
Track your AWS S3 ⇄ 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 AWS S3 and Starburst Enterprise.
How the AWS S3 and Starburst Enterprise connectors work
AWS S3
- Integration surface
- REST API (the S3 API), accessed directly or through AWS SDKs
- Authentication
- AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
- Change detection
- S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
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 AWS S3 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 AWS S3 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.
AWS S3
connected
Starburst Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS S3 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 · AWS S3 ⇄ 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.
AWS S3 Starburst EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS S3 and Starburst Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as AWS S3's Objects and Prefixes), 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 AWS S3 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 AWS S3: S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback. 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 AWS S3 side: Buckets, Objects, Prefixes, Object Metadata, plus custom fields where AWS S3 exposes them. On the Starburst Enterprise side: Views, Materialized views, Columns, Catalogs. 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 AWS S3 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 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:
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