Real-time
Two-way sync
Changes in AWS S3 or Exasol instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
AWS S3 to Exasol integration — real-time, two-way sync
Keep AWS S3 and Exasol 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 AWS S3 and Exasol
Keep tables consistent across AWS S3 and Exasol, 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 Exasol 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 Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
- 02 Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
- 03 Keep dimension tables such as customers and products aligned with the systems of record.
- 04 Load CRM and ERP records into Exasol tables on a schedule so analysts query fresh operational data.
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 AWS S3 and Exasol
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 | Exasol objects | How this pairing syncs | |
|---|---|---|---|
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | UDF scripts In-database functions that can transform synced data after load. | Event Notifications is specific to AWS S3 and UDF scripts to Exasol — 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. | Users and roles Grant read/write access for the dedicated integration account. | Access Points is specific to AWS S3 and Users and roles to Exasol — each maps to any object or custom field on the other side. | |
| Multipart Uploads The mechanism used to write large export files reliably. | Schemas Namespaces that group the tables a sync reads from or writes into. | Multipart Uploads is specific to AWS S3 and Schemas to Exasol — each maps to any object or custom field on the other side. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | Tables Primary sync target; columnar relational tables written with standard SQL. | Buckets is specific to AWS S3 and Tables to Exasol — each maps to any object or custom field on the other side. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Views Read-only query surfaces often used as curated sources for reverse ETL. | Objects is specific to AWS S3 and Views to Exasol — 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. | Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Prefixes is specific to AWS S3 and Virtual schemas to Exasol — each maps to any object or custom field on the other side. |
How changes propagate between AWS S3 and Exasol
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 Exasol 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 Exasol as a row-level write, with types converted between the two schemas.
Exasol AWS S3 Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
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.
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
What ships with AWS S3 ⇄ Exasol
Connect AWS S3 and Exasol for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Exasol connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS S3 or Exasol 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 Exasol record.
Observability
Monitoring
Track your AWS S3 ⇄ Exasol 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 Exasol.
How the AWS S3 and Exasol 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
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session limits
How it works
How to connect AWS S3 to Exasol — 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 Exasol 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
Exasol
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS S3 and Exasol 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 ⇄ ExasolCustomers 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 ExasolCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS S3 and Exasol integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Exasol: authenticate both systems, choose the objects to sync (such as AWS S3's Event Notifications and Access Points), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS S3: The namespace is flat: prefixes only simulate folders, and listing performance depends on how keys are partitioned. Exasol: Bulk loading uses the IMPORT statement, which is more efficient than row-by-row inserts for sync workloads. Stacksync's field mapping accounts for these differences between AWS S3 and Exasol 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 AWS S3 and Exasol 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 AWS S3 and Exasol connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS S3–Exasol integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS S3 and Exasol. 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 Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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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