Two-way sync
Changes in Amazon S3 or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and OCI Database (Oracle Cloud) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
A database holds structured records; a storage system holds the files those records depend on, such as contracts, images, exports, uploads, and documents. The two describe the same things from opposite sides: a row in OCI Database (Oracle Cloud) says a file exists and carries its name, location, and status, while Amazon S3 holds the bytes. Linked only by a hand-kept path or a one-off script, the two drift the moment a file is renamed, moved, or deleted and the record still points at where it used to be.
Stacksync syncs Tables, Views, Materialized views, Schemas in OCI Database (Oracle Cloud) with Object metadata, Object tags, Object versions, Prefixes (folders) in Amazon S3 bi-directionally and in real time. File attributes, including name, path or object key, size, type, modified time, owner, and tags or custom properties, map field by field to columns on the matching row, and a change on either side shows up on the other within seconds. New files appear as rows, metadata edits travel in the direction you choose, and deletes stay consistent, with conflict rules you set in place of nightly reconciliation scripts.
Where a record in OCI Database (Oracle Cloud) references a file in Amazon S3, such as a contract, an image, an export, or an upload, the reference, path, and status stay consistent as files are renamed, moved, or replaced, so stored links keep resolving.
Files that arrive in a folder or bucket in Amazon S3 become rows in OCI Database (Oracle Cloud) as they land, so a database-driven process can pick them up without polling the storage system's API.
Rows from OCI Database (Oracle Cloud) are written out to Amazon S3 as files on a schedule or as they change, giving a durable, low-cost copy for backup, compliance, or a data lake, without a custom export job to maintain.
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.
| Amazon S3 objects | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Tables The primary sync surface; rows are read and written directly over SQL | Object metadata is specific to Amazon S3 and Tables to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Views Read-only projections used to expose curated subsets to downstream systems | Object tags is specific to Amazon S3 and Views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | Object versions is specific to Amazon S3 and Materialized views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Schemas Namespace boundaries that scope which objects a sync connection can access | Prefixes (folders) is specific to Amazon S3 and Schemas to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | Sequences Key generators that matter when writing new rows from external systems | Multipart uploads is specific to Amazon S3 and Sequences to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Buckets is specific to Amazon S3 and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. |
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.
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is applied to OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.
DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–OCI Database (Oracle Cloud) connection.
Changes in Amazon S3 or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or OCI Database (Oracle Cloud) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or OCI Database (Oracle Cloud) record.
Track your Amazon S3 ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and OCI Database (Oracle Cloud).
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.
Authenticate Amazon S3 and OCI Database (Oracle Cloud) with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon S3 and OCI Database (Oracle Cloud) 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Amazon S3's Object metadata and Object tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. OCI Database (Oracle Cloud): SQL wire protocol (Oracle Net) via JDBC, ODBC, and native drivers; ORDS REST optionally exposes tables over HTTP. Authentication: Database credentials, commonly with mutual TLS using a client wallet on Autonomous Database; OCI IAM integration available. Stacksync manages authentication, retries, and rate limits on both sides.
OCI Database (Oracle Cloud): OCI database services run the same Oracle Database engine as on-premises installs, so PL/SQL, sequences, and redo-log CDC behave identically to self-managed Oracle. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and OCI Database (Oracle Cloud) without custom code.
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 Amazon S3 and OCI Database (Oracle Cloud) records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and OCI Database (Oracle Cloud) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–OCI Database (Oracle Cloud) integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and OCI Database (Oracle Cloud). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 425 integrations available for Amazon S3 and OCI Database (Oracle Cloud).