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Database ⇄ Storage

Amazon Lightsail to Amazon S3 integration — real-time, two-way sync

Keep Amazon Lightsail and Amazon S3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Lightsail and Amazon S3

Keep Amazon Lightsail and Amazon S3 in step: a row in Amazon Lightsail for every file in Amazon S3, with names, paths, metadata, and status staying consistent in real time, in both directions.

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 Amazon Lightsail 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, Users and Grants, Managed Databases in Amazon Lightsail with Objects, Object metadata, Object tags, Object versions 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.

Common use cases

  • 01 Push cleaned or enriched records from central systems back into the Lightsail database behind a small web app.
  • 02 Migrate data continuously from a Lightsail database to a larger managed database as an application outgrows the VPS tier.
  • 03 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
  • 04 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.

Common sync patterns

Continuous archival to file storage

Rows from Amazon Lightsail 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.

A queryable index of the file store

Every file or object in Amazon S3 shows up as a row in Amazon Lightsail, with its name, folder or key, size, type, and modified date as columns, so the contents of the store can be listed, filtered, and joined like any other table.

File metadata kept in step

Tags, custom properties, owner, or status columns edited on a row in Amazon Lightsail write back to the matching file's metadata in Amazon S3, and metadata changed in Amazon S3 updates the row, so the two never disagree about a file.

What you can sync between Amazon Lightsail and Amazon S3

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 Lightsail objects Amazon S3 objects How this pairing syncs
Databases Logical databases on the instance that scope a connection. Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. Databases is specific to Amazon Lightsail and Objects to Amazon S3 — each maps to any object or custom field on the other side.
Schemas Namespaces used when selecting tables to sync. 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. Schemas is specific to Amazon Lightsail and Object metadata to Amazon S3 — each maps to any object or custom field on the other side.
Tables Relational tables read from and written to at row level. 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. Tables is specific to Amazon Lightsail and Object tags to Amazon S3 — each maps to any object or custom field on the other side.
Views Query-backed read-only sources. 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. Views is specific to Amazon Lightsail and Object versions to Amazon S3 — each maps to any object or custom field on the other side.
Users and Grants Database accounts used to give the sync connection scoped access. Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. Users and Grants is specific to Amazon Lightsail and Prefixes (folders) to Amazon S3 — each maps to any object or custom field on the other side.
Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. 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. Managed Databases is specific to Amazon Lightsail and Multipart uploads to Amazon S3 — each maps to any object or custom field on the other side.

How changes propagate between Amazon Lightsail and Amazon S3

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.

Amazon Lightsail Amazon S3 Interval-based propagation

DetectionStacksync polls Amazon Lightsail for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.

DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.

Amazon S3 Amazon Lightsail Sub-second propagation

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 Amazon Lightsail as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Lightsail: No API-style rate limits; capacity is fixed by the chosen Lightsail bundle.
  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
What ships with Amazon Lightsail ⇄ Amazon S3

Connect Amazon Lightsail and Amazon S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Lightsail–Amazon S3 connection.

Real-time

Two-way sync

Changes in Amazon Lightsail or Amazon S3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Lightsail or Amazon S3 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 Amazon Lightsail or Amazon S3 record.

Observability

Monitoring

Track your Amazon Lightsail ⇄ Amazon S3 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Lightsail and Amazon S3.

How the Amazon Lightsail and Amazon S3 connectors work

Amazon Lightsail

Integration surface
MySQL or PostgreSQL wire protocol (SQL) to the managed database endpoint
Authentication
Database credentials; public endpoint access must be enabled or a tunnel used
Change detection
Polling on timestamp or key columns; log-based CDC depends on engine parameter access, which is more limited than on full RDS
Capabilities
read · write
Rate limits
No API-style rate limits; capacity is fixed by the chosen Lightsail bundle

Amazon S3

Integration surface
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
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
How it works

How to connect Amazon Lightsail to Amazon S3 — 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.

  1. 01

    Connect your apps

    Authenticate Amazon Lightsail and Amazon S3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Lightsail connected
    Amazon S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Lightsail and Amazon S3 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Lightsail ⇄ Amazon S3
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Lightsail Amazon S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Lightsail and Amazon S3 integration FAQ

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 428 integrations available for Amazon Lightsail and Amazon S3.

Popular · 7 of 428
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