Two-way sync
Changes in Amazon Redshift or Box instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Box in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon Redshift keeps the tables and query results a business reports on; Box keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Box that has to become rows in Amazon Redshift, or a result in Amazon Redshift that people downstream need back as a file in Box. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.
Stacksync syncs Users and Groups, Databases, Schemas, Tables in Amazon Redshift with Files, Folders, Metadata, Collaborations in Box field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Where the same dataset lives as a file in Box and a table in Amazon Redshift, a change on either side propagates to the other, ending the drift between the file people read and the table people query.
The catalog of documents, owners, and folders in Box appears as Users and Groups, Databases, Schemas, Tables in Amazon Redshift, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in Amazon Redshift are written back onto the matching Files, Folders, Metadata, Collaborations in Box as metadata or tags, so the file store reflects what analytics decided.
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 Redshift objects | Box objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed results that downstream syncs can read for performance. | Tasks Review or approval assignments on a file with due dates and states; read for workflow reporting or written to start approvals. | Materialized Views is specific to Amazon Redshift and Tasks to Box — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Events Enterprise admin event stream, an audit log of uploads, deletes, logins, and shares across the account; read-only, consumed for reporting or change feeds. | External Tables (Spectrum) is specific to Amazon Redshift and Events to Box — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Files Core content object with versions, name, size, and metadata; synced two-way so files and their attributes move between Box and a database or another store. | Stored Procedures is specific to Amazon Redshift and Files to Box — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Folders Hierarchical containers whose tree, names, and parent moves are mirrored so a target system reflects Box's structure; the account root is always folder ID 0. | Users and Groups is specific to Amazon Redshift and Folders to Box — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Metadata Structured key-value instances attached to files and folders via metadata templates; synced two-way with database columns for classification and search. | Databases is specific to Amazon Redshift and Metadata to Box — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | Collaborations Access grants linking a user or group to a file or folder with a role such as viewer, editor, or co-owner; written to manage sharing programmatically. | Schemas is specific to Amazon Redshift and Collaborations to Box — 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
DeliveryEach detected change is written to Box through its API, with automatic retries and rate-limit backoff.
DetectionBox notifies Stacksync of record changes through webhook events. V2 webhooks fire on triggers such as FILE.UPLOADED, FILE.TRASHED, and METADATA_INSTANCE.UPDATED.
DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Box connection.
Changes in Amazon Redshift or Box instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Box 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 Redshift or Box record.
Track your Amazon Redshift ⇄ Box sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Box.
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 Redshift and Box 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 Redshift and Box 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 Redshift and Box: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Materialized Views and External Tables (Spectrum)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon Redshift and Box: One dataset, kept consistent both ways; Where Box holds the file inventory: make it queryable; Where Amazon Redshift computes the labels: push them onto the files. Where the same dataset lives as a file in Box and a table in Amazon Redshift, a change on either side propagates to the other, ending the drift between the file people read and the table people query.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Box: REST API (api.box.com/2.0), plus the Events API and V2 Webhooks. Authentication: OAuth 2.0 for user-delegated access, or server-to-server auth via JWT (RSA keypair) or Client Credentials Grant (CCG) using a Box app; short-lived developer tokens for testing. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. Box: Rate limits are enforced per user; hitting them returns HTTP 429, and clients are expected to honor the Retry-After header with exponential backoff. Stacksync's field mapping accounts for these differences between Amazon Redshift and Box 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 Redshift and Box records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Redshift and Box connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Box integration in-house.
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 533 integrations available for Amazon Redshift and Box.