Two-way sync
Changes in Amazon Redshift or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want MongoDB's rows in Amazon Redshift, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MongoDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MongoDB sync into Amazon Redshift in real time, and result tables in Amazon Redshift sync back into MongoDB, with schema and type mapping between the two systems handled for you.
Rows from MongoDB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Amazon Redshift sync into MongoDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | MongoDB objects | |
|---|---|---|
| Stored Procedures SQL procedures sometimes invoked around load steps. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Indexes Keep lookups by sync key fast on large collections. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Schemas Namespaces used to organize synced tables and control grants. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Views SQL views readable as modeled sources for reverse syncs. | Databases Logical groupings of collections that scope a sync connection. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–MongoDB connection.
Changes in Amazon Redshift or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or MongoDB 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 MongoDB record.
Track your Amazon Redshift ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and MongoDB.
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 MongoDB 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 MongoDB 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 MongoDB: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Stored Procedures and Users and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Amazon Redshift and MongoDB: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from MongoDB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Its SQL dialect derives from PostgreSQL, so standard Postgres drivers connect, though not all Postgres features exist. MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. Stacksync's field mapping accounts for these differences between Amazon Redshift and MongoDB 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 MongoDB records are not retained after a sync operation.
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 386 integrations available for Amazon Redshift and MongoDB.