Real-time
Two-way sync
Changes in MongoDB or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Database
MongoDB to SingleStore integration — real-time, two-way sync
Keep MongoDB and SingleStore 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 MongoDB and SingleStore
Keep MongoDB and SingleStore synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between MongoDB and SingleStore continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- Sync results of real-time analytical queries back into business tools where teams act on them.
- Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both MongoDB and SingleStore, so each workload runs on the engine that suits it.
What you can sync between MongoDB and SingleStore
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.
| MongoDB objects | SingleStore objects | |
|---|---|---|
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | |
| Indexes Keep lookups by sync key fast on large collections. | Views Read-only projections used as curated sync sources. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Stored Procedures Existing logic sometimes invoked on write paths. | |
| Databases Logical groupings of collections that scope a sync connection. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. |
What ships with MongoDB ⇄ SingleStore
Connect MongoDB and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MongoDB or SingleStore 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 MongoDB or SingleStore record.
Observability
Monitoring
Track your MongoDB ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between MongoDB and SingleStore.
How the MongoDB and SingleStore connectors work
MongoDB
- Integration surface
- 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
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect MongoDB to SingleStore — 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 MongoDB and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MongoDB
connected
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MongoDB and SingleStore 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 · MongoDB ⇄ SingleStoreCustomers 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.
MongoDB SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MongoDB and SingleStore integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between MongoDB and SingleStore: authenticate both systems, choose the objects to sync (such as MongoDB's Embedded documents and arrays and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for MongoDB and SingleStore: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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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. SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Stacksync's field mapping accounts for these differences between MongoDB and SingleStore 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 MongoDB and SingleStore 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 MongoDB and SingleStore connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–SingleStore integration in-house.
SECURITY
Security teams love 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
CSA STAR
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
Every pair below is a real-time, two-way sync. Search all 386 integrations available for MongoDB and SingleStore.
Popular · 8 of 386
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MongoDB ⇄ SQL Server -
MongoDB ⇄ Postgres Heroku -
MongoDB ⇄ Airtable -
MongoDB ⇄ AWS Aurora MySQL -
SingleStore ⇄ DuckDB -
SingleStore ⇄ Elasticsearch -
SingleStore ⇄ Google Cloud Spanner - SingleStore ⇄ Google Cloud SQL
No integrations match .
