Two-way sync
Changes in InfluxDB or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep InfluxDB 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.
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 InfluxDB and MongoDB 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.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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.
| InfluxDB objects | MongoDB objects | |
|---|---|---|
| Tags Indexed key-value metadata used for filtering and as sync partition keys. | Indexes Keep lookups by sync key fast on large collections. | |
| Fields The unindexed numeric or string values carried by each point. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Retention policies Automatic expiry rules that determine how long synced history remains queryable. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Buckets / databases Named containers with retention settings that scope reads and writes. | Databases Logical groupings of collections that scope a sync connection. | |
| Measurements The table-like grouping for points, typically mapped to a synced dataset. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InfluxDB–MongoDB connection.
Changes in InfluxDB or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever InfluxDB 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 InfluxDB or MongoDB record.
Track your InfluxDB ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between InfluxDB 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 InfluxDB 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 InfluxDB 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 InfluxDB and MongoDB: authenticate both systems, choose the objects to sync (such as InfluxDB's Tags and Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the InfluxDB side: Fields, Retention policies, Organizations, Buckets / databases, plus custom fields where InfluxDB exposes them. On the MongoDB side: Documents, Embedded documents and arrays, Indexes, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 InfluxDB and MongoDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. 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.
InfluxDB: Retention policies expire data automatically, meaning long-term syncs must land data elsewhere before it ages out. MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Stacksync's field mapping accounts for these differences between InfluxDB and MongoDB without custom code.
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 InfluxDB and MongoDB.