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Database

Dynamo DB to InfluxDB integration — real-time, two-way sync

Keep Dynamo DB and InfluxDB 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

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Migrated from Mulesoft
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Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Dynamo DB and InfluxDB

Keep Dynamo DB and InfluxDB 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 Dynamo DB and InfluxDB 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

  • Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
  • Consolidate multi-region Global Tables data into a single reporting store.
  • Push metered usage aggregates into billing systems to drive usage-based pricing.
  • Write events from operational databases or applications into InfluxDB as time-stamped points for monitoring.

Cross-engine sync

Keep the same dataset live in both Dynamo DB and InfluxDB, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

What you can sync between Dynamo DB and InfluxDB

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.

Dynamo DB objects InfluxDB objects
Tables The top-level containers a sync targets; each table is addressed independently. Buckets / databases Named containers with retention settings that scope reads and writes.
Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. Measurements The table-like grouping for points, typically mapped to a synced dataset.
Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. Points Individual time-stamped records, the unit of write via line protocol.
Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. Tags Indexed key-value metadata used for filtering and as sync partition keys.
Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. Fields The unindexed numeric or string values carried by each point.
DynamoDB Streams Ordered item-level change records consumed for incremental sync. Retention policies Automatic expiry rules that determine how long synced history remains queryable.
What ships with Dynamo DB ⇄ InfluxDB

Connect Dynamo DB and InfluxDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–InfluxDB connection.

Real-time

Two-way sync

Changes in Dynamo DB or InfluxDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dynamo DB or InfluxDB 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 Dynamo DB or InfluxDB record.

Observability

Monitoring

Track your Dynamo DB ⇄ InfluxDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Dynamo DB and InfluxDB.

How the Dynamo DB and InfluxDB connectors work

Dynamo DB

Integration surface
Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
Authentication
AWS IAM credentials with SigV4 request signing
Change detection
Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
Capabilities
read · write · CDC
Rate limits
Throughput is governed by the table's provisioned or on-demand capacity mode

InfluxDB

Integration surface
REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
Authentication
API token
Change detection
Polling with time-range queries; data is timestamped, so incremental reads use time cursors
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
How it works

How to connect Dynamo DB to InfluxDB — 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 Dynamo DB and InfluxDB 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
    Dynamo DB connected
    InfluxDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Dynamo DB and InfluxDB 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 · Dynamo DB ⇄ InfluxDB
    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
    Dynamo DB InfluxDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Dynamo DB and InfluxDB integration FAQ

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 Dynamo DB and InfluxDB.

Popular · 8 of 386
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