Can you integrate Dynamo DB with OpenSearch?

Yes. Stacksync provides a managed, real-time two-way integration between Dynamo DB and OpenSearch: authenticate both systems, choose the objects to sync (such as Dynamo DB's Attributes and Partition and Sort Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.

What makes Dynamo DB's data model different?

Dynamo DB: Queries are efficient only along key and index access paths; full-table scans are expensive, which makes stream-based sync preferable to polling. OpenSearch: Index templates and data streams control how time-series records are routed, which affects where synced events should land. Stacksync's field mapping accounts for these differences between Dynamo DB and OpenSearch without custom code.

Is the Dynamo DB–OpenSearch integration secure?

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 Dynamo DB and OpenSearch records are not retained after a sync operation.

How much does a Dynamo DB and OpenSearch integration cost?

Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dynamo DB and OpenSearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dynamo DB–OpenSearch integration in-house.

Is Stacksync a managed Dynamo DB–OpenSearch connector?

Yes — Stacksync ships production-grade connectors for both Dynamo DB and OpenSearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

How does the Dynamo DB to OpenSearch sync work?

Change detection on Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. On OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

Database

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

Keep Dynamo DB and OpenSearch 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
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Live sync

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Dynamo DB

OpenSearch

<1s: latency
2-way: sync
100M+: records

Adopted by fast-scaling companies moving mission-critical data in real time

Case study

Migrated from Mulesoft

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Migrated from Celigo

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 OpenSearch

Keep Dynamo DB and OpenSearch 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 OpenSearch 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

Sync customer records between DynamoDB-backed services and a CRM so support and sales see live application state.
Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
Index support tickets and activity logs from SaaS tools for operational dashboards.
Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

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 Dynamo DB and OpenSearch, 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.

What you can sync between Dynamo DB and OpenSearch

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		OpenSearch objects
Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync.	⇄	Ingest pipelines Server-side processors that transform documents as they are written
Partition and Sort Keys The primary key pair used as the match key for bi-directional sync.	⇄	Data streams Append-oriented time-series storage for logs and events pushed from source systems
Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes.	⇄	Snapshots Backup artifacts, relevant when reseeding an index from a repository
DynamoDB Streams Ordered item-level change records consumed for incremental sync.	⇄	Indexes The core container; synced records land in indexes with defined mappings
Global Tables Multi-region replicas relevant when syncs must read from a specific region.	⇄	Documents JSON records written via the index and bulk APIs and read via search queries
Tables The top-level containers a sync targets; each table is addressed independently.	⇄	Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills

What ships with Dynamo DB ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dynamo DB or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your Dynamo DB ⇄ OpenSearch 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 OpenSearch.

How the Dynamo DB and OpenSearch 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

OpenSearch

Integration surface: REST API over HTTP(S) with JSON payloads
Authentication: basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection: no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities: read · write
Rate limits: throughput bounded by cluster sizing rather than fixed API quotas

How it works

How to connect Dynamo DB to OpenSearch — 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 Dynamo DB and OpenSearch 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
OpenSearch connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Dynamo DB and OpenSearch 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 ⇄ OpenSearch

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 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.
- Auto-map
- Type casting
- Transforms
Dynamo DB OpenSearch

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

Dynamo DB and OpenSearch 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.

Learn more about security

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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Dynamo DB and OpenSearch.

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

Adopted by fast-scaling companies moving mission-critical data in real time