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Data warehouse ⇄ Database

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

Keep ClickHouse and Dynamo DB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect ClickHouse and Dynamo DB

Connect Dynamo DB and ClickHouse with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Dynamo DB's rows in ClickHouse, 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 Dynamo DB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Dynamo DB sync into ClickHouse in real time, and result tables in ClickHouse sync back into Dynamo DB, with schema and type mapping between the two systems handled for you.

Common use cases

  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 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.

Offload heavy reads

Point analytical queries at the synced copy in ClickHouse and keep Dynamo DB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Dynamo DB land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse sync into Dynamo DB, where whatever reads from that database gets them without querying the warehouse.

What you can sync between ClickHouse and Dynamo DB

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.

ClickHouse objects Dynamo DB objects
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. DynamoDB Streams Ordered item-level change records consumed for incremental sync.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Global Tables Multi-region replicas relevant when syncs must read from a specific region.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Tables The top-level containers a sync targets; each table is addressed independently.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs.
Databases Namespaces that group tables and scope permissions for sync users. Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync.
Views Saved queries used as curated, read-only sync sources. Partition and Sort Keys The primary key pair used as the match key for bi-directional sync.
What ships with ClickHouse ⇄ Dynamo DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the ClickHouse and Dynamo DB connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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
How it works

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

    Choose tables

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

ClickHouse and Dynamo DB 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 ClickHouse and Dynamo DB.

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