Real-time
Two-way sync
Changes in Dynamo DB or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Dynamo DB to Yellowbrick integration — real-time, two-way sync
Keep Dynamo DB and Yellowbrick 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dynamo DB and Yellowbrick
Connect Dynamo DB and Yellowbrick 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 Yellowbrick, 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 Yellowbrick in real time, and result tables in Yellowbrick sync back into Dynamo DB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
- 02 Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.
- 03 Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
- 04 Consolidate multi-region Global Tables data into a single reporting store.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Yellowbrick sync into Dynamo DB, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Yellowbrick and keep Dynamo DB focused on its operational workload.
What you can sync between Dynamo DB and Yellowbrick
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 | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Schemas Namespaces used to organize synced datasets by source or domain. | Partition and Sort Keys is specific to Dynamo DB and Schemas to Yellowbrick — each maps to any object or custom field on the other side. | |
| Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Views Logical views used to shape reads for BI and downstream syncs. | Global Secondary Indexes is specific to Dynamo DB and Views to Yellowbrick — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Users and Roles Access-control objects that govern what a sync service account can read and write. | DynamoDB Streams is specific to Dynamo DB and Users and Roles to Yellowbrick — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Databases Top-level containers for schemas and tables. | Global Tables is specific to Dynamo DB and Databases to Yellowbrick — each maps to any object or custom field on the other side. |
How changes propagate between Dynamo DB and Yellowbrick
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Dynamo DB Yellowbrick Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is applied to Yellowbrick as a row-level write, with types converted between the two schemas.
Yellowbrick Dynamo DB Interval-based propagation
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
- Yellowbrick: No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
What ships with Dynamo DB ⇄ Yellowbrick
Connect Dynamo DB and Yellowbrick for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Yellowbrick connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dynamo DB or Yellowbrick 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 Yellowbrick record.
Observability
Monitoring
Track your Dynamo DB ⇄ Yellowbrick 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 Yellowbrick.
How the Dynamo DB and Yellowbrick 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
Yellowbrick
- Integration surface
- SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
- Authentication
- Database credentials, with LDAP and Kerberos options in enterprise deployments
- Change detection
- Polling on timestamp columns; no exposed transaction-log CDC
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works
How to connect Dynamo DB to Yellowbrick — 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 Yellowbrick with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Dynamo DB
connected
Yellowbrick
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dynamo DB and Yellowbrick 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 · Dynamo DB ⇄ YellowbrickCustomers 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.
Dynamo DB YellowbrickCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dynamo DB and Yellowbrick integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dynamo DB and Yellowbrick: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and Partition and Sort Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yellowbrick: The front end is PostgreSQL-compatible, so standard Postgres drivers and SQL tooling connect without custom clients. Dynamo DB: DynamoDB Streams records item-level inserts, updates, and deletes in order per partition key, giving a native incremental feed. Stacksync's field mapping accounts for these differences between Dynamo DB and Yellowbrick 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 Dynamo DB and Yellowbrick 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 Dynamo DB and Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dynamo DB–Yellowbrick integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dynamo DB and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams trust 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
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 377 integrations available for Dynamo DB and Yellowbrick.
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