Real-time
Two-way sync
Changes in Apache Pinot or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Pinot to Dynamo DB integration — real-time, two-way sync
Keep Apache Pinot 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.
- 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 Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Pinot and Dynamo DB
Connect Dynamo DB and Apache Pinot 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 Apache Pinot, 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 Apache Pinot in real time, and result tables in Apache Pinot sync back into Dynamo DB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
- 02 Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
- 03 Stream item changes from DynamoDB application tables into a Postgres or warehouse copy for SQL analytics.
- 04 Sync customer records between DynamoDB-backed services and a CRM so support and sales see live application state.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Dynamo DB land in Apache Pinot as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Apache Pinot 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.
What you can sync between Apache Pinot 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.
| Apache Pinot objects | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Tables The top-level containers a sync targets; each table is addressed independently. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Indexes is specific to Apache Pinot and Global Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Tenants is specific to Apache Pinot and Items to Dynamo DB — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Schemas is specific to Apache Pinot and Attributes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Segments is specific to Apache Pinot and Partition and Sort Keys to Dynamo DB — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Real-time Tables is specific to Apache Pinot and Global Secondary Indexes to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between Apache Pinot and Dynamo DB
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.
Apache Pinot Dynamo DB Interval-based propagation
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Dynamo DB Apache Pinot 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 Apache Pinot as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Pinot: No fixed API quotas; query throughput depends on broker and server sizing.
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
What ships with Apache Pinot ⇄ Dynamo DB
Connect Apache Pinot and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Dynamo DB record.
Observability
Monitoring
Track your Apache Pinot ⇄ 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 Apache Pinot and Dynamo DB.
How the Apache Pinot and Dynamo DB connectors work
Apache Pinot
- Integration surface
- REST API (SQL queries via the broker; administration via the controller); JDBC client available
- Authentication
- Deployment-dependent: HTTP basic authentication or token-based auth where enabled
- Change detection
- Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
- Capabilities
- read · write
- Rate limits
- No fixed API quotas; query throughput depends on broker and server sizing
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 Apache Pinot 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.
- 01
Connect your apps
Authenticate Apache Pinot 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.
Apache Pinot
connected
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Pinot 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.
objects · Apache Pinot ⇄ Dynamo DBCustomers 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.
Apache Pinot Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Pinot and Dynamo DB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Pinot and Dynamo DB: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tables and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Apache Pinot and Dynamo DB 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 Apache Pinot and Dynamo DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–Dynamo DB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Pinot and Dynamo DB. 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 Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apache Pinot side: Segments, Real-time Tables, Offline Tables, Indexes, plus custom fields where Apache Pinot exposes them. On the Dynamo DB side: Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams, Global Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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
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