Two-way sync
Changes in Cloudera Data Platform or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Dynamo DB's rows in Cloudera Data Platform, 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 Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into Dynamo DB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Cloudera Data Platform sync into Dynamo DB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Cloudera Data Platform and keep Dynamo DB focused on its operational workload.
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.
| Cloudera Data Platform objects | Dynamo DB objects | |
|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Dynamo DB connection.
Changes in Cloudera Data Platform or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Dynamo DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Dynamo DB record.
Track your Cloudera Data Platform ⇄ Dynamo DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Dynamo DB.
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.
Authenticate Cloudera Data Platform 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.
Pick the Cloudera Data Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Dynamo DB: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Views, Partitions, Object store / HDFS files, Databases, plus custom fields where Cloudera Data Platform 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.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Cloudera Data Platform and Dynamo DB: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Cloudera Data Platform sync into Dynamo DB, where whatever reads from that database gets them without querying the warehouse.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Dynamo DB: Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries. Authentication: AWS IAM credentials with SigV4 request signing. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. 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 Cloudera Data Platform and Dynamo DB without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Cloudera Data Platform and Dynamo DB.