Two-way sync
Changes in Cloudera Data Platform or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and YugabyteDB 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 YugabyteDB'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 YugabyteDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in YugabyteDB sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into YugabyteDB, with schema and type mapping between the two systems handled for you.
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 YugabyteDB focused on its operational workload.
Rows from YugabyteDB land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
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 | YugabyteDB objects | |
|---|---|---|
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Indexes Global secondary indexes maintained transactionally alongside table writes. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Sequences ID generation objects relevant when syncing writes into YSQL tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–YugabyteDB connection.
Changes in Cloudera Data Platform or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or YugabyteDB 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 YugabyteDB record.
Track your Cloudera Data Platform ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and YugabyteDB.
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 YugabyteDB 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 YugabyteDB 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 YugabyteDB: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Object store / HDFS files and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Impala tables, Kudu tables, Iceberg tables, Views, plus custom fields where Cloudera Data Platform exposes them. On the YugabyteDB side: Sequences, CDC Streams, Databases and Keyspaces, 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 YugabyteDB: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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. YugabyteDB: SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API. Authentication: Database credentials. 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. YugabyteDB: A second, Cassandra-compatible API (YCQL) is available alongside YSQL on the same cluster. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and YugabyteDB 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 YugabyteDB.