Two-way sync
Changes in Cloudera Data Platform or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and OpenSearch 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 OpenSearch'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 OpenSearch where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in OpenSearch sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into OpenSearch, with schema and type mapping between the two systems handled for you.
Rows from OpenSearch land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Cloudera Data Platform sync into OpenSearch, 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.
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 | OpenSearch objects | |
|---|---|---|
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Index templates Mapping and settings presets applied to new indexes a sync creates | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Ingest pipelines Server-side processors that transform documents as they are written | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Indexes The core container; synced records land in indexes with defined mappings |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–OpenSearch connection.
Changes in Cloudera Data Platform or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or OpenSearch 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 OpenSearch record.
Track your Cloudera Data Platform ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and OpenSearch.
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 OpenSearch 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 OpenSearch 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 OpenSearch: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Impala tables and Kudu tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 OpenSearch: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from OpenSearch land in Cloudera Data Platform as they change, replacing hand-built CDC and batch extract jobs.
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. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. OpenSearch: OpenSearch exposes no built-in change feed, so it usually serves as a sync destination with sources pushing documents in through the bulk API. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and OpenSearch without custom code.
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 Cloudera Data Platform and OpenSearch records are not retained after a sync operation.
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 OpenSearch.