Two-way sync
Changes in Cloudera Data Platform or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and InfluxDB 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 InfluxDB'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 InfluxDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in InfluxDB sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into InfluxDB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Cloudera Data Platform sync into InfluxDB, 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 InfluxDB 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 | InfluxDB objects | |
|---|---|---|
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Buckets / databases Named containers with retention settings that scope reads and writes. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Points Individual time-stamped records, the unit of write via line protocol. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Tags Indexed key-value metadata used for filtering and as sync partition keys. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Fields The unindexed numeric or string values carried by each point. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Retention policies Automatic expiry rules that determine how long synced history remains queryable. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–InfluxDB connection.
Changes in Cloudera Data Platform or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or InfluxDB 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 InfluxDB record.
Track your Cloudera Data Platform ⇄ InfluxDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and InfluxDB.
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 InfluxDB 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 InfluxDB 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 InfluxDB: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Databases and Hive tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. 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. InfluxDB: Writes use line protocol, where each point carries a measurement, tag set, field set, and timestamp. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and InfluxDB 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 InfluxDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–InfluxDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and InfluxDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 InfluxDB.