Two-way sync
Changes in Cloudera Data Platform or Ldap instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Ldap in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Cloudera Data Platform is the central store where teams keep Kudu tables, Iceberg tables, Views, Partitions for reporting and analysis; Ldap runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Operational attributes, Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user) produced in Ldap are exactly what analysts want to measure in Cloudera Data Platform, and the curated rows in Cloudera Data Platform are what should drive the next action in Ldap. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Kudu tables, Iceberg tables, Views, Partitions in Cloudera Data Platform with Operational attributes, Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user) in Ldap field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
A row scored, flagged, or enriched in Cloudera Data Platform creates or updates the matching record in Ldap, so the operational tool acts on the same data the analysts already see.
Load the existing set of Operational attributes, Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user) into Cloudera Data Platform once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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 | Ldap objects | How this pairing syncs | |
|---|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Operational attributes Server-maintained metadata such as modifyTimestamp, createTimestamp, entryUUID, entryCSN, and uSNChanged; read to drive incremental polling and to key entries stably across syncs. | Kudu tables is specific to Cloudera Data Platform and Operational attributes to Ldap — each maps to any object or custom field on the other side. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Schema (subschema subentry) The objectClass and attribute-type definitions the server exposes; read to validate that written attributes exist and are single- or multi-valued as expected. | Iceberg tables is specific to Cloudera Data Platform and Schema (subschema subentry) to Ldap — each maps to any object or custom field on the other side. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Entries The fundamental unit of an LDAP directory, each addressed by a distinguished name (DN) and typed by its objectClass; synced two-way as records, with the DN driving upserts and attribute-level updates. | Views is specific to Cloudera Data Platform and Entries to Ldap — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Person entries (inetOrgPerson / user) People held under objectClasses such as inetOrgPerson, person, or Active Directory user; synced two-way to create accounts and update attributes like mail, cn, and telephoneNumber. | Partitions is specific to Cloudera Data Platform and Person entries (inetOrgPerson / user) to Ldap — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Groups (groupOfNames / posixGroup) Group entries whose member or uniqueMember attributes list DNs; synced two-way to add and remove membership as teams and entitlements change. | Object store / HDFS files is specific to Cloudera Data Platform and Groups (groupOfNames / posixGroup) to Ldap — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Organizational units (ou) Container entries that structure the DIT and scope which subtree a sync reads or writes; used to limit a sync to a branch such as ou=People,dc=corp,dc=com. | Databases is specific to Cloudera Data Platform and Organizational units (ou) to Ldap — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to Ldap through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Ldap for changes on an incremental schedule, reading only records changed since the previous pass. No universal native change feed.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Ldap connection.
Changes in Cloudera Data Platform or Ldap instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Ldap 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 Ldap record.
Track your Cloudera Data Platform ⇄ Ldap sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Ldap.
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 Ldap 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 Ldap 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 Ldap: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Kudu tables and Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Kudu tables, Iceberg tables, Views, Partitions, plus custom fields where Cloudera Data Platform exposes them. On the Ldap side: Operational attributes, Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user). 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 Ldap: Warehouse signals reach Ldap; Backfill history, then stay live; No batch jobs to babysit. A row scored, flagged, or enriched in Cloudera Data Platform creates or updates the matching record in Ldap, so the operational tool acts on the same data the analysts already see.
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. Ldap: LDAPv3 protocol (RFC 4511) over TCP, typically LDAPS on port 636 or StartTLS on 389; reaches any LDAPv3 directory server - OpenLDAP, Microsoft Active Directory, 389 Directory Server, Oracle Unified Directory, PingDS/ForgeRock, NetIQ eDirectory, Apache Directory. Authentication: A bind DN and password (simple bind), typically over TLS, using a service account with rights to the target subtree. SASL mechanisms - GSSAPI/Kerberos, DIGEST-MD5, or EXTERNAL with a client certificate - are available where the server supports them. 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. Ldap: LDAP is a protocol (RFC 4511), not a product; it reaches any LDAPv3 directory - OpenLDAP, Active Directory, 389 Directory Server, Oracle Unified Directory, eDirectory - and server-specific behavior like changelogs and controls varies. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Ldap 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 315 integrations available for Cloudera Data Platform and Ldap.