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Apache Cassandra to Ldap integration — real-time, two-way sync

Keep Apache Cassandra 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.

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Why teams connect Apache Cassandra and Ldap

Keep Apache Cassandra and Ldap in step: the rows in your database and the Groups (groupOfNames / posixGroup), Organizational units (ou), Attributes, Operational attributes your engineering tools track stay consistent in real time, in both directions.

Apache Cassandra is where your application's durable data lives; Ldap is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs Partitions and Rows, Materialized Views, Secondary Indexes, User-Defined Types in Apache Cassandra with Groups (groupOfNames / posixGroup), Organizational units (ou), Attributes, Operational attributes in Ldap field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Consolidate data from multiple keyspaces or clusters into one reporting store.
  • 02 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 03 Incrementally sync changed entries by polling modifyTimestamp, keeping a downstream store fresh without dumping the whole directory each cycle.
  • 04 Keep group member and uniqueMember attributes aligned with application entitlement tables so directory access reflects the right teams as they change.

Common sync patterns

Land tool activity as queryable rows

Records and events from Ldap arrive in Apache Cassandra as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

One integration pattern instead of per-tool API code

Read and write the synced tables in Apache Cassandra and Stacksync keeps Ldap current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

React to changes on either side in near real time

Updates in Ldap arrive as row changes in Apache Cassandra, and writes to Apache Cassandra propagate to Ldap within seconds, so triggers, jobs, and alerts fire without polling.

What you can sync between Apache Cassandra and Ldap

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.

Apache Cassandra objects Ldap objects How this pairing syncs
Collections List, set, and map columns handled with type-aware field mapping. 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. Collections is specific to Apache Cassandra and Entries to Ldap — each maps to any object or custom field on the other side.
Counters Increment-only counter columns, usually read-only in syncs. 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. Counters is specific to Apache Cassandra and Person entries (inetOrgPerson / user) to Ldap — each maps to any object or custom field on the other side.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. 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. Keyspaces is specific to Apache Cassandra and Groups (groupOfNames / posixGroup) to Ldap — each maps to any object or custom field on the other side.
Tables Wide-column tables addressed by partition key, the unit of row-level sync. 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. Tables is specific to Apache Cassandra and Organizational units (ou) to Ldap — each maps to any object or custom field on the other side.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Attributes The typed name/value pairs on each entry (cn, mail, memberOf, objectClass); the schema defines which attributes each objectClass allows, and mappings are built per attribute. Partitions and Rows is specific to Apache Cassandra and Attributes to Ldap — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. 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. Materialized Views is specific to Apache Cassandra and Operational attributes to Ldap — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Ldap

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.

Apache Cassandra Ldap Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

DeliveryEach detected change is written to Ldap through its API, with automatic retries and rate-limit backoff.

Ldap Apache Cassandra Interval-based propagation

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 written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • Ldap: LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
What ships with Apache Cassandra ⇄ Ldap

Connect Apache Cassandra and Ldap for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Ldap connection.

Real-time

Two-way sync

Changes in Apache Cassandra or Ldap instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Ldap data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Apache Cassandra or Ldap record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Ldap sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Ldap.

How the Apache Cassandra and Ldap connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

Ldap

Integration surface
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.
Change detection
No universal native change feed. Incremental sync polls the modifyTimestamp operational attribute (or entryCSN / uSNChanged on servers that expose them) for entries changed since the last cursor; detecting deletes needs a server changelog or tombstones because a plain search cannot see removed entries. Some servers add Persistent Search or RFC 4533 content-sync (syncrepl), but that support is server-specific. No webhooks.
Capabilities
read · write
Rate limits
LDAP defines no request quota; throughput is bounded by the server's sizelimit and timelimit administrative limits, connection and thread caps, and the CPU/IO it shares with live authentication traffic, so large syncs can contend with production lookups and must page results.
How it works

How to connect Apache Cassandra to Ldap — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Apache Cassandra 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Cassandra connected
    Ldap connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra ⇄ Ldap
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Cassandra Ldap
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and Ldap integration FAQ

SECURITY

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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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 309 integrations available for Apache Cassandra and Ldap.

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