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Database ⇄ Developer tools

DuckDB to Ldap integration — real-time, two-way sync

Keep DuckDB 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 DuckDB and Ldap

Keep DuckDB and Ldap in step: the rows in your database and the Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup), Organizational units (ou) your engineering tools track stay consistent in real time, in both directions.

DuckDB 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 Database files, Schemas, Tables, Views in DuckDB with Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup), Organizational units (ou) 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 Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
  • 02 Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • 03 Two-way sync person and group entries between an LDAP directory (OpenLDAP or AD DS) and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.
  • 04 Write user entries and group memberships into an LDAP directory from an HR system of record to drive downstream application access.

Common sync patterns

Where Ldap manages users or groups: keep identity aligned

Directory and identity records in Ldap stay matched to the users or owners table in DuckDB, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in DuckDB creates or updates the matching record in Ldap, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

Land tool activity as queryable rows

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

What you can sync between DuckDB 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.

DuckDB objects Ldap objects How this pairing syncs
Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. 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. Database files is specific to DuckDB and Entries to Ldap — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to organize tables in sync outputs. 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. Schemas is specific to DuckDB and Person entries (inetOrgPerson / user) to Ldap — each maps to any object or custom field on the other side.
Tables Columnar tables created via SQL; the destination for materialized sync data. 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. Tables is specific to DuckDB and Groups (groupOfNames / posixGroup) to Ldap — each maps to any object or custom field on the other side.
Views SQL views used to shape or filter data for downstream consumers. 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. Views is specific to DuckDB and Organizational units (ou) to Ldap — each maps to any object or custom field on the other side.
External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. 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. External files (Parquet/CSV/JSON) is specific to DuckDB and Attributes to Ldap — each maps to any object or custom field on the other side.
Attached databases Additional database files or external systems attached into one session for cross-source queries. 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. Attached databases is specific to DuckDB and Operational attributes to Ldap — each maps to any object or custom field on the other side.

How changes propagate between DuckDB 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.

DuckDB Ldap Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

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

Ldap DuckDB 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 applied to DuckDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
  • 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 DuckDB ⇄ Ldap

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DuckDB 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 DuckDB or Ldap record.

Observability

Monitoring

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

Trading partners

EDI

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

How the DuckDB and Ldap connectors work

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O

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 DuckDB 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 DuckDB 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
    DuckDB connected
    Ldap connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DuckDB 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 · DuckDB ⇄ 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
    DuckDB Ldap
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DuckDB and Ldap integration FAQ

SECURITY

Security teams trust Stacksync

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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→ SECURITY WITH BENEFITS

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 327 integrations available for DuckDB and Ldap.

Popular · 6 of 327
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