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Developer tools ⇄ Database

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

Keep Ldap and SingleStore 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Ldap and SingleStore

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

SingleStore 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 Tables (rowstore and columnstore), Views, Reference Tables, Pipelines in SingleStore with Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup) 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 Sync results of real-time analytical queries back into business tools where teams act on them.
  • 02 Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
  • 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

Turn rows into the records your tools track

A new or changed row in SingleStore 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 SingleStore 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 SingleStore and Stacksync keeps Ldap current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.

What you can sync between Ldap and SingleStore

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.

Ldap objects SingleStore objects How this pairing syncs
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. Views Read-only projections used as curated sync sources. Operational attributes is specific to Ldap and Views to SingleStore — each maps to any object or custom field on the other side.
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. Reference Tables Small tables replicated to every node, often used for dimension data in syncs. Schema (subschema subentry) is specific to Ldap and Reference Tables to SingleStore — each maps to any object or custom field on the other side.
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. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Entries is specific to Ldap and Pipelines to SingleStore — each maps to any object or custom field on the other side.
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. Stored Procedures Existing logic sometimes invoked on write paths. Person entries (inetOrgPerson / user) is specific to Ldap and Stored Procedures to SingleStore — each maps to any object or custom field on the other side.
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. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Groups (groupOfNames / posixGroup) is specific to Ldap and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side.
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 The connection target containing the tables a sync addresses. Organizational units (ou) is specific to Ldap and Databases to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between Ldap and SingleStore

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.

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

SingleStore Ldap Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

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

Rate-limit considerations

  • 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.
  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with Ldap ⇄ SingleStore

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Ldap or SingleStore 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 Ldap or SingleStore record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Ldap and SingleStore connectors work

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.

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

How to connect Ldap to SingleStore — 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 Ldap and SingleStore 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
    Ldap connected
    SingleStore connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Ldap and SingleStore 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ 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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 328 integrations available for Ldap and SingleStore.

Popular · 8 of 328
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