Two-way sync
Changes in Ldap or SingleStore instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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 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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ldap–SingleStore connection.
Changes in Ldap or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ldap or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Ldap or SingleStore record.
Track your Ldap ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ldap and SingleStore.
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 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.
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.
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 Ldap and SingleStore: authenticate both systems, choose the objects to sync (such as Ldap's Operational attributes and Schema (subschema subentry)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Ldap and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Ldap: 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. On SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SingleStore side: Tables (rowstore and columnstore), Views, Reference Tables, Pipelines, plus custom fields where SingleStore exposes them. On the Ldap side: Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup). 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 Ldap and SingleStore: Turn rows into the records your tools track; Land tool activity as queryable rows; One integration pattern instead of per-tool API code. 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.
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 328 integrations available for Ldap and SingleStore.