Two-way sync
Changes in Apache Pinot or Monday instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot and Monday in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Monday is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Column values, Groups, Updates, Users from Monday into tables in Apache Pinot continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Pinot can also be written back into fields in Monday where the tool can use them.
Combine Monday's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Apache Pinot sync back onto records in Monday, putting analysis where the work happens.
A continuously synced copy in Apache Pinot preserves a queryable record even as data ages out of Monday or gets changed inside it.
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 Pinot objects | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Tenants Logical groupings that isolate workloads on shared clusters. | Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. | Tenants is specific to Apache Pinot and Items to Monday — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Tables is specific to Apache Pinot and Subitems to Monday — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Schemas is specific to Apache Pinot and Column values to Monday — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. | Segments is specific to Apache Pinot and Groups to Monday — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | Real-time Tables is specific to Apache Pinot and Updates to Monday — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Offline Tables is specific to Apache Pinot and Users to Monday — 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is written to Monday through its API, with automatic retries and rate-limit backoff.
DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.
DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Monday connection.
Changes in Apache Pinot or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or Monday data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Pinot or Monday record.
Track your Apache Pinot ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Monday.
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 Apache Pinot and Monday 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 Apache Pinot and Monday 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 Apache Pinot and Monday: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tenants and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Pinot and Monday records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and Monday connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–Monday integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and Monday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On Monday: Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Monday side: Column values, Groups, Updates, Users, plus custom fields where Monday exposes them. On the Apache Pinot side: Indexes, Tenants, Tables, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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 442 integrations available for Apache Pinot and Monday.