Two-way sync
Changes in Apache Druid or Asana instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Asana 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 Asana 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 Sections, Custom fields, Stories, Users from Asana into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in Asana where the tool can use them.
Combine Asana's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Apache Druid sync back onto records in Asana, putting analysis where the work happens.
A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Asana 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 Druid objects | Asana objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Tasks The primary unit of work and main record; created, updated, completed, and deleted via REST and synced two-way. Subtasks are Tasks with a parent reference. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Teams / Workspaces Organizational containers that hold projects and members; used to scope which projects a given sync covers. | Datasources is specific to Apache Druid and Teams / Workspaces to Asana — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Projects Collections of Tasks with a layout (list, board, timeline, calendar); each project maps to a synced table scope and its custom fields define the mapping. | Segments is specific to Apache Druid and Projects to Asana — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Sections Ordered groupings of Tasks within a project; synced as a grouping attribute or category field on the row. | Dimensions is specific to Apache Druid and Sections to Asana — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Custom fields Typed fields (text, number, enum, multi-enum, date, people) defined at project or workspace level; mapped to database columns, with enum values written by option GID. | Metrics is specific to Apache Druid and Custom fields to Asana — each maps to any object or custom field on the other side. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | Stories Comments and activity entries on a Task; read out for history and reporting or written back as comments. | Ingestion Supervisors is specific to Apache Druid and Stories to Asana — 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 Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is written to Asana through its API, with automatic retries and rate-limit backoff.
DetectionAsana notifies Stacksync of record changes through webhook events. Resource-scoped webhooks (established with an X-Hook-Secret handshake) POST events on create, change, and delete.
DeliveryEach detected change is applied to Apache Druid 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 Druid–Asana connection.
Changes in Apache Druid or Asana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Asana 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 Druid or Asana record.
Track your Apache Druid ⇄ Asana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Asana.
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 Druid and Asana 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 Druid and Asana 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 Druid and Asana: authenticate both systems, choose the objects to sync (such as Apache Druid's Tasks and Datasources), map fields visually, and changes propagate both ways in milliseconds — no code required.
Asana: Webhooks are established per resource with an X-Hook-Secret handshake and filtered by resource type and action, so a sync covering many projects registers and maintains a webhook on each target. Apache Druid: Streaming ingestion from Kafka or Kinesis is managed by supervisors designed to provide exactly-once ingestion semantics. Stacksync's field mapping accounts for these differences between Apache Druid and Asana without custom code.
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 Druid and Asana records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and Asana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Asana integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Druid and Asana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Asana: Resource-scoped webhooks (established with an X-Hook-Secret handshake) POST events on create, change, and delete; the sync-token Events API returns incremental changes on a task or project when webhooks are not used. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 445 integrations available for Apache Druid and Asana.