Two-way sync
Changes in Apache Cassandra or Quip instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Quip in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Quip through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Apache Cassandra.
Stacksync mirrors Documents, Spreadsheets, Folders, Messages from Quip into Partitions and Rows, Materialized Views, Secondary Indexes, User-Defined Types in Apache Cassandra and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Quip, so the tool and the database never disagree.
Write to the synced tables in Apache Cassandra and Stacksync propagates the change into Quip, replacing custom integration code.
Updates in Quip arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 Cassandra objects | Quip objects | How this pairing syncs | |
|---|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. | Keyspaces is specific to Apache Cassandra and Folders to Quip — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. | Tables is specific to Apache Cassandra and Messages to Quip — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. | Partitions and Rows is specific to Apache Cassandra and Users to Quip — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. | Materialized Views is specific to Apache Cassandra and Blobs to Quip — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Documents Editable rich-text threads addressed by ID; created and updated over REST via HTML or Markdown sections, with an updated_usec timestamp used to detect edits. | Secondary Indexes is specific to Apache Cassandra and Documents to Quip — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Spreadsheets Live-spreadsheet threads; rows and cells are read and written through add_to_spreadsheet and update_spreadsheet_row helpers on the same thread endpoints. | User-Defined Types is specific to Apache Cassandra and Spreadsheets to Quip — 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.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to Quip through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Quip for changes on an incremental schedule, reading only records changed since the previous pass. Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Quip connection.
Changes in Apache Cassandra or Quip instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Quip 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 Cassandra or Quip record.
Track your Apache Cassandra ⇄ Quip sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Quip.
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 Cassandra and Quip 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 Cassandra and Quip 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 Cassandra and Quip: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Keyspaces and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Quip: Spreadsheet edits go through cell- and row-level helpers rather than a bulk upsert, so writing many rows means many API calls. Apache Cassandra: CDC is enabled per table and surfaces changes through commit-log segments, which is how log-based connectors consume Cassandra changes. Stacksync's field mapping accounts for these differences between Apache Cassandra and Quip 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 Cassandra and Quip records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Quip connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Quip integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Quip. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Quip: Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec; there is no change-data-capture and no outbound change webhook. 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 435 integrations available for Apache Cassandra and Quip.