Two-way sync
Changes in Apache Cassandra or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Apache Cassandra's rows in Tinybird, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Apache Cassandra where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Apache Cassandra sync into Tinybird in real time, and result tables in Tinybird sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Tinybird and keep Apache Cassandra focused on its operational workload.
Rows from Apache Cassandra land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Tinybird sync into Apache Cassandra, where whatever reads from that database gets them without querying the warehouse.
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 | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Keyspaces is specific to Apache Cassandra and Data Sources to Tinybird — 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. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Tables is specific to Apache Cassandra and Pipes to Tinybird — 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. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Partitions and Rows is specific to Apache Cassandra and API Endpoints to Tinybird — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Secondary Indexes is specific to Apache Cassandra and Workspaces to Tinybird — 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. | Tokens Scoped credentials that control read and append rights per resource. | User-Defined Types is specific to Apache Cassandra and Tokens to Tinybird — 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 applied to Tinybird as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
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–Tinybird connection.
Changes in Apache Cassandra or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Tinybird 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 Tinybird record.
Track your Apache Cassandra ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Tinybird.
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 Tinybird 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 Tinybird 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 Tinybird: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Materialized Views and Keyspaces), 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 Cassandra and Tinybird 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 Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Tinybird integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Tinybird. 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 Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Tinybird side: Workspaces, Tokens, Data Sources, Pipes, plus custom fields where Tinybird exposes them. On the Apache Cassandra side: Collections, Counters, Keyspaces, Tables. 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 357 integrations available for Apache Cassandra and Tinybird.