Two-way sync
Changes in Apache Cassandra or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Rockset 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 Rockset, 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 Rockset in real time, and result tables in Rockset sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Rows from Apache Cassandra land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Rockset sync into Apache Cassandra, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | Rockset objects | |
|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Virtual Instances Isolated compute units that separate ingest from query workloads. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Collections Schemaless document containers that ingested and synced records land in. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Workspaces Namespaces that group collections and query lambdas per team or environment. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Aliases Stable names that point at collections, used to swap datasets without changing queries. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Rockset connection.
Changes in Apache Cassandra or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Rockset 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 Rockset record.
Track your Apache Cassandra ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Rockset.
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 Rockset 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 Rockset 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 Rockset: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Collections and Counters), map fields visually, and changes propagate both ways in milliseconds — no code required.
Rockset: Ingest is schemaless: JSON documents are indexed as-is with dynamic typing, so upstream schema drift does not break the pipeline. 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 Rockset 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 Rockset 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 Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Rockset integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Rockset. 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. 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 386 integrations available for Apache Cassandra and Rockset.