Real-time
Two-way sync
Changes in Apache Cassandra or Rockset instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Apache Cassandra to Rockset integration — real-time, two-way sync
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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Apache Cassandra and Rockset
Connect Apache Cassandra and Rockset with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
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.
Common use cases
- 01 Read query results back into an operational database to expose computed metrics to applications.
- 02 Power in-app search and filtering over synced operational data using SQL over REST.
- 03 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
- 04 Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Apache Cassandra land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Rockset sync into Apache Cassandra, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Apache Cassandra and Rockset
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 | How this pairing syncs | |
|---|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Collections Schemaless document containers that ingested and synced records land in. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Virtual Instances Isolated compute units that separate ingest from query workloads. | User-Defined Types is specific to Apache Cassandra and Virtual Instances to Rockset — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Counters is specific to Apache Cassandra and Documents to Rockset — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Keyspaces is specific to Apache Cassandra and Workspaces to Rockset — 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. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Tables is specific to Apache Cassandra and Query Lambdas to Rockset — 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. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | Partitions and Rows is specific to Apache Cassandra and Aliases to Rockset — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and Rockset
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.
Apache Cassandra Rockset Sub-second propagation
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 Rockset as a row-level write, with types converted between the two schemas.
Rockset Apache Cassandra Interval-based propagation
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
What ships with Apache Cassandra ⇄ Rockset
Connect Apache Cassandra and Rockset for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Rockset connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or Rockset data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Apache Cassandra or Rockset record.
Observability
Monitoring
Track your Apache Cassandra ⇄ Rockset sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Rockset.
How the Apache Cassandra and Rockset connectors work
Apache Cassandra
- Integration surface
- CQL over the Cassandra native binary protocol
- Authentication
- Database credentials (password authenticator); TLS and role-based grants where configured
- Change detection
- Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
- Capabilities
- read · write · CDC
- Rate limits
- No API quotas; throughput is governed by cluster capacity and consistency-level choices
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
How it works
How to connect Apache Cassandra to Rockset — three steps, no code
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.
- 01
Connect your apps
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.
Apache Cassandra
connected
Rockset
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
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.
objects · Apache Cassandra ⇄ RocksetCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Cassandra RocksetCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Rockset integration FAQ
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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 User-Defined Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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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.
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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.
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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.
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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.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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