Real-time
Two-way sync
Changes in Apache Cassandra or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Apache Cassandra to Apache Doris integration — real-time, two-way sync
Keep Apache Cassandra and Apache Doris 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Apache Cassandra and Apache Doris
Connect Apache Cassandra and Apache Doris 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 Apache Doris, 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 Apache Doris in real time, and result tables in Apache Doris sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
- 02 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.
- 03 Consolidate data from multiple keyspaces or clusters into one reporting store.
- 04 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
Common sync patterns
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Apache Doris and keep Apache Cassandra focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Apache Cassandra land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Apache Cassandra and Apache Doris
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 | Apache Doris objects | How this pairing syncs | |
|---|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Tables Columnar tables in one of Doris's table models, used as sync destinations. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Materialized Views Precomputed views readable for downstream syncs and BI. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Counters is specific to Apache Cassandra and Unique Key Tables to Apache Doris — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Keyspaces is specific to Apache Cassandra and Aggregate Key Tables to Apache Doris — 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. | Partitions Range or list partitions that bound incremental loads. | Partitions and Rows is specific to Apache Cassandra and Partitions to Apache Doris — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Users and Roles Principals used to grant the sync connection scoped access. | Secondary Indexes is specific to Apache Cassandra and Users and Roles to Apache Doris — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and Apache Doris
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 Apache Doris 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 Apache Doris as a row-level write, with types converted between the two schemas.
Apache Doris Apache Cassandra Interval-based propagation
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
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.
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
What ships with Apache Cassandra ⇄ Apache Doris
Connect Apache Cassandra and Apache Doris for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Apache Doris connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or Apache Doris 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 Apache Doris record.
Observability
Monitoring
Track your Apache Cassandra ⇄ Apache Doris 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 Apache Doris.
How the Apache Cassandra and Apache Doris 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
Apache Doris
- Integration surface
- MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
- Authentication
- Database credentials
- Change detection
- Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
- Capabilities
- read · write
- Rate limits
- No API quotas; load throughput depends on cluster resources and load-job configuration
How it works
How to connect Apache Cassandra to Apache Doris — 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 Apache Doris 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
Apache Doris
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Cassandra and Apache Doris 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 ⇄ Apache DorisCustomers 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 Apache DorisCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Apache Doris integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Apache Doris: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Tables and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Apache Doris: Bulk ingestion is HTTP-based through mechanisms like Stream Load, which is separate from the SQL query path. 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 Apache Doris 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 Apache Doris 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 Apache Doris connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Apache Doris integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Apache Doris. 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 Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. 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
Every pair below is a real-time, two-way sync. Search all 362 integrations available for Apache Cassandra and Apache Doris.
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