Two-way sync
Changes in Apache Cassandra or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Apache Doris and keep Apache Cassandra focused on its operational workload.
Rows from Apache Cassandra land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
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 | |
|---|---|---|
| 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. | |
| 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. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Partitions Range or list partitions that bound incremental loads. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Materialized Views Precomputed views readable for downstream syncs and BI. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Users and Roles Principals used to grant the sync connection scoped access. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Databases Logical containers that scope connections and grants. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Apache Doris connection.
Changes in Apache Cassandra or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Apache Doris 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 Apache Doris record.
Track your Apache Cassandra ⇄ Apache Doris sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Apache Doris.
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 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.
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.
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 Apache Doris: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Counters and Keyspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
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.
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.
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.
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.
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 Apache Doris.