Two-way sync
Changes in Apache Cassandra or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Starburst Enterprise 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 Starburst Enterprise, 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 Starburst Enterprise in real time, and result tables in Starburst Enterprise 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 Starburst Enterprise and keep Apache Cassandra focused on its operational workload.
Rows from Apache Cassandra land in Starburst Enterprise 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 | Starburst Enterprise objects | |
|---|---|---|
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Columns Typed per the Trino type system, mapped from each source's native types. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Starburst Enterprise connection.
Changes in Apache Cassandra or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Starburst Enterprise 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 Starburst Enterprise record.
Track your Apache Cassandra ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Starburst Enterprise.
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 Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Apache Cassandra's User-Defined Types and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Starburst Enterprise side: Columns, Catalogs, Schemas, Tables, plus custom fields where Starburst Enterprise exposes them. On the Apache Cassandra side: User-Defined Types, Collections, Counters, Keyspaces. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Cassandra and Starburst Enterprise: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. Stacksync manages authentication, retries, and rate limits on both sides.
Starburst Enterprise: It is built on open-source Trino, so Trino drivers, clients, and SQL semantics apply. Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. Stacksync's field mapping accounts for these differences between Apache Cassandra and Starburst Enterprise without custom code.
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 Starburst Enterprise.