Two-way sync
Changes in Apache Cassandra or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Firebolt 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 Firebolt, 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 Firebolt in real time, and result tables in Firebolt 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 Firebolt and keep Apache Cassandra focused on its operational workload.
Rows from Apache Cassandra land in Firebolt 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 | Firebolt objects | |
|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | External tables References to files in object storage used to stage bulk loads. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Views Curated query surfaces commonly used as sources for reverse ETL. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Engines Compute resources that must be running for a sync to read or write. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Databases Logical containers holding the tables a sync targets. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Tables Managed columnar tables written with SQL; the main sync destination. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Firebolt connection.
Changes in Apache Cassandra or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Firebolt 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 Firebolt record.
Track your Apache Cassandra ⇄ Firebolt sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Firebolt.
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 Firebolt 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 Firebolt 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 Firebolt: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Tables and Partitions and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Firebolt: Polling; Firebolt is an analytics destination and does not expose a change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Firebolt side: Databases, Tables, External tables, Views, plus custom fields where Firebolt 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 Firebolt: 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. Firebolt: SQL over a REST API, with JDBC, Python, and Node.js SDKs. Authentication: Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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 Firebolt.