Two-way sync
Changes in Apache Cassandra or Azure Cosmos DB instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Azure Cosmos DB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Apache Cassandra and Azure Cosmos DB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Keep the same dataset live in both Apache Cassandra and Azure Cosmos DB, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 | Azure Cosmos DB objects | |
|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Containers The unit of partitioning and throughput; each container maps to a synced collection. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Databases Top-level namespaces that scope containers and throughput provisioning. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Azure Cosmos DB connection.
Changes in Apache Cassandra or Azure Cosmos DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Azure Cosmos DB 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 Azure Cosmos DB record.
Track your Apache Cassandra ⇄ Azure Cosmos DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Azure Cosmos DB.
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 Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Collections and Counters), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Apache Cassandra and Azure Cosmos DB: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Apache Cassandra and Azure Cosmos DB, so each workload runs on the engine that suits it.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Azure Cosmos DB: REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces. Authentication: Account keys, resource tokens, or Microsoft Entra ID role-based access. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Every write carries a timestamp (writetime) per cell, which integrations can use for incremental extraction and conflict resolution. Azure Cosmos DB: Throughput is provisioned in request units per container or database, which means sync read and write volume has a direct cost and throttling dimension. Stacksync's field mapping accounts for these differences between Apache Cassandra and Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Azure Cosmos DB integration in-house.
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 Azure Cosmos DB.