Two-way sync
Changes in Apache Cassandra or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Azure Synapse Analytics 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 Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep Apache Cassandra focused on its operational workload.
Rows from Apache Cassandra land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics sync into Apache Cassandra, where whatever reads from that database gets them without querying the warehouse.
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 Synapse Analytics objects | |
|---|---|---|
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Schemas Namespaces that separate staging, integration, and presentation layers. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | |
| Counters Increment-only counter columns, usually read-only in syncs. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Views Curated projections used when downstream tools should not read base tables directly. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Azure Synapse Analytics connection.
Changes in Apache Cassandra or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Azure Synapse Analytics 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 Synapse Analytics record.
Track your Apache Cassandra ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Azure Synapse Analytics.
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 Synapse Analytics 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 Synapse Analytics 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 Synapse Analytics: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Materialized Views and Secondary Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Azure Synapse Analytics. 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 Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Synapse Analytics side: External tables, Views, Schemas, Materialized views, plus custom fields where Azure Synapse Analytics exposes them. On the Apache Cassandra side: Counters, Keyspaces, Tables, Partitions and Rows. 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 Azure Synapse Analytics: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Azure Synapse Analytics and keep Apache Cassandra focused on its operational workload.
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 Synapse Analytics.