Two-way sync
Changes in Apache Cassandra or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and IBM AS/400 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 IBM AS/400 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Apache Cassandra and IBM AS/400, 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.
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 | IBM AS/400 objects | |
|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Data queues Program-to-program messaging objects sometimes used to hand events off to integrations. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Libraries The schema-equivalent containers that scope which files a sync reads. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Physical files (tables) The Db2 for i tables mapped directly to sync targets. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Logical files (views) Indexed or filtered views over physical files, usable as read sources. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Members Sub-partitions of files in legacy applications, flattened or selected during syncs. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Rows / records The unit of read and write, accessed via SQL or record-level access. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–IBM AS/400 connection.
Changes in Apache Cassandra or IBM AS/400 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or IBM AS/400 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 IBM AS/400 record.
Track your Apache Cassandra ⇄ IBM AS/400 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and IBM AS/400.
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 IBM AS/400 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 IBM AS/400 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 IBM AS/400: 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.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. IBM AS/400: The integrated database is Db2 for i; tables are physical files organized into libraries, with logical files acting as views. Stacksync's field mapping accounts for these differences between Apache Cassandra and IBM AS/400 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 IBM AS/400 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 IBM AS/400 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–IBM AS/400 integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and IBM AS/400. 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 IBM AS/400: Journal-based CDC by reading journal receivers on journaled files; polling as a fallback. 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 IBM AS/400.