Two-way sync
Changes in Apache Cassandra or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and IBM Db2 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 Db2 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 Db2, so each workload runs on the engine that suits it.
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 Db2 objects | |
|---|---|---|
| Counters Increment-only counter columns, usually read-only in syncs. | Views Read-only projections often used to expose curated slices to a sync. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Indexes Support fast key lookups on sync match columns. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Stored Procedures Existing business logic sometimes invoked as part of write paths. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Sequences ID generation relevant when external systems insert rows. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Tablespaces Physical storage layout that operators consider when adding synced tables. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Databases The connection target; each database holds the schemas a sync addresses. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–IBM Db2 connection.
Changes in Apache Cassandra or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or IBM Db2 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 Db2 record.
Track your Apache Cassandra ⇄ IBM Db2 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and IBM Db2.
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 Db2 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 Db2 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 Db2: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Counters and Keyspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Apache Cassandra and IBM Db2: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. IBM Db2: SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions. Authentication: Database credentials, typically backed by OS or LDAP authentication. 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. IBM Db2: IBM provides log-based replication tooling that reads the transaction log for change capture, avoiding query load on source tables. Stacksync's field mapping accounts for these differences between Apache Cassandra and IBM Db2 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 Db2 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 Db2 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–IBM Db2 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 IBM Db2.