Real-time
Two-way sync
Changes in Apache Cassandra or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Database
Apache Cassandra to IBM Db2 integration — real-time, two-way sync
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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Cassandra and IBM Db2
Keep Apache Cassandra and IBM Db2 synchronized in real time, across engines, regions, or services, in one or both directions.
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.
Common use cases
- 01 Consolidate data from multiple keyspaces or clusters into one reporting store.
- 02 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
- 03 Feed changes captured from Db2 logs into downstream event pipelines.
- 04 Expose Db2 records that back core business systems to a CRM so sales and support see order or account state.
Common sync patterns
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Apache Cassandra and IBM Db2, so each workload runs on the engine that suits it.
What you can sync between Apache Cassandra and IBM Db2
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 | How this pairing syncs | |
|---|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Tables Primary read/write target for syncing rows with SaaS systems or other databases. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Indexes Support fast key lookups on sync match columns. | Keyspaces is specific to Apache Cassandra and Indexes to IBM Db2 — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Stored Procedures Existing business logic sometimes invoked as part of write paths. | Partitions and Rows is specific to Apache Cassandra and Stored Procedures to IBM Db2 — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Sequences ID generation relevant when external systems insert rows. | Materialized Views is specific to Apache Cassandra and Sequences to IBM Db2 — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Tablespaces Physical storage layout that operators consider when adding synced tables. | Secondary Indexes is specific to Apache Cassandra and Tablespaces to IBM Db2 — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Databases The connection target; each database holds the schemas a sync addresses. | User-Defined Types is specific to Apache Cassandra and Databases to IBM Db2 — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and IBM Db2
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Cassandra IBM Db2 Sub-second propagation
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is applied to IBM Db2 as a row-level write, with types converted between the two schemas.
IBM Db2 Apache Cassandra Sub-second propagation
DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
- IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
What ships with Apache Cassandra ⇄ IBM Db2
Connect Apache Cassandra and IBM Db2 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–IBM Db2 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or IBM Db2 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Apache Cassandra or IBM Db2 record.
Observability
Monitoring
Track your Apache Cassandra ⇄ IBM Db2 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and IBM Db2.
How the Apache Cassandra and IBM Db2 connectors work
Apache Cassandra
- Integration surface
- CQL over the Cassandra native binary protocol
- Authentication
- Database credentials (password authenticator); TLS and role-based grants where configured
- Change detection
- Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
- Capabilities
- read · write · CDC
- Rate limits
- No API quotas; throughput is governed by cluster capacity and consistency-level choices
IBM Db2
- Integration surface
- SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
- Authentication
- Database credentials, typically backed by OS or LDAP authentication
- Change detection
- Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by instance resources and workload management settings
How it works
How to connect Apache Cassandra to IBM Db2 — three steps, no code
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.
- 01
Connect your apps
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.
Apache Cassandra
connected
IBM Db2
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
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.
objects · Apache Cassandra ⇄ IBM Db2Customers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Cassandra IBM Db2Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and IBM Db2 integration FAQ
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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 Tables and Keyspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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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.
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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.
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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.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 378 integrations available for Apache Cassandra and IBM Db2.
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