Two-way sync
Changes in IBM Db2 or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Db2 and Redis Enterprise 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 IBM Db2 and Redis Enterprise 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 IBM Db2 and Redis Enterprise, 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.
| IBM Db2 objects | Redis Enterprise objects | |
|---|---|---|
| Tablespaces Physical storage layout that operators consider when adding synced tables. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Databases The connection target; each database holds the schemas a sync addresses. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Schemas Namespaces separating synced data from application and system objects. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Tables Primary read/write target for syncing rows with SaaS systems or other databases. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Views Read-only projections often used to expose curated slices to a sync. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Indexes Support fast key lookups on sync match columns. | Lists Ordered sequences often used as lightweight queues fed by sync events. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Redis Enterprise connection.
Changes in IBM Db2 or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Db2 or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Db2 or Redis Enterprise record.
Track your IBM Db2 ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Db2 and Redis Enterprise.
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 IBM Db2 and Redis Enterprise 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 IBM Db2 and Redis Enterprise 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 IBM Db2 and Redis Enterprise: authenticate both systems, choose the objects to sync (such as IBM Db2's Tablespaces and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the IBM Db2 side: Indexes, Stored Procedures, Sequences, Tablespaces, plus custom fields where IBM Db2 exposes them. On the Redis Enterprise side: Streams, Pub/Sub channels, Search indexes, Keys (Strings). 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 IBM Db2 and Redis Enterprise: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
IBM Db2: SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions. Authentication: Database credentials, typically backed by OS or LDAP authentication. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
IBM Db2: IBM provides log-based replication tooling that reads the transaction log for change capture, avoiding query load on source tables. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between IBM Db2 and Redis Enterprise without custom code.
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 IBM Db2 and Redis Enterprise.