Two-way sync
Changes in Dynamo DB or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Keep Dynamo DB 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 Dynamo DB 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.
Keep the same dataset live in both Dynamo DB and IBM Db2, 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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.
| Dynamo DB objects | IBM Db2 objects | How this pairing syncs | |
|---|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | 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. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Schemas Namespaces separating synced data from application and system objects. | Partition and Sort Keys is specific to Dynamo DB and Schemas to IBM Db2 — each maps to any object or custom field on the other side. | |
| Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Views Read-only projections often used to expose curated slices to a sync. | Global Secondary Indexes is specific to Dynamo DB and Views to IBM Db2 — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Indexes Support fast key lookups on sync match columns. | DynamoDB Streams is specific to Dynamo DB and Indexes to IBM Db2 — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Stored Procedures Existing business logic sometimes invoked as part of write paths. | Global Tables is specific to Dynamo DB and Stored Procedures to IBM Db2 — each maps to any object or custom field on the other side. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Sequences ID generation relevant when external systems insert rows. | Items is specific to Dynamo DB and Sequences to IBM Db2 — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is applied to IBM Db2 as a row-level write, with types converted between the two schemas.
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 applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–IBM Db2 connection.
Changes in Dynamo DB or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dynamo DB 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 Dynamo DB or IBM Db2 record.
Track your Dynamo DB ⇄ IBM Db2 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dynamo DB 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 Dynamo DB 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 Dynamo DB 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 Dynamo DB and IBM Db2: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and Partition and Sort Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Dynamo DB side: Global Secondary Indexes, DynamoDB Streams, Global Tables, Tables, plus custom fields where Dynamo DB exposes them. On the IBM Db2 side: Schemas, Tables, Views, Indexes. 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 Dynamo DB and IBM Db2: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Dynamo DB and IBM Db2, so each workload runs on the engine that suits it.
Dynamo DB: Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries. Authentication: AWS IAM credentials with SigV4 request signing. 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.
Dynamo DB: PartiQL provides a SQL-compatible query layer over the same key-based access model. 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 Dynamo DB and IBM Db2 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 396 integrations available for Dynamo DB and IBM Db2.