Two-way sync
Changes in Amazon Redshift or IBM Informix instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and IBM Informix in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want IBM Informix's rows in Amazon Redshift, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in IBM Informix where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in IBM Informix sync into Amazon Redshift in real time, and result tables in Amazon Redshift sync back into IBM Informix, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Amazon Redshift and keep IBM Informix focused on its operational workload.
Rows from IBM Informix land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
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.
| Amazon Redshift objects | IBM Informix objects | |
|---|---|---|
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Logical logs The transaction log that Informix's CDC interface reads committed changes from. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Databases Top-level containers that scope a sync connection. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Tables Relational tables mapped directly to sync targets. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Rows The unit of read and write, keyed by primary key. | |
| Schemas Namespaces used to organize synced tables and control grants. | Views Read-only projections used to shape outbound data. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–IBM Informix connection.
Changes in Amazon Redshift or IBM Informix instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or IBM Informix data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or IBM Informix record.
Track your Amazon Redshift ⇄ IBM Informix sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and IBM Informix.
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 Amazon Redshift and IBM Informix 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 Amazon Redshift and IBM Informix 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 Amazon Redshift and IBM Informix: authenticate both systems, choose the objects to sync (such as Amazon Redshift's External Tables (Spectrum) and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Redshift side: Users and Groups, Databases, Schemas, Tables, plus custom fields where Amazon Redshift exposes them. On the IBM Informix side: TimeSeries objects, Stored procedures, Logical logs, Databases. 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 Amazon Redshift and IBM Informix: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. IBM Informix: SQL over JDBC/ODBC drivers; DRDA connectivity is also supported. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. IBM Informix: Its native TimeSeries data type stores time-stamped rows compactly and is a common reason Informix runs in IoT and metering workloads. Stacksync's field mapping accounts for these differences between Amazon Redshift and IBM Informix 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 Amazon Redshift and IBM Informix.