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Database

IBM Informix to SingleStore integration — real-time, two-way sync

Keep IBM Informix and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM Informix and SingleStore

Keep IBM Informix and SingleStore 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 IBM Informix and SingleStore 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 Feed inventory and transaction data from legacy Informix applications into modern ERPs during migration.
  • 02 Replicate Informix tables into a cloud warehouse using its change data capture interface for near-real-time reporting.
  • 03 Feed synced operational data into applications that need low-latency responses over fresh data.
  • 04 Mirror CRM and SaaS objects into SingleStore tables to serve low-latency operational dashboards.

Common sync patterns

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 IBM Informix and SingleStore, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

What you can sync between IBM Informix and SingleStore

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 Informix objects SingleStore objects How this pairing syncs
Databases Top-level containers that scope a sync connection. Databases The connection target containing the tables a sync addresses. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-only projections used to shape outbound data. Views Read-only projections used as curated sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Stored procedures Server-side logic sometimes invoked as part of write paths. Stored Procedures Existing logic sometimes invoked on write paths. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Rows The unit of read and write, keyed by primary key. Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Rows is specific to IBM Informix and Pipelines to SingleStore — each maps to any object or custom field on the other side.
TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. TimeSeries objects is specific to IBM Informix and Indexes and Shard Keys to SingleStore — each maps to any object or custom field on the other side.
Logical logs The transaction log that Informix's CDC interface reads committed changes from. Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. Logical logs is specific to IBM Informix and Tables (rowstore and columnstore) to SingleStore — each maps to any object or custom field on the other side.

How changes propagate between IBM Informix and SingleStore

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.

IBM Informix SingleStore Sub-second propagation

DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.

DeliveryEach detected change is applied to SingleStore as a row-level write, with types converted between the two schemas.

SingleStore IBM Informix Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

DeliveryEach detected change is applied to IBM Informix as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM Informix: Bounded by server resources and session limits rather than an API quota.
  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
What ships with IBM Informix ⇄ SingleStore

Connect IBM Informix and SingleStore for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–SingleStore connection.

Real-time

Two-way sync

Changes in IBM Informix or SingleStore instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM Informix or SingleStore 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 IBM Informix or SingleStore record.

Observability

Monitoring

Track your IBM Informix ⇄ SingleStore sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM Informix and SingleStore.

How the IBM Informix and SingleStore connectors work

IBM Informix

Integration surface
SQL over JDBC/ODBC drivers; DRDA connectivity is also supported
Authentication
Database credentials
Change detection
Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by server resources and session limits rather than an API quota.

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size
How it works

How to connect IBM Informix to SingleStore — 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.

  1. 01

    Connect your apps

    Authenticate IBM Informix and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    IBM Informix connected
    SingleStore connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM Informix and SingleStore 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · IBM Informix ⇄ SingleStore
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    IBM Informix SingleStore
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

IBM Informix and SingleStore integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 399 integrations available for IBM Informix and SingleStore.

Popular · 3 of 399
All IBM Informix integrations All SingleStore integrations Browse all integrations
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