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Database ⇄ Business productivity

InterSystems IRIS to Slack integration — real-time, two-way sync

Keep InterSystems IRIS and Slack 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

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Why teams connect InterSystems IRIS and Slack

Mirror Slack's data into InterSystems IRIS so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Slack through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in InterSystems IRIS.

Stacksync mirrors Channels, Messages, Threads, Users from Slack into Views, Schemas, Persistent Classes, Globals in InterSystems IRIS and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Slack, so the tool and the database never disagree.

Common use cases

  • Alert an operations channel when a data sync detects conflicts or validation failures
  • Post CRM record changes into deal or account channels so the team sees updates without opening the CRM
  • Replicate IRIS tables to Postgres so application teams can build against a familiar database
  • Sync operational tables in IRIS bi-directionally with a CRM so business teams work on IRIS-backed data without SQL access

Automate Slack from your codebase

Write to the synced tables in InterSystems IRIS and Stacksync propagates the change into Slack, replacing custom integration code.

React to changes as they happen

Updates in Slack arrive as row changes in InterSystems IRIS, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between InterSystems IRIS and Slack

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.

InterSystems IRIS objects Slack objects
Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. Files Uploads attached to messages, retrievable for archiving.
Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. Reactions Emoji responses that can drive workflows, such as approving a synced record.
Namespaces Namespaces partition databases and determine the connection context for integrations. Channels Conversations (public, private, DMs) that messages are read from and posted to.
Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods.
Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. Threads Replies grouped under a parent message timestamp, preserved when archiving conversations.
Views SQL views expose curated slices of data for outbound replication. Users Workspace members with profile fields, synced against HR systems and identity providers.
What ships with InterSystems IRIS ⇄ Slack

Connect InterSystems IRIS and Slack for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InterSystems IRIS–Slack connection.

Real-time

Two-way sync

Changes in InterSystems IRIS or Slack instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InterSystems IRIS or Slack 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 InterSystems IRIS or Slack record.

Observability

Monitoring

Track your InterSystems IRIS ⇄ Slack sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between InterSystems IRIS and Slack.

How the InterSystems IRIS and Slack connectors work

InterSystems IRIS

Integration surface
SQL over JDBC/ODBC, plus object and REST access layers
Authentication
Database credentials
Change detection
Polling (timestamp or query-based); no standard webhook surface
Capabilities
read · write
Rate limits
Constrained by database resources rather than published API rate limits

Slack

Integration surface
Web API (HTTP RPC-style methods) plus the Events API
Authentication
OAuth 2.0 with bot or user tokens and granular scopes
Change detection
Events API webhooks, delivered over HTTP callbacks or Socket Mode
Capabilities
read · write · webhooks
Rate limits
Per-method rate limit tiers; message posting is additionally limited per channel
How it works

How to connect InterSystems IRIS to Slack — 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 InterSystems IRIS and Slack 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
    InterSystems IRIS connected
    Slack connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the InterSystems IRIS and Slack 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 · InterSystems IRIS ⇄ Slack
    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
    InterSystems IRIS Slack
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

InterSystems IRIS and Slack integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for InterSystems IRIS and Slack.

Popular · 8 of 386
All InterSystems IRIS integrations All Slack integrations Browse all integrations
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