Real-time
Two-way sync
Changes in SAP Hana or Slack instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
SAP Hana to Slack integration — real-time, two-way sync
Keep SAP Hana 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect SAP Hana and Slack
Mirror Slack's data into SAP Hana 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 SAP Hana.
Stacksync mirrors Channels, Messages, Threads, Users from Slack into Row store tables, Calculation views, SQL views, Schemas in SAP Hana 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
- 01 Archive channel messages into a warehouse or database for compliance and analytics
- 02 Create or update records in a database when specific messages or reactions occur in a channel
- 03 Detect inserts, updates, and deletes on high-write tables via AFTER triggers or a last-modified column and replicate the deltas downstream near-real-time.
- 04 Read SYS.TABLES and TABLE_COLUMNS system views to auto-discover schema and generate field mappings when new tables are added to the sync.
Common sync patterns
React to changes as they happen
Updates in Slack arrive as row changes in SAP Hana, 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.
Read Slack with a query
Records from Slack are ordinary rows in SAP Hana; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between SAP Hana 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.
| SAP Hana objects | Slack objects | How this pairing syncs | |
|---|---|---|---|
| Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | Column store tables is specific to SAP Hana and Messages to Slack — each maps to any object or custom field on the other side. | |
| Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | Row store tables is specific to SAP Hana and Threads to Slack — each maps to any object or custom field on the other side. | |
| Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Users Workspace members with profile fields, synced against HR systems and identity providers. | Calculation views is specific to SAP Hana and Users to Slack — each maps to any object or custom field on the other side. | |
| SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. | User groups Handles like @support that map to teams in external systems. | SQL views is specific to SAP Hana and User groups to Slack — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Files Uploads attached to messages, retrievable for archiving. | Schemas is specific to SAP Hana and Files to Slack — each maps to any object or custom field on the other side. | |
| Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Reactions Emoji responses that can drive workflows, such as approving a synced record. | Sequences is specific to SAP Hana and Reactions to Slack — each maps to any object or custom field on the other side. |
How changes propagate between SAP Hana and Slack
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.
SAP Hana Slack Sub-second propagation
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
DeliveryEach detected change is written to Slack through its API, with automatic retries and rate-limit backoff.
Slack SAP Hana Sub-second propagation
DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- SAP Hana: No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.
- Slack: Per-method rate limit tiers; message posting is additionally limited per channel.
What ships with SAP Hana ⇄ Slack
Connect SAP Hana and Slack for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–Slack connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever SAP Hana 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 SAP Hana or Slack record.
Observability
Monitoring
Track your SAP Hana ⇄ Slack sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between SAP Hana and Slack.
How the SAP Hana and Slack connectors work
SAP Hana
- Integration surface
- SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access
- Authentication
- Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting.
- Change detection
- Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks.
- Capabilities
- read · write · CDC
- Rate limits
- No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.
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 SAP Hana 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.
- 01
Connect your apps
Authenticate SAP Hana 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.
SAP Hana
connected
Slack
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the SAP Hana 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.
objects · SAP Hana ⇄ SlackCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
SAP Hana SlackCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
SAP Hana and Slack integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between SAP Hana and Slack: authenticate both systems, choose the objects to sync (such as SAP Hana's Column store tables and Row store tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Slack: The Events API pushes changes to a subscribed endpoint, so most integrations never need to poll. SAP Hana: Polling change detection requires a last-modified timestamp column; without one, triggers or system-versioned temporal tables are needed to catch updates and deletes. Stacksync's field mapping accounts for these differences between SAP Hana and Slack without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means SAP Hana and Slack records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed SAP Hana and Slack connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom SAP Hana–Slack integration in-house.
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Yes — Stacksync ships production-grade connectors for both SAP Hana and Slack. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on SAP Hana: Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks. On Slack: Events API webhooks, delivered over HTTP callbacks or Socket Mode. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
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