Siloed operational data
Business systems and databases hold data that never reaches a governed, queryable platform.
A modular data and AI lakehouse, ready to run
Sahabat DataFlow unifies data ingestion, a governed lakehouse, analytics, and an enterprise AI assistant on one platform — built on open standards and portable across your environment of choice.
Fragmented data slows every AI initiative
Vendor lock-in on proprietary stacks
Closed data platforms make it costly to move workloads across environments as needs change.
AI bolted on afterward
Assistants and copilots built without governed data underneath produce answers no one can verify.
Governance and lineage blind spots
Without clear data lineage and sensitive-data classification, teams cannot prove what data shaped an AI response.
One platform, eight purpose-built modules
Sahabat DataFlow packages ingestion, orchestration, storage, analytics, governance, observability, and agentic AI as one operational plane instead of a dozen disconnected tools.
Sahabat Source
Unified ingestion from your databases and core business systems.
Sahabat Pipeline
Automated workflow orchestration for scheduled and event-driven data movement.
Sahabat Lakehouse
Organized raw, refined, and business-ready data zones in one governed platform.
Sahabat Mart
Ready-to-query analytics models for reporting and business intelligence.
Sahabat Insight
Interactive dashboards built directly on your business-ready data.
Sahabat Govern
Data catalogs, lineage tracking, and sensitive-data classification.
Sahabat Observe
Platform health, data freshness, and infrastructure monitoring.
Sahabat Copilot
An AI assistant with governed, permission-aware search, questions, and answers.
One operational plane, from data to AI
| Layer | What it covers |
|---|---|
| Access and delivery | Secure entry point and traffic management in front of every service. |
| Experience layer | Web consoles and a unified gateway for a consistent user experience. |
| AI and automation | A governed agentic AI runtime and low-code automation for business workflows. |
| Data orchestration | Scheduled and event-driven pipelines that move and transform data reliably. |
| Governed lakehouse and query | Organized data storage with fast, federated access for BI and analytics. |
| Governance and observability | Lineage, sensitive-data classification, and platform health monitoring. |
The same platform, sized to the stage
Every deployment stage runs the identical platform — only the scale, resilience, and cost profile change as a program moves from a small pilot to enterprise production, on your infrastructure of choice.
| Stage | What it fits | Indicative monthly range |
|---|---|---|
| Demo & proof of value | A compact single-environment setup for evaluation and early testing | $80 – $150 |
| Pilot deployment | A small, resilient cluster for staging and pilot programs | $250 – $450 |
| Starter production | Managed, controlled rollout for an initial enterprise program | $1,800 – $3,200 |
| Enterprise scale | Highly available, multi-domain production at scale | $5,000 – $10,000+ |
Open standards, governed by design
Zero vendor lock-in
Built on open, non-proprietary data standards and portable to your cloud, on-premises, or hybrid environment.
Governed AI copilots
Permission-aware retrieval verifies dataset ownership and governance before an assistant generates an answer.
Observable by design
Platform health, performance, and reliability are first-class capabilities, not an afterthought.
Open standards and contracts
Open data formats and standard interfaces keep every component swappable, so you are never locked into one vendor.
Frequently asked questions
Is Sahabat DataFlow really open with no lock-in?
Yes. The platform is built on open, non-proprietary data and AI standards and can run in your cloud, on-premises, or hybrid environment without being locked into one vendor.
Which deployment should we start with?
Start with a small demo or proof-of-value setup, move to a pilot deployment once the use case is validated, then scale into full enterprise production — the same platform runs at every stage.
Can AI copilots access ungoverned data?
No. Retrieval is permission-aware — the platform verifies dataset ownership and governance status before an AI copilot generates an answer.
Can Sahabat DataFlow connect to our existing BI tools?
Yes. Standard SQL connectivity lets Tableau, Power BI, and other business intelligence tools query your governed data directly.