ENTERPRISE DATA LAKEHOUSE // ON-PREMISE · UU PDP COMPLIANT

Unify, govern, and activate your data at industrial scale.

The backbone of enterprise intelligence. Datahive unifies fragmented information into a governed, scalable, and AI-ready foundation — purpose-built for Indonesian institutions running real-time analytics and operational intelligence.

EXPLORE PLATFORM → READ THE TECHNICAL BRIEF ↗

INGESTION

8.4TB/hr

↑ 12.3% WoW

QUERY P95

142ms

↓ 8% improved

ACTIVE PIPES

1,284

▲ 24 new today

datahive://pipeline/live-view.dh

STREAMING

Powering data for institutions across Indonesia

Pelita HarapanSapta TunasDLH DKIrespon.appVirtue DigitalVAL.ID

APACHE ICEBERG ◆STARROCKS ◆MINIO ◆NESSIE GIT-FOR-DATA ◆APACHE FLINK ◆KAFKA ◆DEBEZIUM CDC ◆dbt CORE ◆DAGSTER ◆AIRBYTE 300+ ◆LANGGRAPH ◆KUBERNETES ◆APACHE ICEBERG ◆STARROCKS ◆MINIO ◆NESSIE GIT-FOR-DATA ◆APACHE FLINK ◆KAFKA ◆DEBEZIUM CDC ◆dbt CORE ◆DAGSTER ◆AIRBYTE 300+ ◆LANGGRAPH ◆KUBERNETES ◆

0 .4 TB

Data Under Management

0 .98 %

Platform Uptime SLA

0 ms

Query P95 Latency

0 ×

Faster Than Legacy Stack

Ø01 · FRAGMENTATION DIAGNOSTIC

Your data is everywhere. Your decisions shouldn't be.

Modern organizations run on dozens of systems — CRM, ERP, SIS, APIs, spreadsheets, sensors. Left unchecked, fragmentation compounds silently into operational debt.

fragmentation.log · tail -f

CRITICAL 3 WARNING 7 RESOLVED 142

14:23:08 FRAG-001

Inconsistent Reports Finance vs. Operations reporting divergent Q3 revenue figures — delta 4.2%

src: crm_v1, erp_legacy −18 hrs/wkreconciliation

14:19:44 FRAG-002

Duplicated Work Streams 3 teams independently built overlapping ETL pipelines for the same source system

src: 3× departments −IDR 240Mannual cost

14:12:31 FRAG-003

Slow Decision-Making Executive dashboard refresh cycle > 48hrs · critical KPIs stale at time-of-decision

src: bi_legacy −3.2 daysdecision lag

14:08:15 FRAG-004

Ungoverned Shadow Systems 47 spreadsheet-based "data marts" discovered across business units — untracked, unauditable

src: file_scanner Risk: UU PDPcompliance gap

14:02:47 FRAG-005

AI Blockade LLM/ML initiatives stalled · no unified, clean feature store to build on

src: ml_platform 0 modelsin production

Ø02 · THE TECHNOLOGY UNDERNEATH

Built on the open standards the world's largest data platforms run on.

Datahive is not a black box. Every component is open-source, battle-tested at hyperscale, and replaceable.

Table Format v1.6 · ASF

Apache Iceberg

Open table format that turns object storage into a database. De-facto standard for open lakehouses.

iceberg.apache.org ↗

Query Engine v3.3 · Linux Foundation

StarRocks

Vectorized MPP database delivering sub-second analytics at petabyte scale — including Iceberg data.

starrocks.io ↗

Versioned Catalog v0.95 · Dremio

Project Nessie

Git for your data. Branches, tags, and commits over your lakehouse — without copying a byte.

projectnessie.org ↗

Object Storage Enterprise

MinIO

High-performance S3-compatible object storage on your own hardware. Data never leaves your jurisdiction.

min.io ↗

Ø02 · PLATFORM ARCHITECTURE

One governed foundation. Five production-grade intelligence engines.

Datahive is built on an open, composable data stack. Every layer is swappable, every interface is standard. No lock-in. No disruption. No mystery.

// system.architecture.v2.4

Streaming Batch Federated

Ø03 · INTELLIGENCE ENGINES

Five engines. One governed foundation.

Each engine is a standalone, production-grade asset — self-hostable, auditable, and independently scalable. Together, they compose into a single institutional intelligence stack.

ENG-01 / KNOWLEDGE GA · v2.4

Knowledge Intelligence Engine

Institutions sit on millions of pages — policies, archives, reports, regulations. The knowledge is there, but it sleeps inside folders. This engine turns latent institutional memory into a queryable, grounded, RAG-native corpus.

HYBRID SEARCHVECTOR + BM25MULTI-LINGUAL ID/ENCITATION-GROUNDED

ENG-02 / DOCUMENT GA · v2.1

Document Intelligence Engine

Every institution ships documents by the thousands — most still typed by hand. Extract, classify, and route structured data from contracts, invoices, faktur pajak, and academic records at industrial throughput.

OCR · LAYOUT-LMFAKTUR PAJAK99.2% EXTRACTION

ENG-03 / PREDICTIVE BETA · v1.8

Predictive Intelligence

Good strategic decisions need two things: complete data, and the ability to look ahead. Forecasting, anomaly detection, and causal inference — productionized.

FORECASTINGCAUSAL MLAUTO-RETRAIN

ENG-04 / ENTERPRISE GA · v3.0

Enterprise Data Engine

A unified data foundation plus an institutional base model — trained on your own dataset so it speaks internal terminology, policy hierarchy, and operational procedure.

STARROCKSICEBERGCUSTOM LLM

ENG-05 / TRUST GA · v2.0

AI Trust & Governance

Running AI in an institutional setting without governance isn't just technical risk — it's legal and reputational. UU PDP-compliant guardrails, full audit, RBAC, lineage.

UU PDPISO 27001AUDIT TRAIL

Ø04 · DEVELOPER SURFACE

Deploy in minutes. Own it forever.

Single-binary CLI. Declarative config. GitOps-native. Datahive runs on your infrastructure, inside your firewall, under your keys.

~ / datahive-cli · zsh

DEPLOY QUERY PIPELINE

Ø05 · MODULAR STACK

Modular, composable, and enterprise-ready.

Built on open standards. Every component is swappable. No proprietary formats. No vendor lock-in.

L5 · ACTIVATION

BI & Dashboards

Metabase · Superset · Evidence

L5 · ACTIVATION

AI Agents

LangGraph · Dify · CrewAI

L4 · SEMANTIC

Semantic Layer

Cube · MetricFlow

L4 · GOVERNANCE

Catalog & Lineage

OpenMetadata · DataHub

L3 · CORE

Query Engine

StarRocks · Trino · DuckDB

L3 · CORE

Table Format

Apache Iceberg · Nessie

L3 · CORE

Object Storage

MinIO · S3 compatible

L2 · PROCESS

Streaming

Apache Flink · RisingWave

L2 · PROCESS

Transform

dbt · SQLMesh

L2 · PROCESS

Orchestration

Dagster · Airflow

L1 · INGESTION

CDC

Debezium · Kafka Connect

L1 · INGESTION

Connectors

Airbyte · 300+ sources

Ø06 · FIELD DEPLOYMENTS

Where Datahive delivers impact.

Purpose-built reference architectures — proven in production across Indonesian higher education, government, and enterprise.

[ HIGHER EDUCATION ]

Unified Student & Academic Intelligence

Unified 150K+ student records across SIS, LMS, and payment systems. Real-time enrollment analytics, OCR-powered document workflows, and executive KPI dashboards for institutional leadership.

150K+students unified

24×faster queries

4 days→ real-time

[ GOVERNMENT / ENV-OPS ]

Environmental Operations Platform

Integrated with SILIKA, Bank Sampah Portal, and BGMIOTA. 6 operational milestones, 7 actor roles, citizen-facing reporting and geospatial command layer for environmental enforcement.

7actor roles

3gov. integrations

Real-timegeo-ops

[ ENTERPRISE / CRM ]

AI-Native WhatsApp CRM (respon.app)

Unifying TwentyCRM, Dify, and Evolution API across five product layers. Built for Indonesian SMBs — WhatsApp-first, billing via Xendit, fully UU PDP compliant.

5product layers

WA-firstchannel

IDRnative billing

Ø07 · READY FOR PRODUCTION

Your data foundation, engineered for the AI era.

Deploy on-premise. Own every byte. Ship faster. Built for Indonesia — open everywhere.

BOOK A DEMO → READ THE DOCS ↗ VIEW ON GITHUB ↗