DOC · ALU-PILLAR-01Proprietary product

Proprietary Product — Owned & Built by ALU

Enterprise Data & AI Platform

Big data, shaped to your needs.

RAMES is an integrated enterprise data platform for collecting, storing, processing, governing, analysing and putting data to work — in one ecosystem. Its modular, scalable architecture lets an organisation build the data platform it actually needs, from integration and the data lake through to analytics, governance and enterprise AI.

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A01

On-premise ready

Runs inside your own infrastructure.

A02

Your data, your control

Data and access stay under your governance.

A03

Built for your needs

Start with the modules you need; grow from there.

01What RAMES does

From enterprise data to trusted insight and intelligence.

RAMES covers the complete data lifecycle in six stages, so data moves from where it is created to where it creates value — without being stitched together from unrelated tools.

Enterprise data

Databases
Files & documents
APIs
Applications
IoT & sensors
Logs & events
External data

RAMES

01 Connect Integrate data
02 Store Build the data lake
03 Process Transform data
04 Govern Manage & secure
05 Analyze Explore & analyse
06 AI Enable intelligence

Business value

Dashboards
Analytics
Data products
Data services & APIs
Enterprise search
AI applications

Unified platform

One integrated platform for the entire enterprise data lifecycle.

Modular & scalable

Start with what you need and scale as data and workloads grow.

Governed & secure

Metadata, security policy, access control, audit and platform visibility — managed together.

AI ready

Build analytics and AI on top of integrated, governed enterprise data.

02Platform architecture

One platform. Complete data lifecycle.

RAMES integrates every component of a data platform into a single, layered architecture — managing data end to end, from integration to analytics and AI, in a way that is scalable, secure and straightforward to operate.

Fig. R1 — RAMES 3.5 platform architecture

Data & AI Experience

Access, analyse and build with your data

Dashboards Visualisation
Notebooks Interactive analysis
APIs Access & integration
Search Exploration
Analytics
AI applications

Analytics & AI

Discover insights and power AI workloads

Apache Superset Business intelligence
JupyterHub Interactive notebooks
OpenSearch Search & analytics
Neo4j Graph analytics
RAMES LLM Enterprise AI

Lakehouse & Query

Organise, query and explore data at scale

Apache Iceberg Open table format
Trino Distributed & federated SQL

Data Engineering & Orchestration

Transform and prepare data at scale

Apache Spark Distributed processing
Apache Airflow Workflow orchestration

Governance & Security

Manage data, security and compliance

OpenMetadata Catalog & metadata
Apache Ranger Access control & data security

Data Platform

Scalable, reliable storage for all data

Apache Ozone Object storage
HDFS Distributed file storage
OpenSearch Search storage

Integration & Streaming

Ingest and connect data from any source

Apache NiFi Ingestion & flow management
Apache Kafka Real-time streaming
n8n Workflow automation

Enterprise data

Databases
Files & documents
APIs
Applications
IoT & sensors
Logs & events
External data

03Modules

Four capability areas, one platform.

Each area can be adopted on its own and extended as needs grow. Together they form the full RAMES platform.

M1Data integration & data lake

Connect any data. Build a trusted data lake.

Flexible integration collects data from many sources through batch and real-time streaming, and stores it in a scalable data lake that is ready for analytics and AI — structured, semi-structured and unstructured.

Apache NiFi

Data ingestion & flow management
- Batch ingestion
- File & database integration
- API integration
- Data flow automation
- Change data capture (CDC)
Apache Kafka

Real-time streaming & messaging
- Event streaming
- Message streaming
- Data buffering
- Event distribution
n8n

Integration & workflow automation
- Data pipelines
- Workflow automation
- Scheduling
- API orchestration
- Custom workflows
Apache Ozone & HDFS

Enterprise data lake
- Scalable object & file storage
- Structured & unstructured data
- Ready for analytics & AI
- Integrated with governance

M2Data engineering & analytics

Turn your data into insight and intelligence.

Data in the lake is transformed into trusted data that can be queried, analysed and used to produce insight or feed AI workloads — querying data where it lives.

Apache Spark

Distributed processing
- Batch processing
- ETL / ELT
- Data transformation
- Distributed workloads
Apache Iceberg

Lakehouse table format
- Open table format
- ACID transactions
- Schema & partition evolution
- Time travel
Trino

Distributed & federated SQL
- Federated query
- Query multiple sources
- High-performance query
- Open-standard SQL
OpenSearch

Search & analytics
- Full-text search
- Indexing & analytics
- Log & data exploration
- Real-time search
Neo4j

Graph analytics
- Relationship analysis
- Graph query & exploration
- Network & link analysis
- Connected data analytics
Apache Superset

Business intelligence
- Interactive dashboards
- Self-service analytics
- Data visualisation
- Operational analytics

M3Governance, security & observability

Trusted, secure and reliable.

Integrated capabilities for data governance, access security, platform management and observability keep the entire data environment safe, controlled and dependable.

OpenMetadata

Data governance & metadata
- Data catalog
- Metadata management
- Data lineage
- Search & discovery
- Business glossary
- Ownership & collaboration
Apache Ranger

Access control & data security
- Fine-grained access control
- Centralised policy management
- Multi-service authorisation
- Access audit & traceability
- Tag-based access control
- Enterprise directory integration
Apache Ambari

Platform management & operations
- Cluster management
- Service management
- Configuration management
- Operational control
- Lifecycle operations
RAMES Monitoring

Observability & reliability — Prometheus & Grafana
- Infrastructure monitoring
- Service health
- Resource utilisation
- Performance metrics
- Alerting & notification

M4Data experience & enterprise AI

From data to real business value.

A unified experience for accessing, exploring, analysing and using data — supported by enterprise AI — so every user can reach insight faster.

Dashboards

Powered by Apache Superset
- Interactive dashboards
- Self-service analytics
- Executive & operational insight
Notebooks

Powered by JupyterHub
- Explore & analyse data
- SQL / Python workspace
- Collaborative analysis
- Model experimentation
Data search & discovery

Across the whole platform
- Datasets, dashboards, notebooks
- Pipelines & AI assets
- Catalog, metadata, relationships
APIs & data services

Into enterprise applications
- REST API
- SQL access
- Application integration
- Data & AI services
Enterprise AI

Powered by RAMES LLM
- RAMES AI Assistant
- Natural-language questions over your data
- Generative AI on governed enterprise data

04Built and owned by ALU

An ALU product, end to end.

RAMES is not a client deliverable and not a rebranded third-party platform. ALU designed the architecture, integrated and hardened every layer, and maintains it with the same engineers — so there is one accountable team behind the whole platform.

RAMES builds on proven open-source foundations such as Apache Spark, Kafka, Iceberg and Trino. What ALU owns is the platform itself: how those components are integrated, secured, governed, operated and evolved as one product.

05Foundations

Six engineering foundations.

The properties RAMES is designed around, and that we refuse to trade away for speed.

F01

Reliability

Designed to degrade gracefully and recover predictably. Failure modes are identified up front and handled explicitly.

F02

Observability

RAMES Monitoring gives end-to-end visibility of infrastructure, services and performance — behaviour in production is visible, not guessed.

F03

Data-aware architecture

Catalog, lineage, ownership and lifecycle are first-class concerns, governed through OpenMetadata and Ranger.

F04

Integration-ready

Batch, streaming, CDC, REST and SQL interfaces let RAMES sit inside an existing technology landscape without fragile glue.

F05

Operated, not abandoned

Centralised operations through Ambari, maintained continuously by ALU. There is no point at which it is “finished” and left.

F06

Built to scale

Distributed storage and processing mean growth in data or workloads is an engineering exercise, not an emergency.

06Partners

RAMES partners.

Organisations that work with ALU to bring RAMES to more organisations.

RAMES

Considering an enterprise data platform?

Tell us about your data landscape and what you need from it. We will tell you honestly which RAMES modules fit — and which do not.

Ask about RAMES