Analytics & Data Intelligence Platform
A Unified, Scalable Analytics Foundation — Built for Growth
Overview
Data Intelligence Platform – is a centralized analytics foundation designed to consolidate, organize, and analyze large-scale operational and analytical data — without disrupting existing environments.
It enables organizations to unify data from multiple sources into a single, consistent structure, while continuing to work in parallel with any existing ClickHouse environments.
The result: faster insights, better governance, and a future-proof analytics layer that scales with the business.
Central Unified Data Lake – is optimized for cloud environments and includes specialized adjustments for AWS and Azure, ensuring performance, reliability, and cost efficiency at scale.
Why Central Unified Data Lake
Modern organizations face a growing challenge:
data is fragmented, duplicated, inconsistent, and expensive to manage.
Central Unified Data Lake addresses this by providing:
- A single source of truth for analytical data
- A non-disruptive model that works alongside existing systems
- Massive scalability without architectural rewrites
- Operational simplicity across teams and regions
Key Capabilities – Centralized Data Foundation
Central Unified Data Lake creates a unified analytics layer that consolidates data from multiple environments, accounts, and regions into a single logical structure.
This enables:
- Cross-customer analytics
- Cross-region reporting
- Organization-wide visibility
- Long-term historical analysis
Parallel Operation with Existing Environments
Central Unified Data Lake is designed to work in parallel with any ClickHouse environment.
This means:
- No forced migrations
- No downtime
- No changes to existing workflows
- No disruption to customer systems
Built for Scale – From Day One
The platform is designed to handle:
- Rapid data growth
- High ingestion rates
- Large historical datasets
- Increasing query complexity
Vendor-Neutral Data Source Support – Overview
The Central Analytics Data Lake is designed to aggregate data from multiple database vendors, data platforms, and event systems into a single, unified analytical layer.
Operational databases, enterprise systems, NoSQL stores, and streaming platforms are ingested through standardized pipelines and transformed into a generic, analytics-optimized data model. This abstraction allows organizations to analyze data across systems without dependency on the original vendor or technology.
Multiple database engines are supported as data sources, while a central analytical database (such as ClickHouse) can be selected as the primary query and storage layer — ensuring high performance, scalability, and consistency across all analytics, dashboards, and AI workloads.
| Category | Technology | Typical Use Cases |
|---|---|---|
| Columnar Analytics | 🟦 ClickHouse | High-volume analytics, metrics, observability |
| Relational Databases | 🐬 MySQL | Application data, transactional systems |
| Relational Databases | 🐘 PostgreSQL | Business platforms, SaaS systems |
| Enterprise Databases | 🟥 Oracle | ERP, finance & legacy enterprise systems |
| NoSQL / Document | 🍃 MongoDB | Semi-structured data, events |
| Streaming / Events | 🔥 Kafka | Real-time ingestion, logs, event streams |
| Files & APIs | 📄 JSON / CSV / REST | External systems & integrations |
All sources are ingested, normalized, and unified into a single analytical model.
Cloud-Optimized by Design
Central Unified Data Lake includes specialized cloud-level adjustments that optimize performance and efficiency in:
AWS
- Designed to align with cloud-native architectures
- Optimized for large-scale data movement and storage patterns
- Cost-aware by design
Azure
- Built to integrate seamlessly into Azure-based organizations
- Optimized for regional deployments and enterprise governance
- Designed for long-term scalability
These optimizations are transparent to users and require no operational complexity.
Governance Without Friction
Central Unified Data Lake introduces structure without slowing teams down.
It enables:
- Consistent data organization
- Predictable naming and lifecycle management
- Clear ownership boundaries
- Controlled data retention and visibility
Designed for Analytical Workloads
Central Unified Data Lake is purpose-built for analytics-heavy use cases such as:
- Operational analytics
- Business intelligence
- Large-scale reporting
- Trend analysis
- Historical investigations
- Customer-level and global insights
Use Cases
Multi-Customer Analytics
- Analyze trends and behavior across all customers while maintaining strict separation and control.
- Long-Term Historical Analysis
- Store and analyze data over long periods without impacting active environments.
- Centralized Reporting
- Power dashboards and reports from a unified analytics foundation.
- Growth Enablement
- Support rapid customer growth without re-architecting analytics pipelines.
Enterprise-Ready
Central Unified Data Lake is built with enterprise needs in mind:
- Designed for regulated environments
- Supports large organizations with multiple teams
- Built to operate across regions and cloud providers
- Enables predictable scaling and cost control
It fits naturally into both fast-growing startups and mature enterprise organizations.
A Foundation, Not a Constraint
Central Unified Data Lake is not a rigid platform — it is a foundation.
It provides:- Structure without lock-in
- Consistency without rigidity
- Scale without complexity
Allowing organizations to evolve their analytics strategy over time without costly rewrites.
BI & Analytics Integrations
Central Unified Data Lake integrates seamlessly with leading Business Intelligence platforms to support advanced analytics, high concurrency, and heavy analytical workloads at scale.
Designed for enterprise reporting and near-real-time dashboards, the platform enables BI tools to query large datasets efficiently without impacting operational systems.
Supported Integrations
- Microsoft Power BI – Direct connectivity for interactive dashboards and large-scale analytical models
- Tableau – High-performance querying for complex visualizations
- Grafana – Real-time and historical analytics at scale
- Custom BI & Internal Tools – SQL-based access for proprietary dashboards and applications
Built for Heavy Analytics
- High-concurrency query execution
- Optimized for large datasets and long time ranges
- Supports real-time and historical reporting side by side
- Enables advanced aggregations, trends, and behavioral analysis
- Isolates analytical workloads from production systems
📈 This architecture allows enterprises to run complex BI workloads—thousands of queries, large joins, and long retention periods—while maintaining consistent performance and predictable scalability.
Summary
Central Unified Data Lake delivers a centralized, scalable, cloud-optimized analytics foundation that works in parallel with any ClickHouse environment.
It empowers organizations to:
- Unify analytics
- Scale confidently
- Reduce operational complexity
Unlock long-term insights
- All while remaining flexible, cloud-aware, and enterprise-ready.