Storage & Lakehouse · Data & intelligence
Modern Lakehouse Architecture for Enterprise Analytics.
Store petabytes of structured and unstructured data with zero maintenance overhead and lightning-fast query execution.
Architecture motto
“High-Performance Lakehouse Engineering at Scale.”
Pipelines, warehouses and decision-ready analytics.
Enterprise RAG Hybrid Vector Search & Re-Ranking Engine
PDFs, Sharepoint docs, and SQL databases are split into 512-token semantic chunks and embedded into 1,536-dimensional Qdrant vector space.
Why Syntamatic · For every company size
How Data Warehouses and Data Lakes works for your organisation
Whether you run a global enterprise, a scaling mid-market business, or a focused SMB — Syntamatic designs delivery, governance and technology to match how you actually operate.
Fortune & regional enterprises
AI-embedded systems for complex operations
Enterprise programmes for Data Warehouses and Data Lakes with integration, security and accountable SLAs.
- Architecture-first delivery with accountable SLAs
- Private AI, RAG and agent systems under your control
- Integration across ERP, data and workforce platforms
Legacy Status Quo vs. Syntamatic AI-Native State
In-depth architectural comparison, workflow flowchart breakdown, quantified performance metrics, and C-Suite strategic impact model for Data Warehouses and Data Lakes.
Manual & Fragmented Operations
Queries taking hours to complete and compute tied to storage.
Legacy environments rely on disconnected spreadsheets, manual copy-pasting across legacy ERPs, and batch file drops. This creates single-point human dependencies, data corruption, and operational vulnerability during volume surges.
- Manual re-entry and processing backlogs
- Slow monolithic release schedules
- No real-time operational visibility
Autonomous & AI-Native Execution
Independent compute scaling delivering sub-second SQL queries.
Syntamatic orchestrates governed AI agent workflows, intelligent document processing, and secure API gateways directly into your core systems—executing workflows with complete audit traceability.
- Lakehouse Migration & Design
Operational challenge
Legacy Data Warehouse Bottlenecks
On-premise data warehouses cannot scale compute independently from storage, resulting in exorbitant costs.
Why Syntamatic
Cloud Data Lakehouse Deployment
Deploy Snowflake or Databricks lakehouses that separate compute from storage for cost-effective performance.
Separates compute from storage to dramatically lower cloud analytics expenditure.
Capabilities & stacks
Lakehouse Migration & Design
Migrating legacy SQL databases to cloud lakehouses.
- Lakehouse Schema Architecture
- Data Migration Scripts
Stack highlighted for Data Warehouses and Data Lakes
Centralized genomic and clinical trial data repository.
SMB & Growth ROI Estimator
Frequently asked
What is a Data Lakehouse?
A lakehouse combines the cost efficiency of data lakes with the ACID transactions of warehouses.
Move AI From Ambition to Operation.
Tell us about your enterprise, your priority and your timeline. We will route your request to the right industry and capability lead — and respond with a clear next step.