/ 01case study
saal.ai
AI · Vision · UAE
$2.4M / yr saved
Databricks → LumoraDS
LIVE DATA INTELLIGENCEStreams · Governed · AI-ready
DataC9 · By LumoraDS
Turn raw datainto sharp decisions.
Enterprise-grade data platforms, real-time analytics, AI/ML pipelines — architected for petabytes, delivered with precision. One unified control plane. 40% lower cost than Databricks or Snowflake.
LIVE FABRICSTREAMING
Postgres
Kafka
S3
Salesforce
DATAC9
AI / RAG
BI Tools
APIs
ingest · transform · govern · serve99.98% SLA
9 purposeful stages. Zero missing links.
250M+
Records / second
99.99%
Cloud-agnostic uptime
40%
Lower TCO vs Databricks
US Patent
Granted utility patent
/ TRUSTED BY THE ROOMS THAT MATTER
Architects who ship data at global scale.
Six engagements. One playbook. Hover a frame to see the outcome — every dollar independently attested.
/ 02case study
SBI Bank
Retail Banking · India
38% lower TCO
Snowflake → DataC9
/ 03case study
Jindal
Steel · Energy · India
6.1x throughput
Kafka + DataC9
/ 04case study
Crowley
Logistics · US · Global
$4.8M / 3 yrs
Databricks → DataC9
/ 05case study
Citi
Investment Bank · Global
99.99% SLA held
Real-time RAG
/ 06case study
APAC Insurer
Insurance · Singapore
42% cloud cut
AWS FinOps
All company names and imagery shown are used for illustrative purposes. Outcomes are anonymised composites from LumoraDS engagements; specific references available under NDA.
/ WHAT LUMORA DS DOESThree services.
Three services.
One operating model.
LumoraDS is a service company built by data and platform engineers. We resource, we build and we advise — and we ship our own patented data product, DataC9, when it gives the customer the unfair advantage they came for.
Detailed services & industries01 / Service
Resourcing
Senior data & engineering talent
Hand-picked architects, data engineers and ML platform specialists. Single hires or managed pods of 4–20, deployed from US, India, UAE and Bahrain.
- Vetted senior+ engineers
- Managed pods · 3–12 months
- Follow-the-sun delivery
02 / Service
Application Development
Custom builds, ML & GenAI
End-to-end product delivery — web, data and AI applications. Real-time pipelines, custom connectors, RAG copilots and observability built in.
- Web & data products
- ML / RAG pipelines
- DevOps & SRE included
03 / Service
Consulting
Strategy · architecture · cost
Platform selection, target architecture, governance blueprints and cost engineering. Outcome-priced engagements with savings written into the SOW.
- Architecture & roadmap
- Vendor benchmarking
- Cost & TCO engineering
Flagship Product · By LumoraDS
Meet DataC9.
Two decades of consulting taught us where every data platform breaks. So we built our own. DataC9 is LumoraDS's patented, AI-enabled data engineering fabric — the same product we deploy when customers want a Databricks- or Snowflake-class outcome at 40% lower cost.
Patented engine9-pillar fabricCloud-agnosticPrivate RAGReal-time
LumoraDS / Product
DataC9
40%
Lower TCO
99.99%
Cloud-agnostic uptime
9
Pillars in one fabric
US
Patent granted
· Anydata · Anywhere · Anything→ explore
DataC9 · Flagship Product
/ THE MATRIXOne platform. Zero compromises.
Databricks gives you compute. Snowflake gives you a warehouse. DataC9 gives you the whole fabric — ingest, storage, intelligence, governance and serving — on a single control plane, for up to 40% less.
40% lower TCO, guaranteed
Capability
LUMORA ITSWinner
Databricks
Snowflake
Unified governance (catalog + lineage + RBAC)
Single control plane for ingest → AI
Polyglot storage (open formats, any cloud)
Code-as-SQL patented query engine
No vendor lock-in (bring your own cloud)
Built-in RAG pipelines & private LLM data
Total cost of ownership
40% lower
High
High
Time to first insight
Days
Weeks
Weeks
Based on LumoraDS customer benchmarks across 40+ enterprise workloads.
/ THE FABRIC
The 9 Pillars of Data Engineering
Nine purposeful "C"s — each anchored in a pillar of the lifecycle. From raw signal to trusted AI, every step is engineered for scale, speed and simplicity.
01
Connect
Universal Ingestion
Plug into any source—databases, SaaS, streams, files—on any cloud or on-prem. Auto schema detection, drift monitoring, zero plumbing.
C / 9→ unified fabric
02
Compose
Pipeline Orchestration
Thousands of ready functions. Build ETL pipelines in low-code or code. Scheduled, versioned, observable.
C / 9→ unified fabric
03
Contain
Polyglot Storage
Open-format, S3-compatible persistence tuned per workload. Migrate clouds in hours, not quarters.
C / 9→ unified fabric
04
Consume
Drag-and-Drop Visuals
Blazing-fast indexed store powers dashboards, APIs, and self-serve exploration without friction.
C / 9→ unified fabric
05
Cognitive
AI, ML & RAG
R, Java, Spark, Python, LLMs and RAG — run advanced analytics and private GenAI on your own data.
C / 9→ unified fabric
06
Curate
Quality & Enrichment
Cleanse, validate and enrich with rigorous frameworks. Every dataset carries a trust score.
C / 9→ unified fabric
07
Converge
Single Source of Truth
Sophisticated deduplication and entity resolution unify fragmented records into one reliable view.
C / 9→ unified fabric
08
Catalog
Discovery & Lineage
Dynamic metadata layer: discoverable, searchable, lineage-tracked and governed by default.
C / 9→ unified fabric
09
Control
Security & Governance
Fine-grained RBAC, audit trails, SSO/LDAP, Kubernetes-native autoscaling. Cloud agnostic.
C / 9→ unified fabric
/ ARCHITECTUREFour pillars.
Four pillars.
Five layers.
One fabric.
An end-to-end AI-enabled data engineering fabric that spans the entire lifecycle — from source to insight, from raw signal to trusted decision. Improved visibility and governance in a single platform.
01 / Pillar
Data Connectivity
Seamlessly hook into any source—databases, applications, streams or files—across cloud and on-prem with zero friction.
02 / Pillar
Data Intelligence
Turn raw data into actionable insight with built-in AI, machine learning and self-service analytics.
03 / Pillar
Data Governance
Enforce quality, lineage, security and compliance across every dataset and workflow.
04 / Pillar
Data Democratization
Empower every team to discover, understand and use trusted data through an intuitive, collaborative layer.
/ STACK
How the layers interlock
Five interlocking layers flow data from raw source to business outcome. Every layer is protected by governance and powered by the 9 "C" components of the LumoraDS fabric.
Governed✓
Real-time✓
AI-ready✓
Cloud-agnostic✓
05
Governance Layer
Catalog · Curate · Control
Always On
04
Intelligence Layer
Cognitive · RAG · ML
AI Inside
03
Storage Layer
Contain · Polyglot · S3
Any Cloud
02
Ingestion Layer
Connect · Compose
Real-Time
01
Data Source Layer
ERP · CRM · IoT · Streams
Live Sources
USPTO · Granted Utility Patent
Protected innovation.
Enforceable moat.
LumoraDS operates on a query-execution architecture awarded a granted utility patent by the United States Patent and Trademark Office. The technology decouples the SQL layer from the runtime — making any language, any environment, any cloud, indexable and governable through a single interface.
Jurisdiction
USPTO
Status
Granted
Coverage
Utility
Full patent registration details are available under NDA to qualified enterprise and procurement teams during due diligence.
· SEAL ·
The architectural invention behind LumoraDS
A system and method for executing SQL against code running in any language or environment — returning structured, streamable results in near real time. It is the primitive that lets our customers retire fragile ETL plumbing and adopt a single governed plane for ingestion, analytics and AI.
Granted IP
Our core query-execution engine is protected by a granted United States Patent — an enforceable moat that no warehouse vendor can replicate.
Language agnostic
One SQL interface. Any runtime — Python, Java, R, Spark, WASM. The engine brokers the conversation so your teams never context-switch.
Defensible by design
Parser, protocol server and polyglot code executor operate in isolation, audit-logged end to end and hardened against prompt or code injection.
/ Manifesto — four chapters
We didn't want another data platform.
We wanted the last one.
Four principles — one architecture. Read them slowly.
01
/ Anydata
Every source, one fabric.
Streams, warehouses, S3, SaaS APIs — no more copy-pasting pipelines. One patented control plane governs them all, from ingestion to inference.
02
/ Anywhere
Any cloud, on your terms.
Kubernetes-native. Run on AWS, Azure, GCP or your own metal — same runtime, same auth, same SLAs. Move providers without moving your team.
03
/ Anything
BI, RAG, agents — one runtime.
The same governed data powers dashboards, retrieval, and autonomous agents. No shadow copies. No parallel security models. No leaks.
04
/ 40% less
Because the invoice lies.
The line-item you see hides the people, the tools, the reliability tax. We rebuilt the primitives so total cost of ownership drops — guaranteed in writing.
Prepared for your team · lumorads.com · Aug 2026
/ DATA PLATFORM ECONOMICS
The invoice is onlythe visible cost.
Compare Databricks, Snowflake and your platform across consumption, people, tooling, reliability, migration and growth.
/ YOUR SAVINGS CLAIM
50–60%Target vs. the lower-cost incumbent✓ VALIDATED IN THIS SCENARIO02 · See the whole bill
Databricks
$110M3-year TCO$48M exit run-rate
Snowflake
$117M3-year TCO$51M exit run-rate
DataC9
$48M3-year TCO$21M exit run-rate
Cost anatomy
$802K
$6M
$279K
$94M
$94M
$45M
$38K
$38K
$38K
$968K
$1M
$403K
$12M
$12M
$2M
$2M
$3M
$591K
$180K
$220K
$70K
/ SCENARIO VERDICT
The economics support your positioning.
DataC9 is 56.2% cheaper than the lower-cost incumbent, saving $62M over 3 years. Edit every assumption before using this as a formal business case.
56%LOWER TCO
03 · Lock the 3-year saving
$62M on the table
Drop your work email and we'll send a line-item PDF quote plus a calendar hold with a solutions architect. One human reply, no drip.
/ INTEROPSpeaks every stack
Speaks every stack
in your enterprise.
200+ native connectors and counting. Drop LumoraDS into your existing investments — no rip-and-replace, no proprietary formats, no lock-in.
01Ingest
Apache Spark
Presto / Trino
Kafka
Airflow
dbt
Flink
02Databases
PostgreSQL
MongoDB
Snowflake
Databricks
Oracle
MySQL
03Cloud
AWS
GCP
Azure
Kubernetes
MinIO
Docker
04AI / LLM
OpenAI
Anthropic
LangChain
Pinecone
Hugging Face
Ray
05BI
Tableau
Power BI
Looker
Metabase
Superset
Grafana
+ 180 more connectors available via the LumoraDS Connect SDK
/ ABOUTWe architect
We architect
the unknown.
LumoraDS is a deeply technical team of data engineers, distributed systems veterans and AI practitioners. We've spent two decades building petabyte-scale data platforms for tier-1 banks, telcos and digital natives — now packaged into a single, patented, cost-sane product.
Anydata. Anywhere. Anything. That isn't a tagline — it's the architectural commitment our patent is built on.
Services, industries & 20+ years →Headquartered
United States
Delivery hubs
India · UAE · Bahrain
Engineering team
Spark, Presto & Kubernetes core committers
Mission
Kill data complexity. Democratize intelligence.
/ CONTACTLet's make your
Let's make your
data move.
Tell us about your stack, your pain, your scale. A solutions architect will reply within one business day with a LumoraDS benchmark against your current Databricks or Snowflake bill.