Build Reliable Data Pipelines with Ease

Connect, transform, and automate data from varied sources using 100+ data source connectors, into analytics-ready datasets.

AI-Powered Business Intelligence Platform That's Easy to Use

Lumenore is Trusted By 20,000+ Users
Across 100+ Enterprise Teams

Birlasoft
Blossom
Ducont
FordCredit
NHM
RainforestAlliance
Shortlist
Bayer
SiriusXm
THK
SEED
Briminc
Trident
DWIHN
JCCI
Ajman
eSports
SRIT
KMI
Qualfon
PrimeHealth
Birlasoft
Blossom
Ducont
FordCredit
NHM
RainforestAlliance
Shortlist
Bayer
SiriusXm
THK
SEED
Briminc
Trident
DWIHN
JCCI
Ajman
eSports
SRIT
KMI
Qualfon
PrimeHealth
Software advice
Capeterra
Soft Advice
get app

ETL Capabilities that Remove Day-to-Day Friction

Connect
Any Source

100+ connectors and API endpoints to unify data from cloud, on-prem, apps, and files.

Visual & User-
Friendly ETL

Drag-and-drop pipelines or SQL for advanced transformations.

Automate
Everything

Schedule and monitor pipelines with alerts and logs.

Highly Scalable and
Flexible

From ad hoc workflows to enterprise data lakes.

How It Works

How ETL Works How ETL Works

Testimonials

Open Quote

With Data Magnet, we now have a centralized ETL and orchestration layer with much better visibility and control. Pipelines are more stable, source onboarding is faster, and our data reaches analytics teams in a consistent, analytics-ready form. Most importantly, our engineers spend far less time firefighting and more time improving the quality and reliability of healthcare data.

Head of Data Engineering
A Global Healthcare Organization

Close Quote

Lumenore Vs Other ETL Tools

CapabilityLumenoreOther ET Tools
Core Focus

End-to-end data pipelines built for analytics readiness

Primarily data extraction and loading

Source Connectivity

Databases, files, APIs, batch, real-time, CDC

Broad connectors, sometimes add-on based

Batch + Real-Time + CDC

Native support in one platform

Often split across features or tiers

Pipeline Orchestration

Built-in orchestration and scheduling

Often relies on external orchestrators

Monitoring & Observability

Built-in job health, logs, alerts (email/Teams)

Limited native monitoring or add-ons

Schema Change Handling

Adaptive handling within pipelines

Limited or requires manual intervention

Transformations

Joins, aggregations, normalization, migrations

Strong transformation support

Deployment & Versioning

Centralized control with reduced downstream risk

Available in enterprise tools, setup-heavy

Cost Efficiency

Optimized execution and pushdown processing

Costs scale with compute and usage

Analytics-Ready Outputs

Designed to feed analytics and AI layers directly

Requires additional downstream tooling

Operational SLAs

Data freshness and pipeline status visibility

Often custom-built

Governance Readiness

Integrated access control and controls

Usually handled outside ETL

Ease of Adoption

Designed for engineering + analytics teams

More engineering-centric

Start building reliable
data pipelines