Connected at Source. Broken in Transit.
Most data engineering teams are expert at connecting sources. The real cost is in building, maintaining, and debugging dozens of one-off connectors, pipelines, and transformations that break under schema changes, volume spikes, or source API updates. That's not engineering — it's plumbing. RubiFlow replaces fragile custom infrastructure with a governed, observable pipeline platform so your engineers build once and trust always.
Every Data Engineer Has a Different Problem.
RubiFlow Solves All of Them.
Senior DE
Scale & Performance
Senior data engineers shouldn't be writing the same Kafka consumer for the third time. RubiFlow's batch-and-streaming canvas, automated schema evolution, and full lineage capture mean you focus on architecture, not plumbing.
Batch + streaming in one unified canvas
Automated schema evolution — no more migration scripts
Git-based pipeline versioning and rollback
Everything a Data Engineer Needs
200+ NATIVE CONNECTORS
200+
Zero Custom Code
Connect every data source out of the box — databases, SaaS apps, cloud storage, streaming platforms, IoT devices and enterprise systems.
CONNECTOR COVERAGE · BY TYPE
VISUAL ETL & CODE-FIRST
3×
Faster Delivery
Canvas or code — your choice. Deploy to batch, micro-batch or real-time streaming from one environment.
CDC & REAL-TIME INGESTION
<1s
Data Freshness
Change data capture. Sub-second freshness across your entire data layer. Kafka, Kinesis, event buses — all native.
DATA QUALITY ENGINE
100%
Quality Coverage
Define quality rules, run automated profiling and enforce SLAs at every stage of the pipeline. Alert, quarantine or reject bad data before it reaches consumers.
Profiling
SLA checks
A Data Pipeline Platform That Pays for Itself.
200+
Native Connectors
Databases, SaaS, cloud storage, streaming platforms, IoT — zero custom connector code
3×
Faster Pipeline Delivery
Visual ETL canvas + code-first option. Build, test, deploy in a fraction of the time
100%
Full Data Lineage
Column-level lineage from source to consumer — automatic capture, no manual documentation
<1s
CDC Freshness
Sub-second change data capture from any relational source. Data that's current, always.
What Data Engineers Get Out of the Box
3× faster pipeline delivery
Full data lineage capture
Automated schema evolution
Batch + streaming in one canvas
Built-in orchestration scheduler
Data catalogue integration
Column-level lineage tracking
Git-based pipeline versioning
The Data Engineer's Role Doesn't End at Shipping the Pipeline.
The highest-impact data engineers combine platform depth with continuous learning — turning raw ingestion into governed, trusted data products, and building credentials that compound over time.
RubiFlow
The Data Foundation Studio. 200+ connectors, visual ETL, CDC, automated lineage and data quality — governed from the first byte.
Explore RubiFlowAI Labs & COE
Build and test pipelines in a Learning Sandbox. Create IP. Participate in innovation challenges mapped to real engineering use cases.
Set Up Your LabData Engineer Path
12 weeks. Ingestion, ETL, streaming, governance. Rubiscape Certified Data Engineer — the credential that enterprise and government teams recognise.
View Certification Path