Data Engineering
Self Service Enterprise AI
Data Science and Machine Learning Platform Purpose-built for the Enterprise
Drag and Drop | Multi-tenant | White-label | Cloud -agnostic | Scalable | Extensible Advance Analytics Studio
ML/Al for Everyone
Irrespective of the skillset, empower every Analyst, Citizen Data Scientist. Data Engineer and Data Scientist to power data-driven decisions with ease and efficiency
ML/Al at the Speed of Business
Collaboratively build best-in-class Machine Learning applications in hours using 300+ pre-built drag-and-drop processors in Sparkflows Big Data ML Workbench and make data driven decisions in real time.
Load
Enrich
Feature
Build Model
Deploy
Visual Application Development
- Build workflows by dragging and dropping
- Rich collection of 25O Processors
- Biew results of previous runs
Machine Learning
- Classification / Clustering / Regression
- Collaborative Filtering
- Save/Load Model / Predict
- Cross Validator
Machine Learning Engines
- SparkML
- H20
- Tensorflow
- Scikit Learn
- XGBoost
Spakflows.io enables Complex Big Data Engineering with ease. It has 200+ building blocks and a smart workflow editor for building out the workflows.
✓ Variety of Processors for enabling Big Data Engineering
✓ Connectors for reading from various Big Data sources
✓ Data Validation
✓ Data Cleaning & Transforms
✓ De-duplication of data
✓ Storing data into various Big Data Stores
✓ Connect various SQL for powerful transforms
✓ Seamlessly Perform Stream Processing
✓ Perform Complex Dedupe with Ease
✓ Process both Structured & Unstructured Data
✓ Built-In Dashboards
