All data is first generated in real-time, be it financial transactions, sensor data, web click-streams, geo-location, weather reports, data from social media, and other event streams.
Analyzing incoming live data can help businesses detect and act on strategic opportunities in real-time. However, most organizations aren’t fully harnessing the power of real-time analytics.
There is a pressing need for a platform that can integrate high velocity data from multiple disparate live data sources, and to deliver clean, accurate, and complete ‘analytics-ready’ data at lightning speed for multiple ML and BI use cases.
This white paper explores the top 6 considerations for choosing a next-gen real-time analytics platform.
The only all-in-one data pipeline platform
- One platform to do it all - ETL, ELT, ingestion, CDC, ML
- Self Service, zero-code, drag and drop interface
- Built-in DataOps, MLOps, and DevOps tools
- Cloud-agnostic and interoperable