Data Lakehouse
Blend the flexibility of data lakes with the performance of data warehouses. Unify all your data, processing, analytics, and AI/ML— and govern it with enterprise-grade security.
Data Integration & ETL
Integrate data from various sources and process it using Blendata's powerful big data engine, optimized with Apache Spark™*. Experience at least 2x faster processing compared to traditional ETL tools.
Interactive SQL Analysis
Streamline data exploration, processing, and reporting with familiar syntax, leveraging ANSI SQL and Spark SQL* functions. Easily explore, manage, and schedule processing jobs for your data or connect with your preferred BI tools like Tableau*, Qlik*, or PowerBI*.
Advanced Analytics (AI/ML)
From big data integration and processing to building AI/ML models, Blendata Enterprise provides a familiar experience through a notebook interface, supporting popular coding languages like Python (PySpark)*, R (SparkR)*, Scala/Java*, and SQL.
Streaming Analytics
Real-time processing of large-scale streaming data sources—such as sensors, IoT device data, logs, and metrics—using familiar syntax like SQL or coding languages including Python*, R*, Scala, and Java*. Achieve real-time data analytics with a robust and efficient platform.
Hadoop Platform Replacement
Retire aging Hadoop clusters for a modern sovereign lakehouse — on the infrastructure you already own, on-premises or any cloud. The same outcomes at 2–5× lower cost, with your data never leaving your ground.