

Data Lakehouse
Blending the best of data lakes and data warehouses. Unify all your data, processing, analytics, AI/ML, and govern it all with enterprise-grade security.

Data Integration & ETL
Integrate data from various sources and process it with the power of Blendata's Big Data engine, the optimized Apache Sparkā¢*. Shorten processing times by at least 2x compared to traditional ETL tools.

Interactive SQL Analysis
Streamline your data exploration, processing, or reporting with a familiar grammar, incorporating ANSI SQL and Spark SQL* functions. Easily explore, manage, and schedule processing jobs for your data or connect with your choice of BI tools like Tableau*, Qlik*, or PowerBI*.

Advanced Analytics (AI/ML)
From integrating big data, performing processing & analytics, to crafting AI/ML models for advanced analytics solutions. Providing a familiar data scientist experience with a notebook interface that can be controlled through popular coding languages like Python (PySpark)*, R (SparkR)*, Scala/Java*, and SQL.

Streaming Analytics
Real-time processing of large streaming data sources like sensors, IoT device data, logs, metrics, and more, using familiar syntax such as SQL or coding with Python*, R*, Scala, or Java*. Achieve real-time data analytics use cases with a robust and efficient platform.

Hadoop Platform Replacement
Discover an alternative big data management solution to traditional Hadoop platforms that delivers equivalent business outcomes while offering cost savings by optimizing a tremendous amount of resources with a Lakehouse architecture.